exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Add tools to agents: Add a tool by using an existing custom connector' in a new scenario, then check your reasoning against the official source. Source context: Read in English Take action in external systems using connector and REST API agent tools in Microsoft Copilot Studio Module 7 Units Feedback Intermediate App Maker Functional Consultant Microsoft Power Platform Microsoft Copilot Studio Configure Power Platform connectors and REST APIs as tools for your Copilot Studio agents. Learn to add prebuilt and custom connectors, upload OpenAPI specifications to create REST API tools, and configure authentication to integrate your agent with external services. Note Microsoft Copilot Studio has introduced a new experience with updated features, capabilities, and navigation.
11 October 2026 · Integrate and extend agents in Copilot Studio (40–45%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Use GitHub Copilot features and capabilities: Use Agent Mode, Copilot Edits, and MCP for enhanced development and workflows; manage Agent Sessions and delegate tasks to Sub‑Agents for optimized context usage' in a new scenario, then check your reasoning against the official source. Source context: Read in English Building applications with GitHub Copilot agent mode Module 6 Units Feedback Intermediate DevOps Engineer Administrator Developer Solution Architect Student GitHub Azure Learn how to build applications using GitHub Copilot Agent Mode by prompting autonomous development tasks, using documentation for guidance, and understanding how Agent Mode iteratively manages, refactors, and improves your codebase. Learning objectives In this module, you'll: Understand how to develop with VS Code IDE in a GitHub Codespace Prompt GitHub Copilot agent mode to create an application Leverage documentation files to instruct GitHub Copilot agent mode Understand how GitHub Copilot agent mode iterates over a code base to: Fix errors Refactor code Develop new features Add Prerequisites A GitHub account and a fundamental understanding of GitHub Copilot Include any concepts or skills that help learners succeed Get started with Azure Choose the Azure account that's right for you. Pay as you go or try Azure free for up to 30 days.
11 October 2026 · Use GitHub Copilot features (25–30%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Refactor, debug, and improve code sections by using GitHub Copilot tools: Generate suggestions to fix a bug by using GitHub Copilot Chat' in a new scenario, then check your reasoning against the official source. Source context: Read in English Implement code improvements using GitHub Copilot tools Module 10 Units Feedback Intermediate Developer GitHub This module explores using GitHub Copilot Chat to develop improvements for an existing codebase. Exercises provide practical experience implementing GitHub Copilot suggestions that improve code quality, reliability, performance, and security. Learning objectives By the end of this module, you're able to: Develop prompts/questions for GitHub Copilot Chat that help you to improve the code in your existing code projects.
11 October 2026 · Refactor, debug, and improve code sections by using GitHub Copilot toolsexam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Run model training scripts: Use logs to troubleshoot job run errors' in a new scenario, then check your reasoning against the official source. Source context: Read in English Automate model training with GitHub Actions Module 9 Units Feedback Beginner Data Scientist Azure Machine Learning GitHub Choose this module if you want to automate and validate model training with GitHub Actions and Azure Machine Learning pipelines. Learning objectives In this module, you learn how to: Identify which machine learning assets to version in Git and which belong in purpose-built services such as data stores and model registries. Describe trunk-based development practices — short-lived branches, pull requests, and branch protection rules — that keep the shared branch stable while allowing safe iteration.
11 October 2026 · Train and deploy models (25–30%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Identify responsible AI and data protection practices: Identify common risks, including fabrications, prompt injection, and over-reliance' in a new scenario, then check your reasoning against the official source. Source context: Read in English Identify AI data risks using Microsoft Purview Data Security Posture Management Module 6 Units Feedback Intermediate Security Engineer Microsoft Purview Azure Use Microsoft Purview Data Security Posture Management for AI to discover how sensitive data flows through AI tools, identify overexposed SharePoint content, and review interaction risks generated by Copilot and AI applications. Learning objectives After completing this module, you can: Configure Microsoft Purview Data Security Posture Management (DSPM) for AI Assess SharePoint data overexposure risks that affect AI grounding data Identify sensitive data risks in Copilot and AI application interactions Interpret DSPM for AI dashboards and prioritize remediation actions Add Prerequisites Familiarity with Microsoft Purview portal navigation Basic understanding of data security and posture management concepts Awareness of Microsoft 365 Copilot and AI application data access patterns Get started with Azure Choose the Azure account that's right for you. Pay as you go or try Azure free for up to 30 days.
11 October 2026 · Understand generative AI fundamentals (25–30%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Describe Microsoft Dataverse: Describe tables, columns, and relationships' in a new scenario, then check your reasoning against the official source. Source context: Read in English Describe the core features of Microsoft Security Copilot Module 9 Units Feedback Beginner Security Operations Analyst Security Engineer Business Owner Microsoft Defender for Threat Intelligence Microsoft Defender for External Attack Surface Management Microsoft Sentinel Microsoft Intune Microsoft Entra Microsoft Purview Microsoft Defender Microsoft Copilot Microsoft Security Copilot has a rich set of features. Learn about available plugins, promptbooks, the ways you can export and share information from Copilot, and much more. Learning objectives By the end of this module, you're able to: Describe the features available in the standalone Copilot experience.
11 October 2026 · Manage the Microsoft Power Platform environment (20–25%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Automate deployment of resources by using Azure Resource Manager (ARM) templates or Bicep files: Modify an existing Bicep file' in a new scenario, then check your reasoning against the official source. Source context: Read in English Create Azure Resources by using Azure Resource Manager templates Module 8 Units Feedback Advanced Administrator AI Engineer Data Engineer Developer DevOps Engineer Platform Engineer Security Engineer Security Operations Analyst Service Adoption Specialist Solution Architect Startup Founder Technology Manager Azure Azure Artifacts Azure Boards Azure Cloud Services Azure DevOps Azure Pipelines Azure Repos Azure Test Plans GitHub This module explores Azure Resource Manager templates (ARM templates) and their components, teaching you how to create declarative infrastructure as code. Learn to manage dependencies, modularize templates for reusability, and securely handle secrets with Azure Key Vault integration. Discover both JSON ARM templates and modern Bicep syntax for efficient Azure resource deployment.
11 October 2026 · Deploy and manage Azure compute resources (20–25%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Design compute solutions: Recommend a virtual machine-based solution' in a new scenario, then check your reasoning against the official source. Source context: Read in English Design an Azure compute solution Module 11 Units Feedback Advanced Solution Architect Azure App Service Azure Batch Azure Container Instances Azure Virtual Machines Azure Architects design and recommend Azure compute solutions. Learning objectives In this module, you learn how to: Choose an Azure compute service. Design for Azure Virtual Machines solutions.
11 October 2026 · Design infrastructure solutions (30–35%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Describe security and compliance concepts: Describe Governance, Risk, and Compliance (GRC) concepts' in a new scenario, then check your reasoning against the official source. Source context: Read in English Describe security and compliance concepts Module 8 Units Feedback Beginner Business User Student Azure Microsoft 365 Learn about common security and compliance concepts that are foundational to Microsoft solutions. Topics include the shared responsibility and Zero Trust models, encryption, data residency and data sovereignty, and more. Learning objectives After completing this module, you'll be able to: Describe the shared responsibility model and how responsibilities shift across on-premises, IaaS, PaaS, and SaaS environments, including AI services.
11 October 2026 · Describe the concepts of security, compliance, and identity (10–15%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Get or connect to data: Create and modify parameters' in a new scenario, then check your reasoning against the official source. Source context: Read in English Create a custom connector to extend Microsoft Power Platform functionalities with Business Central Module 8 Units Feedback Intermediate Developer Functional Consultant Business User Dynamics 365 Business Central Do you need to create custom connectors for Business Central. Use this module to find out the details of creating custom connectors. Learning objectives In this module, you will: Learn about the concept of data connectors in Microsoft Power Platform.
11 October 2026 · Prepare the data (25–30%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Implement AI solutions for information extraction by using Foundry: Extract information from documents and forms by using Azure Content Understanding in Foundry Tools' in a new scenario, then check your reasoning against the official source. Source context: Read in English Get started with AI-powered information extraction in Azure Module 6 Units Feedback Beginner AI Engineer Foundry Tools Microsoft Foundry AI gives you the power to unlock insights from your data. Learn how to use Azure Content Understanding in Foundry Tools to extract information from content. Learning objectives After completing this module, you'll be able to: Describe Azure Content Understanding and its core purpose Explain how content is processed, from ingestion, to analysis, to structured output Identify supported content types (documents, audio, and video) Use analyzers and schemas to extract structured data Explore and interact with results using Foundry tools and APIs Add Prerequisites Before starting this module, you should already have: Familiarity with Azure portal Introduction min Extract information from documents min Extract information from audio and video min Exercise - Get started with information extraction in Microsoft Foundry min Module assessment min Summary min Take the module assessment Module Assessment Results Assess your understanding of this module.
11 October 2026 · Implement AI solutions by using Microsoft Foundry (55–60%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Create a custom sensitive information type: Customize a built-in sensitive information type' in a new scenario, then check your reasoning against the official source. Source context: Read in English Create and manage sensitive information types Module 10 Units Feedback Intermediate Auditor Information Protection and Compliance Administrator Risk Practitioner Microsoft 365 Learn how to use sensitive information types to support your information protection strategy. Learning objectives After completing this module, you'll be able to: Recognize the difference between built-in and custom sensitive information types. Configure sensitive information types with exact data match-based classification.
11 October 2026 · Create a custom sensitive information typeexam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Create and troubleshoot custom actions: Troubleshoot action execution and errors' in a new scenario, then check your reasoning against the official source. Source context: Read in English Create and publish custom GitHub actions Module 6 Units Feedback Intermediate DevOps Engineer Administrator Developer Solution Architect GitHub Learn how to write your own GitHub actions and identify the metadata, syntax, and workflow commands to create custom workflows. Learn best practices for documenting and versioning your action, and how to publish your action to the GitHub Marketplace. Learning objectives In this module, you'll learn how to: Identify the metadata and syntax needed to create custom GitHub actions.
11 October 2026 · Author and maintain actions (15–20%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Query and analyze data: Select, filter, and aggregate data by using DAX' in a new scenario, then check your reasoning against the official source. Source context: Read in English Summarizing data: Aggregate functions and grouping Module 5 Units Feedback Beginner Database Administrator Developer Azure Database for PostgreSQL This module introduces aggregate functions in SQL, which are essential for analyzing data. You learn how to use functions like COUNT, SUM, AVG, MIN and MAX, group data using the GROUP BY clause and filter grouped results with the HAVING clause. Learning objectives By the end of this module, you'll be able to: Understand the role of aggregate functions in data analysis Use COUNT to count all rows or distinct values in a column Use SUM to calculate the total of values in a numeric column Use AVG to compute the average of numeric values in a column Use MIN and MAX to find the lowest and highest values in a column Group data using GROUP BY to apply aggregate functions to each group Differentiate between GROUP BY and DISTINCT, and use GROUP BY even without aggregate functions to list unique values Use HAVING to filter grouped results based on aggregate function outcomes Add Prerequisites Before starting this module, you should have a basic understanding of SQL SELECT statement.
11 October 2026 · Prepare data (45–50%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Identify benefits and capabilities of Microsoft 365 Copilot and Microsoft Copilot: Understand differences in capabilities between versions of Copilot' in a new scenario, then check your reasoning against the official source. Source context: Read in English Empower your workforce with Microsoft 365 Copilot: IT Use Case Module 13 Units Feedback Beginner Administrator Business Analyst Business User Data Analyst Functional Consultant Security Operations Analyst Student Microsoft 365 Office 365 This module enables students to perform a series of Use Case exercises that build their Microsoft 365 Copilot skills in IT-related business scenarios. Learning objectives By the end of this module, you should be able to: Use Microsoft 365 Copilot Chat to accelerate the early stages of project planning and ensure alignment across IT, business, and leadership teams. Use Microsoft 365 Copilot in Whiteboard to facilitate a collaborative brainstorming session to capture and categorize all risks associated with a project.
11 October 2026 · Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services (35–40%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Describe the capabilities of Power Pages: Describe use cases for Power Pages' in a new scenario, then check your reasoning against the official source. Source context: Read in English Describe the capabilities of Microsoft Power Pages Module 6 Units Feedback Beginner Business Owner Business User App Maker Student Power Pages This module introduces learners to the capabilities of Microsoft Power Pages and the different methods to build and secure Power Pages sites. Learning objectives In this module, you learn how to: Describe Power Pages use cases. Create and manage Power Platform sites using design studio and AI-powered Copilot.
11 October 2026 · Demonstrate the capabilities of Power Pages (10–15%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Describe monitoring tools in Azure: Describe Azure Service Health' in a new scenario, then check your reasoning against the official source. Source context: Read in English Describe monitoring tools in Azure Module 6 Units Feedback Beginner Administrator Developer DevOps Engineer Solution Architect Azure This module covers tools that you can use to monitor your Azure environment. Learning objectives By the end of this module, you'll be able to: Describe the purpose of Azure Advisor. Describe Azure Service Health.
11 October 2026 · Describe Azure management and governance (30–35%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Automation and AI tools: Identify how GitHub Copilot assists with AI-powered code suggestions, including Copilot agents, Agent Mode, and multi‑model support' in a new scenario, then check your reasoning against the official source. Source context: Read in English Building applications with GitHub Copilot agent mode Module 6 Units Feedback Intermediate DevOps Engineer Administrator Developer Solution Architect Student GitHub Azure Learn how to build applications using GitHub Copilot Agent Mode by prompting autonomous development tasks, using documentation for guidance, and understanding how Agent Mode iteratively manages, refactors, and improves your codebase. Learning objectives In this module, you'll: Understand how to develop with VS Code IDE in a GitHub Codespace Prompt GitHub Copilot agent mode to create an application Leverage documentation files to instruct GitHub Copilot agent mode Understand how GitHub Copilot agent mode iterates over a code base to: Fix errors Refactor code Develop new features Add Prerequisites A GitHub account and a fundamental understanding of GitHub Copilot Include any concepts or skills that help learners succeed Get started with Azure Choose the Azure account that's right for you. Pay as you go or try Azure free for up to 30 days.
11 October 2026 · Apply modern development practices (10–15%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Set up AI solutions in Foundry: Configure model and agent deployments' in a new scenario, then check your reasoning against the official source. Source context: Read in English Build multi-agent solutions using connected agents in Copilot Studio Module 8 Units Feedback Intermediate App Maker Microsoft Copilot Studio Learn to build multi-agent solutions in Copilot Studio by connecting your orchestrator to existing agents built on Microsoft's agentic platform. Configure connections to Copilot Studio agents, Microsoft Foundry agents, and Microsoft Fabric Data agents, and manage your connected agent ecosystem for accurate orchestration. Learning objectives After completing this module, you'll be able to: Connect an agent to an existing published Copilot Studio agent.
11 October 2026 · Plan and manage an Azure AI solution (25–30%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Understand data security implications of Copilot: Understand responsible AI principles' in a new scenario, then check your reasoning against the official source. Source context: Read in English Understand data security posture management in Microsoft Purview Module 8 Units Feedback Intermediate Administrator Risk Practitioner Microsoft 365 Microsoft Purview Data security posture management (DSPM) helps organizations understand where sensitive data is exposed and how risk is distributed across the environment. Data security posture is evaluated over time to reflect changing conditions. Objectives organize risk into outcomes, and DSPM helps guide decisions before controls are configured or investigations are launched.
11 October 2026 · Understand data protection and governance tasks for Microsoft 365 and Copilot (35–40%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Create, configure, and manage Microsoft Entra identities: Create, configure, and manage users' in a new scenario, then check your reasoning against the official source. Source context: Read in English Configure Microsoft Entra ID for device and policy management Module 8 Units Feedback Intermediate Administrator Microsoft 365 Windows Microsoft Intune Configure Microsoft Entra ID to support Intune-based endpoint management by managing users, groups, roles, and device registration settings for efficient policy targeting and security enforcement. Learning objectives By the end of this module, you'll be able to: Explain how Microsoft Entra ID provides the identity infrastructure for Intune device management Create and manage user accounts and groups in Microsoft Entra ID Assign appropriate administrative roles for device management tasks Configure device registration settings to control how devices join Microsoft Entra ID Create dynamic membership groups using rules based on user or device attributes Add Prerequisites Basic understanding of Microsoft 365 administration concepts Familiarity with Microsoft Intune fundamentals Access to a Microsoft 365 test tenant (recommended for hands-on practice) Introduction min Understand the role of Microsoft Entra ID in endpoint management min Create and manage users and groups in Microsoft Entra ID min Assign Microsoft Entra ID roles for device management min Configure Microsoft Entra ID device registration settings min Use dynamic group membership and filters in Microsoft Entra ID min Knowledge check min Summary min Take the module assessment Module Assessment Results Assess your understanding of this module. Sign in and answer all questions correctly to earn a pass designation on your profile.
11 October 2026 · Implement and manage user identities (20–25%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Ingest data into the Microsoft Sentinel SIEM and platform: Configure collection of Windows Security events by using Windows Security Events via AMA, including data collection rules' in a new scenario, then check your reasoning against the official source. Source context: Read in English Configure SIEM security operations using Microsoft Sentinel Module 7 Units Feedback Intermediate Security Operations Analyst Azure Microsoft Sentinel Azure Log Analytics Microsoft Defender In this module, you learned how to configure SIEM security operations using Microsoft Sentinel. Learning objectives Upon completion of this module, the learner is able to: Create and configure a Microsoft Sentinel workspace Deploy Microsoft Sentinel Content Hub solutions and data connectors Configure Microsoft Sentinel Data Collection rules, NRT Analytic rule, and Automation Perform a simulated attack to validate Analytic and Automation rules Run a simulation exercise to connect a Microsoft Sentinel workspace to the Microsoft Defender portal Add Prerequisites An Azure subscription Basic experience with Azure services Basic knowledge of operational concepts, such as monitoring, logging, and alerting Basic experience with Microsoft Defender Familiarity with security operations concepts, such as incident response and threat detection Get started with Azure Choose the Azure account that's right for you. Pay as you go or try Azure free for up to 30 days.
11 October 2026 · Manage a security operations environment (40–45%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Describe common elements of large-scale analytics: Describe options for analytical data stores' in a new scenario, then check your reasoning against the official source. Source context: Read in English Describe concepts of relational data Module 6 Units Feedback Beginner Administrator Business User Data Engineer Azure Explore the relational model for databases, how tables are structured, how you can use indexes to improve query performance, and how you can use views to simplify complex queries. Learning objectives In this module, you will: Explore the characteristics of relational data. Define tables, indexes, and views.
11 October 2026 · Describe an analytics workload (25–30%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Automate deal closing by using the Sales Close Agent: Interpret the actions of the Sales Close Agent' in a new scenario, then check your reasoning against the official source. Source context: Read in English Close deals using AI agents in Dynamics 365 Sales Module 7 Units Feedback Intermediate Functional Consultant Dynamics 365 Sales Your sellers shouldn't spend their days chasing down deal status, manually following up on unanswered quotes, or guessing which opportunities are about to go cold. In this module, you'll configure two AI agents in Dynamics 365 Sales that do that work for them — the Sales Opportunity Agent, which continuously monitors your pipeline for risk and surfaces the deals that need attention, and the Sales Close Agent, which autonomously reaches out to customers to keep deals moving toward closure. By the end, your sales team has AI working in the background so sellers can focus on the conversations that actually close deals.
11 October 2026 · Develop deals by using intelligent opportunity research (25–30%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Design responsible AI, security, governance, risk management, and compliance: Design security for agents' in a new scenario, then check your reasoning against the official source. Source context: Read in English Design responsible AI security, governance, risk management, and compliance Module 11 Units Feedback Advanced Solution Architect Microsoft 365 Copilot Microsoft 365 Copilot Chat Microsoft Power Platform Microsoft Copilot Studio Dynamics 365 Learn to design secure, governed, and compliant AI systems that align with organizational policies and Responsible AI principles. Learning objectives After completing this module, you will be able to: Design AI systems that balance innovation with accountability. Apply identity, access control, and data governance to secure AI agents.
11 October 2026 · Deploy AI-powered business solutions (40–45%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Design and implement multimodal understanding workflows: Configure single‑task and pro‑mode Content Understanding pipelines' in a new scenario, then check your reasoning against the official source. Source context: Read in English Create a multimodal analysis solution with Azure Content Understanding Module 7 Units Feedback Beginner AI Engineer Developer Foundry Tools Microsoft Foundry Use Azure Content Understanding for multimodal content analysis and information extraction. Learning objectives After completing this module, you will be able to: Describe capabilities of Azure Content Understanding. Use Azure Content Understanding to build a content analyzer.
11 October 2026 · Implement computer vision solutions (10–15%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Manage API access and integrations: Understand rate limits for PATs and GitHub Apps' in a new scenario, then check your reasoning against the official source. Source context: Read in English Understand Microsoft 365 identity and access management Module 8 Units Feedback Beginner Auditor Privacy Manager Risk Practitioner Microsoft 365 Learn how Microsoft 365 implements the principle of Zero Standing Access (ZSA) to protect production environments and customer data using Just-In-Time (JIT) and Just-Enough-Access (JEA). Learning objectives Upon completion of this module, you should be able to: List two different types of accounts managed by Microsoft. Name the tools and technologies used to control access within Microsoft 365 environments.
11 October 2026 · Implement secure software development and compliance (25–30%)tip ·
Focus on this objective today: Add tools to agents: Configure and monitor computer use for an agent. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Take action in external systems using connector and REST API agent tools in Microsoft Copilot Studio Module 7 Units Feedback Intermediate App Maker Functional Consultant Microsoft Power Platform Microsoft Copilot Studio Configure Power Platform connectors and REST APIs as tools for your Copilot Studio agents. Learn to add prebuilt and custom connectors, upload OpenAPI specifications to create REST API tools, and configure authentication to integrate your agent with external services. Note Microsoft Copilot Studio has introduced a new experience with updated features, capabilities, and navigation.
10 October 2026 · Integrate and extend agents in Copilot Studio (40–45%)tip ·
Focus on this objective today: Use GitHub Copilot features and capabilities: Utilize Spaces, Spark, Pull Request summaries, and customizable review standards via instructions files. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Leveling up code reviews and pull requests with GitHub Copilot Module 8 Units Feedback Intermediate DevOps Engineer Administrator Developer Solution Architect GitHub This module introduces how GitHub Copilot enhances code reviews by accelerating review cycles, catching issues, and enforcing best practices. Learning objectives By the end of this module, you'll be able to: Explain how GitHub Copilot streamlines code reviews and pull requests. Identify the key features Copilot adds to the review process.
10 October 2026 · Use GitHub Copilot features (25–30%)tip ·
Focus on this objective today: Develop features by using GitHub Copilot tools: Create a new feature by using GitHub Copilot Inline Chat. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Develop code features using GitHub Copilot tools Module 8 Units Feedback Intermediate Developer GitHub This module explores using GitHub Copilot and GitHub Copilot Chat suggestions to create new code. Autocompletion and code update suggestions are generated, managed, and implemented using GitHub Copilot in Visual Studio Code. Learning objectives By the end of this module, you're able to: Generate autocompletion suggestions based on code and code comments using the GitHub Copilot extension for Visual Studio Code. Manage autocompletion suggestions by accepting, partially accepting, and dismissing suggestions.
10 October 2026 · Develop features by using GitHub Copilot toolstip ·
Focus on this objective today: Use notebooks for custom model training: Use the terminal to configure a compute instance. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Configure Azure Container Instances Module 8 Units Feedback Intermediate Administrator Azure Container Instances Learn how to configure Azure Container Instances including container groups. Learning objectives In this module, you learn how to: Identify when to use containers versus virtual machines. Identify the features and usage cases of Azure Container Instances.
10 October 2026 · Explore data, and run experiments (20–25%)tip ·
Focus on this objective today: Manage conversations in Copilot: Delete a chat. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Manage collaboration experiences for chat and channels Module 9 Units Feedback Intermediate Administrator Microsoft 365 Microsoft Teams Learn about different controls for collaboration experiences in Microsoft Teams, including managing channel types, private channel creation, messaging policies, and channel moderation. Learning objectives By the end of this module, you will be able to: Manage the creation of private channels Control the email integration of teams Organize the file sharing functions from the Teams client Create and modify messaging policies Understand how to set up channel moderation in teams Add Prerequisites A proficient understanding of basic functional experience with Microsoft 365 services. A proficient understanding of general IT practices, including using PowerShell.
10 October 2026 · Manage prompts and conversations by using AI (35–40%)tip ·
Focus on this objective today: Describe the business value of Microsoft Power Platform services: Describe the value of Copilot Studio to create agents. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Describe the business value of extending business solutions by using Microsoft Power Platform Module 7 Units Feedback Beginner Business Owner Business User App Maker Student Microsoft Power Platform This module covers the native integration of Power Platform with Microsoft 365 services and how it connects to on-premises environments. It covers Copilot Studio and the Plan Designer. Learning objectives In this module, you learn: How to integrate Microsoft Power Platform with Microsoft 365 and Teams.
10 October 2026 · Describe the business value of Microsoft Power Platform (5–10%)tip ·
Focus on this objective today: Create and configure Azure App Service: Configure deployment slots for an App Service. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Configure Azure App Service Module 13 Units Feedback Intermediate Administrator Azure App Service Learn how to configure and monitor Azure App Service instances, including deployment slots. Learning objectives In this module, you learn how to: Identify features and usage cases for Azure App Service. Create an app with Azure App Service.
10 October 2026 · Deploy and manage Azure compute resources (20–25%)tip ·
Focus on this objective today: Design data integration: Recommend a solution for data analysis. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Design a data storage solution for non-relational data Module 10 Units Feedback Advanced Solution Architect Azure Blob Storage Azure Disk Storage Azure Storage Azure Storage Accounts Azure Architect's design and recommend nonrelational data storage solutions. Learning objectives In this module, you learn how to: Design for data storage. Design for Azure storage accounts.
10 October 2026 · Design data storage solutions (20–25%)tip ·
Focus on this objective today: Describe insider risk, eDiscovery, and audit capabilities in Microsoft Purview: Describe audit solutions in Microsoft Purview. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Describe the data governance solutions of Microsoft Purview Module 6 Units Feedback Beginner Business User Student Microsoft Purview Learn about Microsoft Purview data governance solutions, including Data Map and Unified Catalog, that help ensure data quality, security, and compliance while also accelerating value creation. Learning objectives By the end of this module, you'll be able to: Describe the concepts and benefits of data governance. Describe what Microsoft Purview Data Map does and why it matters.
10 October 2026 · Describe the capabilities of Microsoft compliance solutions (20–25%)tip ·
Focus on this objective today: Design and implement a data model: Implement role-playing dimensions. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Design and implement data modeling with Azure Databricks Module 14 Units Feedback Intermediate Data Engineer Azure Databricks Effective data modeling forms the foundation of a performant and maintainable data platform. This module explores how to design ingestion logic, select appropriate tools and table formats, implement partitioning schemes, manage slowly changing dimensions, choose appropriate data granularity, and optimize table performance through clustering strategies in Azure Databricks with Unity Catalog. Learning objectives By the end of this module, you'll be able to: Design data ingestion logic and configure data source connections Select the appropriate data ingestion tool for your scenario Choose between Delta Lake, Apache Iceberg, and other table formats Design and implement effective data partitioning schemes Select and implement slowly changing dimension types Design and implement temporal tables for change tracking and auditing Choose appropriate data granularity for fact and dimension tables Design and implement clustering strategies for query optimization Evaluate when to use managed versus external tables Add Prerequisites The following prerequisites should be completed: Basic understanding of Azure Databricks workspaces and Unity Catalog Familiarity with SQL and data warehouse concepts Knowledge of Delta Lake fundamentals Introduction min Design ingestion logic and data source configuration min Choose a data ingestion tool min Choose a data table format min Design and implement a data partitioning scheme min Choose a slowly changing dimension (SCD) type min Implement a slowly changing dimension (SCD) type 2 min Design and implement a temporal (history) table to record changes over time min Choose granularity on a column or table based on requirements min Choose managed vs unmanaged tables min Design and implement a clustering strategy min Exercise - Design and Implement Data Modeling with Azure Databricks min Knowledge check min Summary min Take the module assessment Module Assessment Results Assess your understanding of this module.
10 October 2026 · Model the data (25–30%)tip ·
Focus on this objective today: Implement AI solutions with computer vision and image-generation capabilities by using Foundry: Interpret visual input in prompts by using a deployed multimodal model. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Introduction to using Managed Identity to authenticate to Azure OpenAI in Microsoft Foundry Models with .NET Module 6 Units Feedback Beginner Developer Azure Learn how to use managed identity to authenticate .NET applications to Azure OpenAI in Microsoft Foundry Models Learning objectives After completing this module, you'll be able to: Describe the different RBAC roles for use in Azure OpenAI in Microsoft Foundry Models and understand how to configure role assignments Understand the differences between using API keys and managed identities within Azure OpenAI in Microsoft Foundry Models Understand how to configure keyless authentication to Azure OpenAI in Microsoft Foundry Models for local development for .NET applications Understand how to configure keyless authentication to Azure OpenAI in Microsoft Foundry Models for Azure-hosted environments for .NET applications Add Prerequisites To get the best learning experience from this module, you should have knowledge and experience of: .NET programming Azure OpenAI Azure RBAC roles Azure Managed Identity Get started with Azure Choose the Azure account that's right for you. Pay as you go or try Azure free for up to 30 days. Sign up.
10 October 2026 · Implement AI solutions by using Microsoft Foundry (55–60%)tip ·
Focus on this objective today: Create and publish a sensitivity label: Publish a sensitivity label. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Create and configure sensitivity labels with Microsoft Purview Module 8 Units Feedback Intermediate Administrator Microsoft Purview Microsoft 365 Office 365 Microsoft Purview sensitivity labels enable you to classify and protect sensitive data throughout your organization, including in the cloud and on devices. This module covers how to classify and protect sensitive information to ensure its security and compliance. Learning objectives Upon completion of this module, you should be able to: Understand the basics of Microsoft Purview sensitivity labels in Microsoft 365.
10 October 2026 · Create and publish a sensitivity labeltip ·
Focus on this objective today: Manage runners at scale: Manage runner groups and troubleshoot runner issues. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Manage application volume groups for SAP HANA in Azure NetApp Files Module 10 Units Feedback Intermediate Administrator Solution Architect Azure NetApp Files Manage application volume groups for SAP HANA in Azure NetApp Files by deploying SAP HANA hosts, adding volumes to multiple-host systems, configuring replication, and managing volumes. Learning objectives By completing this module, you're able to: Deploy the first application volume group for SAP HANA Add volumes for an SAP HANA system using application volume groups Configure HANA System Replication for high availability Use cross-region replication for SAP HANA disaster recovery Manage volumes in an application volume group for SAP HANA Add Prerequisites Manage volume capacity and performance for Azure NetApp Files Introduction min Deploy the first application volume group for SAP HANA min Add an application volume group to a multiple-host SAP HANA system min HANA System Replication min Cross-region replication for SAP HANA disaster recovery min Set up options for replicating SAP HANA databases min Configure application volume groups using REST API min Exercise - Manage application volume groups for SAP HANA in Azure NetApp Files min Module assessment min Summary min Take the module assessment Module Assessment Results Assess your understanding of this module. Sign in and answer all questions correctly to earn a pass designation on your profile.
10 October 2026 · Manage GitHub Actions for the enterprise (20–25%)tip ·
Focus on this objective today: Transform data: Filter data. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Filtering data: The WHERE clause and subqueries Module 5 Units Feedback Beginner Database Administrator Developer Azure Database for PostgreSQL This module introduces the WHERE clause and subqueries in SQL. You learn how to filter data, combine conditions and use functions like EXTRACT, NOW() and CAST. Learning objectives By the end of this module, you'll be able to: Filter data using the WHERE clause Combine conditions and use functions like EXTRACT, NOW(), and CAST Use subqueries to feed one query into another Apply subqueries in SELECT, FROM, WHERE, and UPDATE statements Add Prerequisites Before starting this module, you should have a basic understanding of SQL SELECT statement.
10 October 2026 · Prepare data (45–50%)tip ·
Focus on this objective today: Identify benefits and capabilities of generative AI solutions: Understand techniques of prompt engineering. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Introduction to prompt engineering with GitHub Copilot Module 7 Units Feedback Beginner Developer DevOps Engineer Student GitHub Discover the essentials of creating effective prompts with GitHub Copilot. Uncover techniques to transform your coding comments into precise, actionable code, enhancing your development workflow and accelerating code delivery through advanced prompting strategies. Learning objectives By the end of this module, you're able to: Craft effective prompts that optimize GitHub Copilot's performance, ensuring precision and relevance in every code suggestion while accelerating development cycles.
10 October 2026 · Identify the business value of generative AI solutions (35–40%)tip ·
Focus on this objective today: Identify Power Automate components: Describe use cases for cloud flow templates. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Combine Power Automate desktop and cloud flows Module 5 Units Feedback Beginner App Maker Developer Functional Consultant Power Automate Microsoft Power Platform This module describes how to combine a Power Automate desktop flow with a Power Automate cloud flow. It demonstrates how to call an existing Power Automate desktop flow from a cloud flow to enhance its functionality and save time when designing large, complex flows. Learning objectives This module explains how to: Create a cloud flow in Power Automate that calls a Power Automate desktop flow.
10 October 2026 · Demonstrate the capabilities of Power Automate (15–20%)tip ·
Focus on this objective today: Describe monitoring tools in Azure: Describe Azure Monitor, including Log Analytics, Azure Monitor alerts, and Application Insights. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Describe monitoring tools in Azure Module 6 Units Feedback Beginner Administrator Developer DevOps Engineer Solution Architect Azure This module covers tools that you can use to monitor your Azure environment. Learning objectives By the end of this module, you'll be able to: Describe the purpose of Azure Advisor. Describe Azure Service Health.
10 October 2026 · Describe Azure management and governance (30–35%)tip ·
Focus on this objective today: Project Tracking and organization: Describe how project insights can be used to track progress and productivity. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Guided project - Create and manage segments with Dynamics 365 Customer Insights - Data Module 8 Units Feedback Intermediate Data Analyst Functional Consultant Customer Insights - Data Dynamics 365 In this module, practice building segments in Dynamics 365 Customer Insights - Data, including creating segments from profiles, creating segments with multiple rules, generating segment insights, and managing segments. Learning objectives In this module, you'll demonstrate your ability to: Create a segment using customer profiles in Dynamics 365 Customer Insights - Data Generate insights on a segment Manage segments Add Prerequisites You should be familiar with the basic features of Dynamics 365 Customer Insights - Data and basic data modeling principles. Introduction min Prepare for the guided project min Exercise - Create unified customer profiles min Exercise - Create measures min Exercise - Create segments min Exercise - Generate segment insights min Module assessment min Summary min Take the module assessment Module Assessment Results Assess your understanding of this module.
10 October 2026 · Manage projects with GitHub (5–10%)tip ·
Focus on this objective today: Implement responsible AI across generative AI and agentic systems: Govern agent behavior with oversight modes, constraints, and tool-access controls. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Implement generative AI agents with Azure Database for PostgreSQL Module 9 Units Feedback Intermediate Developer Data Engineer Solution Architect Azure Azure Database for PostgreSQL This module explores how to implement generative AI agents using Azure Database for PostgreSQL. You'll learn about agent architectures, information retrieval techniques, and how to integrate AI agents with Azure services like Azure AI Foundry Agent Service and Model Context Protocol (MCP). The module includes hands-on exercises to build and test an AI agent solution.
10 October 2026 · Plan and manage an Azure AI solution (25–30%)tip ·
Focus on this objective today: Identify data protection and governance risks for Microsoft 365 and Copilot: Search for files and emails by using Content search in Microsoft Purview eDiscovery. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Search for content with Microsoft Purview eDiscovery Module 8 Units Feedback Intermediate Administrator Auditor Information Protection and Compliance Administrator Microsoft 365 Microsoft Purview Use Microsoft Purview eDiscovery to search for content across Microsoft 365. This module covers how to configure cases, define search criteria, and locate messages, files, and other organizational data. Learning objectives In this module you learn how to: Assign the roles and permissions to access Microsoft Purview eDiscovery Create and manage cases used to run eDiscovery searches Define search scope and build queries using conditions, keywords, and Copilot-generated prompts Run searches and validate results using statistics or random samples Add Prerequisites Familiarity with Microsoft 365 workloads such as Exchange, SharePoint, and Teams Basic understanding of Microsoft Purview portal Knowledge of access control in Microsoft 365 Introduction min Understand eDiscovery and content search capabilities min Prerequisites for using eDiscovery in Microsoft Purview min Create an eDiscovery search min Conduct an eDiscovery search min Export eDiscovery search results min Module assessment min Summary and resources min Take the module assessment Module Assessment Results Assess your understanding of this module.
10 October 2026 · Understand data protection and governance tasks for Microsoft 365 and Copilot (35–40%)tip ·
Focus on this objective today: Implement and manage identities for external users and tenants: Configure external identity providers, including protocols such as SAML and WS-Fed. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Implement and manage external identities Module 16 Units Feedback Advanced Administrator Identity and Access Administrator Security Engineer Azure Microsoft Entra Microsoft Entra Verified ID Microsoft Entra External ID Inviting external users to use company Azure resources is a great benefit, but you want to do it in a secure way. Explore how to enable secure external collaboration. Learning objectives By the end of this module, you're able to: Manage external collaboration settings in Microsoft Entra ID Invite external users (individually or in bulk) Manage external user accounts in Microsoft Entra ID Configure identity providers (social and SAML/WS-fed) Add Prerequisites None Get started with Azure Choose the Azure account that's right for you.
10 October 2026 · Implement and manage user identities (20–25%)tip ·
Focus on this objective today: Ingest data into the Microsoft Sentinel SIEM and platform: Configure collection of Windows Security events by using Windows Security Events via AMA, including data collection rules. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Configure SIEM security operations using Microsoft Sentinel Module 7 Units Feedback Intermediate Security Operations Analyst Azure Microsoft Sentinel Azure Log Analytics Microsoft Defender In this module, you learned how to configure SIEM security operations using Microsoft Sentinel. Learning objectives Upon completion of this module, the learner is able to: Create and configure a Microsoft Sentinel workspace Deploy Microsoft Sentinel Content Hub solutions and data connectors Configure Microsoft Sentinel Data Collection rules, NRT Analytic rule, and Automation Perform a simulated attack to validate Analytic and Automation rules Run a simulation exercise to connect a Microsoft Sentinel workspace to the Microsoft Defender portal Add Prerequisites An Azure subscription Basic experience with Azure services Basic knowledge of operational concepts, such as monitoring, logging, and alerting Basic experience with Microsoft Defender Familiarity with security operations concepts, such as incident response and threat detection Get started with Azure Choose the Azure account that's right for you. Pay as you go or try Azure free for up to 30 days.
10 October 2026 · Manage a security operations environment (40–45%)tip ·
Focus on this objective today: Identify options for data storage: Describe features of common data stores including databases. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Assess SQL Server databases for migration to Azure SQL Module 8 Units Feedback Intermediate Administrator Data Engineer Database Administrator Developer Solution Architect Azure SQL Database Azure Virtual Machines SQL Server Assessment tools such as SQL Server enabled by Azure Arc, Azure Migrate, and Azure Database Migration Service facilitate the migration of SQL Server databases to Azure. Learning objectives In this module, you'll: Understand common compatibility issues and blockers that may prevent a migration to Azure SQL. Discover the various tools and options available for assessing SQL Server databases for migration purposes.
10 October 2026 · Describe core data concepts (25–30%)tip ·
Focus on this objective today: Configure supporting apps and services: Configure an SMS channel. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Configure DLP policies for Microsoft Defender for Cloud Apps and Power Platform Module 6 Units Feedback Intermediate Auditor Information Protection and Compliance Administrator Risk Practitioner Microsoft Purview Microsoft 365 Learn how to configure and implement data loss prevention policies for Power Platform connectors and non-Microsoft cloud apps through Microsoft Defender for Cloud Apps. Learning objectives After completing this module, you're able to: Configure DLP policies in Power Platform to control connector communication. Integrate DLP with Microsoft Defender for Cloud Apps for non-Microsoft cloud apps.
10 October 2026 · Extend and enhance Sales (10–15%)tip ·
Focus on this objective today: Design overall AI strategy for business solutions: Provide prompt engineering guidelines and techniques for AI-powered business solutions. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Design overall AI strategy for business solutions Module 19 Units Feedback Advanced Solution Architect Microsoft 365 Copilot Microsoft 365 Copilot Chat Microsoft Power Platform Microsoft Copilot Studio Dynamics 365 Learn to design an enterprise AI strategy using Azure's Cloud Adoption Framework, aligning AI agent lifecycle with business goals for operational excellence. Learning objectives After completing this module, you'll be able to: Map CAF's AI adoption phases to the AI agent lifecycle. Design an enterprise-ready operating model for AI agents.
10 October 2026 · Plan AI-powered business solutions (25–30%)tip ·
Focus on this objective today: Build retrieval and grounding pipelines: Ingest and index content, such as documents, images, audio, and video. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Analyze images with Content Understanding Module 6 Units Feedback Intermediate AI Engineer Microsoft Foundry Learn how to analyze images with Azure Content Understanding. Learning objectives After completing this module, you'll be able to: Deploy a content-understanding AI model in Microsoft Foundry. Test an image-based prompt in the chat playground.
10 October 2026 · Implement information extraction solutions (10–15%)tip ·
Focus on this objective today: Monitor enterprise usage and activity: Distinguish admin responsibilities vs. GitHub Support and generate diagnostics. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English GitHub administration for enterprise support and adoption Module 7 Units Feedback Intermediate DevOps Engineer Developer Solution Architect GitHub In this module, you learn about some fundamental features and best practices that can improve the administrative operations of your GitHub Enterprise. Learning objectives By the end of this module, you're able to: Set up authentication with Security Assertion Markup Language (SAML) single sign-on and a connection between Enterprise Server and Enterprise Cloud with GitHub Connect. Automate security and version updates for your project's dependencies, as well as administrative duties and user interactions with GitHub.
10 October 2026 · Monitor and optimize GitHub usage (10–15%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Monitor identity activity by using logs, workbooks, and reports: Configure diagnostic settings, including configuring destinations such as Log Analytics workspaces, storage accounts, and Azure Event Hubs' in a new scenario, then check your reasoning against the official source. Source context: Read in English Guided Project – Deploy and configure Azure Monitor Module 8 Units Feedback Intermediate Administrator Azure Azure Log Analytics Understand how to configure monitoring of various workloads and infrastructure services using Azure Monitor. Learning objectives Deploy and configure Log Analytics. Configure monitoring for Web apps.
09 October 2026 · Plan and automate identity governance (20–25%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Optimize opportunity management: Coordinate opportunity management with the Sales Close Agent' in a new scenario, then check your reasoning against the official source. Source context: Read in English Close deals using AI agents in Dynamics 365 Sales Module 7 Units Feedback Intermediate Functional Consultant Dynamics 365 Sales Your sellers shouldn't spend their days chasing down deal status, manually following up on unanswered quotes, or guessing which opportunities are about to go cold. In this module, you'll configure two AI agents in Dynamics 365 Sales that do that work for them — the Sales Opportunity Agent, which continuously monitors your pipeline for risk and surfaces the deals that need attention, and the Sales Close Agent, which autonomously reaches out to customers to keep deals moving toward closure. By the end, your sales team has AI working in the background so sellers can focus on the conversations that actually close deals.
09 October 2026 · Develop deals by using intelligent opportunity research (25–30%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Use automated machine learning to explore optimal models: Select and understand training options, including preprocessing and algorithms' in a new scenario, then check your reasoning against the official source. Source context: Read in English Understand the Transformer architecture and explore large language models in Azure Machine Learning Module 8 Units Feedback Intermediate Data Scientist Azure Machine Learning Learn about the history of natural language processing (NLP), including how the Transformer architecture revolutionized the field and helped us create large language models (LLMs). Work with LLMs in Azure Machine Learning through the foundation models in the model catalog. Learning objectives By the end of this module, you'll be able to: Understand the developments that have led to large language models.
09 October 2026 · Explore data, and run experiments (20–25%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Configure topics: Configure adaptive cards' in a new scenario, then check your reasoning against the official source. Source context: Read in English Deliver rich agent responses using Adaptive Cards in Microsoft Copilot Studio Module 7 Units Feedback Intermediate App Maker Microsoft Copilot Studio Learn to configure rich agent responses in Microsoft Copilot Studio using message formatting and Adaptive Cards—covering informational and interactive card patterns, the built-in designer and JSON authoring, and channel-specific rendering considerations. Note Microsoft Copilot Studio has introduced a new experience with updated features, capabilities, and navigation. This module is based on the classic experience .
09 October 2026 · Plan and configure agent solutions (30–35%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Support testing and security: Generate unit and integration tests' in a new scenario, then check your reasoning against the official source. Source context: Read in English Develop unit tests using GitHub Copilot tools Module 8 Units Feedback Intermediate Developer GitHub This module explores using GitHub Copilot and GitHub Copilot Chat to create unit tests. Exercises provide practical experience creating unit test projects and running unit tests in Visual Studio Code. Learning objectives By the end of this module, you're able to: Create unit tests using GitHub Copilot in Visual Studio Code. Create unit tests that target edge cases and specific conditions using GitHub Copilot in Visual Studio Code.
09 October 2026 · Improve developer productivity with GitHub Copilot (10–15%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Develop unit tests by using GitHub Copilot tools: Generate test data by using GitHub Copilot Supporting module (s): Develop unit tests using GitHub Copilot tools' in a new scenario, then check your reasoning against the official source. Source context: Read in English Develop unit tests using GitHub Copilot tools Module 8 Units Feedback Intermediate Developer GitHub This module explores using GitHub Copilot and GitHub Copilot Chat to create unit tests. Exercises provide practical experience creating unit test projects and running unit tests in Visual Studio Code. Learning objectives By the end of this module, you're able to: Create unit tests using GitHub Copilot in Visual Studio Code. Create unit tests that target edge cases and specific conditions using GitHub Copilot in Visual Studio Code.
09 October 2026 · Develop unit tests by using GitHub Copilot toolsexam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Create and manage Microsoft 365 Copilot agents: Configure an agent that has knowledge' in a new scenario, then check your reasoning against the official source. Source context: Read in English Configure GitHub Copilot instructions and create custom agents Module 8 Units Feedback Intermediate Developer GitHub Visual Studio Code This module covers how to configure and customize GitHub Copilot in Visual Studio Code using instruction files, prompt files, custom agents, and agent handoffs to create tailored AI-assisted development workflows. Learning objectives After completing this module, you're able to: Customize GitHub Copilot's responses using instruction files and prompt files to enforce project-specific coding styles, best practices, and guidelines. Create custom GitHub Copilot agents in Visual Studio Code with tailored instructions, tool permissions, and subagent configurations.
09 October 2026 · Manage prompts and conversations by using AI (35–40%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Describe Microsoft Dataverse: Describe differences between traditional databases and Dataverse' in a new scenario, then check your reasoning against the official source. Source context: Read in English Describe Microsoft Dataverse Module 9 Units Feedback Beginner Business Owner Business User App Maker Student Microsoft Dataverse Microsoft Power Platform Microsoft Dataverse is the intelligent data foundation behind Power Platform—and increasingly, the engine powering AI agents and Copilot experiences. In this module, learn how Dataverse works, how to structure and govern your data, and how to build AI-ready solutions without writing a line of database code. Learning objectives In this module, you learn how to: Explain the core capabilities and business value of Microsoft Dataverse as a data platform for Power Platform solutions.
09 October 2026 · Manage the Microsoft Power Platform environment (20–25%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Create and configure Azure App Service: Create an App Service' in a new scenario, then check your reasoning against the official source. Source context: Read in English Create a voice calling web app with Azure Communication Services Module 6 Units Feedback Beginner Developer Student Azure Communication Services Azure In this module, you create a basic web app that can be used for voice calling with Azure Communication Services. Learning objectives By the end of this module, you'll be able to: Create and configure an Azure Communication Services resource. Set up a basic voice calling web application.
09 October 2026 · Deploy and manage Azure compute resources (20–25%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Design migrations: Evaluate on-premises servers, data, and applications for migration' in a new scenario, then check your reasoning against the official source. Source context: Read in English Create a data migration strategy for Dynamics 365 solutions Module 6 Units Feedback Advanced Solution Architect Functional Consultant Dynamics 365 Sales Customer Insights - Journeys Customer Service Field Service Finance Supply Chain Management Project Operations Commerce Human Resources The overall goal of the Success by Design framework is to ensure a successful customer outcome for each implementation. The Data migration strategy workshop is designed to help ensure that the approach to data migration is heading for success. Learning objectives In this module, you will: Learn about the best practices of data migration.
09 October 2026 · Design infrastructure solutions (30–35%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Describe core infrastructure security services in Azure: Describe Azure Key Vault' in a new scenario, then check your reasoning against the official source. Source context: Read in English Describe core infrastructure security services in Azure Module 10 Units Feedback Beginner Business User Student Azure Azure Bastion Azure DDoS Protection Azure Firewall Azure Web Application Firewall Learn about capabilities Azure supports to protect your network, VMs, and your data. Learning objectives After completing this module, you'll be able to: Learn how Azure security capabilities can protect the network. Learn how Azure can protect your VMs.
09 October 2026 · Describe the capabilities of Microsoft security solutions (35–40%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Create and manage workspaces and assets: Create and configure a workspace' in a new scenario, then check your reasoning against the official source. Source context: Read in English Create and manage Microsoft Sentinel workspaces Module 9 Units Feedback Intermediate Security Operations Analyst Microsoft Defender Microsoft Sentinel Azure Log Analytics Learn about the architecture of Microsoft Sentinel workspaces to ensure you configure your system to meet your organization's security operations requirements. Learning objectives Upon completion of this module, the learner will be able to: Describe Microsoft Sentinel workspace architecture Onboard a Microsoft Sentinel workspace to Microsoft Defender Manage a Microsoft Sentinel workspace in Microsoft Defender Add Prerequisites Basic experience with Microsoft Defender and Azure services Introduction min Plan for the Microsoft Sentinel workspace min Create a Microsoft Sentinel workspace min Manage workspaces across tenants using Azure Lighthouse min Understand Microsoft Sentinel permissions and roles min Manage Microsoft Sentinel settings min Configure logs min Module assessment min Summary and resources min Take the module assessment Module Assessment Results Assess your understanding of this module. Sign in and answer all questions correctly to earn a pass designation on your profile.
09 October 2026 · Manage and secure Power BI (15–20%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Describe principles of responsible AI: Describe considerations for inclusiveness in an AI solution' in a new scenario, then check your reasoning against the official source. Source context: Read in English Describe Microsoft’s Service Trust portal and privacy principles Module 5 Units Feedback Beginner Business User Student Microsoft Priva Microsoft runs on trust. Here you explore the Service Trust Portal for content on how Microsoft delivers on our commitment of trust. You also learn about Microsoft's Privacy principles.
09 October 2026 · Identify AI concepts and capabilities (40–45%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Create a data loss prevention (DLP) policy: Configure a policy mode Supporting module (s): Prevent data loss in Microsoft Purview' in a new scenario, then check your reasoning against the official source. Source context: Read in English Implement information protection and data loss prevention with Microsoft Purview Module 6 Units Feedback Intermediate Administrator Auditor Microsoft 365 Microsoft Purview This module guides you through implementing data security with Microsoft Purview to enhance data protection and comply with data loss prevention standards within your organization. Learning objectives In this module you learn how to: Create sensitive information types. Implement sensitivity labels.
09 October 2026 · Create a data loss prevention (DLP) policyexam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Design and implement workflow structure: Use strategy and matrix to generate job variations (OS, language/runtime versions); apply include/exclude; control fail-fast and max-parallel; optimize matrix size for cost and performance; account for runner image changes (Ubuntu 20.04 deprecation, Windows Server 2025 migration for windows-latest)' in a new scenario, then check your reasoning against the official source. Source context: Read in English Implement Windows Server failover clustering Module 9 Units Feedback Intermediate Administrator Security Engineer Solution Architect Windows Server Learn about the core functionality of Windows Server failover clustering, various configuration options for failover clustering, and the use of cluster sets. Learning objectives After completing this module, you'll be able to: Describe Windows Server failover clustering. Implement Windows Server failover clustering.
09 October 2026 · Author and manage workflows (20–25%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Get data: Implement OneLake integration for Eventhouse and semantic models' in a new scenario, then check your reasoning against the official source. Source context: Read in English Design semantic models for scale in Microsoft Fabric Module 8 Units Feedback Intermediate Data Analyst Data Engineer Microsoft Fabric Power BI Design semantic models for scale in Microsoft Fabric. Choose the right storage mode, design star schema relationships for clarity and performance, create scalable calculation patterns, and configure settings that support large datasets and concurrent consumption. Learning objectives By the end of this module, you'll be able to: Choose a storage mode based on data freshness, performance, and source location.
09 October 2026 · Prepare data (45–50%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Identify benefits and capabilities of generative AI solutions: Understand techniques of prompt engineering' in a new scenario, then check your reasoning against the official source. Source context: Read in English Introduction to prompt engineering with GitHub Copilot Module 7 Units Feedback Beginner Developer DevOps Engineer Student GitHub Discover the essentials of creating effective prompts with GitHub Copilot. Uncover techniques to transform your coding comments into precise, actionable code, enhancing your development workflow and accelerating code delivery through advanced prompting strategies. Learning objectives By the end of this module, you're able to: Craft effective prompts that optimize GitHub Copilot's performance, ensuring precision and relevance in every code suggestion while accelerating development cycles.
09 October 2026 · Identify the business value of generative AI solutions (35–40%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Build a Power Automate flow: Create a cloud flow by using an instant, automated, or scheduled trigger' in a new scenario, then check your reasoning against the official source. Source context: Read in English Build flows for a real estate solution using Copilot in Power Automate Module 5 Units Feedback Beginner App Maker Power Automate Microsoft Copilot This module covers how to create flows by using Copilot in Power Automate. Learn how to refine your flow by using Copilot and how to use the format through example AI capabilities. Copilot in Power Automate helps you automate tedious tasks and save time.
09 October 2026 · Demonstrate the capabilities of Power Automate (15–20%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Describe the core architectural components of Azure: Describe management groups' in a new scenario, then check your reasoning against the official source. Source context: Read in English Describe the core architectural components of Azure Module 7 Units Feedback Beginner Administrator Developer DevOps Engineer Solution Architect Azure This module explains the basic infrastructure components of Microsoft Azure. You'll learn about the physical infrastructure and how resources are managed. Learning objectives Upon completion of this module, you'll be able to: Describe Azure regions, region pairs, and sovereign regions Describe Availability Zones Describe Azure datacenters Describe Azure resources and Resource Groups Describe subscriptions Describe management groups Describe the hierarchy of resource groups, subscriptions, and management groups Add Prerequisites Basic familiarity with IT terms and concepts Get started with Azure Choose the Azure account that's right for you.
09 October 2026 · Describe Azure architecture and services (35–40%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Collaboration tools: Explain how to link pull requests to issues and manage templates, filters, and assignments' in a new scenario, then check your reasoning against the official source. Source context: Read in English Manage repository changes by using pull requests on GitHub Module 5 Units Feedback Beginner DevOps Engineer Administrator Developer Solution Architect GitHub Azure Learn how to manage changes to your repository source by using pull requests. Learning objectives In this module, you will: Review branches and their importance to pull requests. Define what a pull request is.
09 October 2026 · Collaborate using GitHub (10–15%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Set up AI solutions in Foundry: Choose appropriate deployment options' in a new scenario, then check your reasoning against the official source. Source context: Read in English Choose a deployment scenario for HoloLens device management Module 9 Units Feedback Beginner Technology Manager HoloLens Explore and evaluate common deployment scenarios for HoloLens 2 device management. Learning objectives By the end of this module, you'll be able to: Understand the common deployment scenarios for HoloLens 2 devices. Assess your organization's specific needs and requirements for deploying HoloLens devices.
09 October 2026 · Plan and manage an Azure AI solution (25–30%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Identify the core objects of Microsoft 365 services: Identify the appropriate objects to configure by using the SharePoint in Microsoft 365 admin center (sites, libraries, and folders)' in a new scenario, then check your reasoning against the official source. Source context: Read in English Identify AI data risks using Microsoft Purview Data Security Posture Management Module 6 Units Feedback Intermediate Security Engineer Microsoft Purview Azure Use Microsoft Purview Data Security Posture Management for AI to discover how sensitive data flows through AI tools, identify overexposed SharePoint content, and review interaction risks generated by Copilot and AI applications. Learning objectives After completing this module, you can: Configure Microsoft Purview Data Security Posture Management (DSPM) for AI Assess SharePoint data overexposure risks that affect AI grounding data Identify sensitive data risks in Copilot and AI application interactions Interpret DSPM for AI dashboards and prioritize remediation actions Add Prerequisites Familiarity with Microsoft Purview portal navigation Basic understanding of data security and posture management concepts Awareness of Microsoft 365 Copilot and AI application data access patterns Get started with Azure Choose the Azure account that's right for you. Pay as you go or try Azure free for up to 30 days.
09 October 2026 · Identify the core features and objects of Microsoft 365 services (30–35%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Respond to alerts and incidents in Microsoft Defender XDR: Manage security incidents by using case management' in a new scenario, then check your reasoning against the official source. Source context: Read in English Remediate security alerts using Microsoft Defender for Cloud Module 8 Units Feedback Intermediate Security Operations Analyst Azure Microsoft Defender for Cloud Learn how to remediate security alerts in Microsoft Defender for Cloud. Learning objectives Upon completion of this module, the learner will be able to: Describe alerts in Microsoft Defender for Cloud Remediate alerts in Microsoft Defender for Cloud Automate responses in Microsoft Defender for Cloud Add Prerequisites Basic familiarity with Azure services, specifically Azure SQL Database and Azure Storage. Familiarity with Azure virtual machines and virtual networking.
09 October 2026 · Respond to security incidents (35–40%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Describe relational concepts: Identify common structured query language (SQL) statements' in a new scenario, then check your reasoning against the official source. Source context: Read in English Write your first query with Kusto Query Language Module 11 Units Feedback Beginner Data Scientist Data Analyst Business Analyst Security Operations Analyst Azure Data Explorer Azure Get started by writing simple queries in Kusto Query Language (KQL) to explore and gain insights from your data. Learn how to use the operators take , project , where , count , sort , and others. Learning objectives By the end of this module, you'll be able to: Write your first query with KQL.
09 October 2026 · Identify considerations for relational data on Azure (20–25%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Design the ALM process for AI-powered business solutions: Design the ALM process for Microsoft Foundry agents' in a new scenario, then check your reasoning against the official source. Source context: Read in English Design ALM process for AI-powered business solutions Module 9 Units Feedback Intermediate Database Administrator Developer Administrator Solution Architect Technology Manager Microsoft 365 Copilot Microsoft 365 Microsoft 365 Copilot Chat Microsoft Power Platform Microsoft Copilot Studio Learn to design ALM processes for AI solutions, ensuring governance, security, and consistency across environments. Learning objectives After completing this module, you will be able to: Design ALM processes for AI components like datasets, prompts, and models. Establish governance, security, and monitoring across environments.
09 October 2026 · Deploy AI-powered business solutions (40–45%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Build generative applications by using Foundry: Configure an application to connect to a Foundry project' in a new scenario, then check your reasoning against the official source. Source context: Read in English Challenge project - Build applications and automation solutions Module 8 Units Feedback Intermediate Functional Consultant Power Apps Power Automate Microsoft Power Platform Configure your own Microsoft Power Platform model-driven app, canvas app, and Power Automate cloud flow to support a scenario for a fictional company. You're provided with high-level specifications to complete this project. Note This is a Challenge Project module where you complete an end-to-end project using high-level guidance; there are no step-by-step instructions.
09 October 2026 · Implement generative AI and agentic solutions (30–35%)exam trap ·
Do not treat this objective as a recognition exercise. Practise explaining and applying 'Manage encrypted secrets: Integrate third-party vaults' in a new scenario, then check your reasoning against the official source. Source context: Read in English Integrate procurement between Dynamics 365 Supply Chain Management and Dynamics 365 Field Service Module 9 Units Feedback Intermediate Functional Consultant Administrator Business User Dynamics 365 Supply Chain Management Field Service The procurement functionality in Dynamics 365 Supply Chain Management and Dynamics 365 Field Service can be integrated through dual-write, and the resulting cross-functional use cases are enabled through table mappings, solution logic, views, and forms. Learning objectives In this module, you will: Recognize the necessary prerequisites to integrate Supply Chain Management with Field Service. Work with the required installation guidelines.
09 October 2026 · Manage GitHub Actions (20–25%)tip ·
Focus on this objective today: Configure topics: Manage variables. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Configure Microsoft Defender Vulnerability Management settings for Azure VMs Module 7 Units Feedback Intermediate Security Engineer Microsoft Defender for Cloud Azure Configure Microsoft Defender Vulnerability Management for Azure VMs by selecting the appropriate scanning method for your Defender for Servers plan tier, enabling vulnerability assessment at subscription and machine scope, and reviewing findings in the Microsoft Defender portal. Apply Defender for Servers Plan 2 premium capabilities—security baselines assessment and vulnerable application blocking—to enforce ongoing compliance and reduce exploitation risk. Learning objectives After completing this module, you'll be able to: Explore how Microsoft Defender Vulnerability Management integrates with Defender for Servers Plan 1 and Plan 2 to provide agent-based and agentless vulnerability scanning for Azure VMs Configure vulnerability scanning for Azure VMs at subscription and machine scope using Defender for Cloud Environment Settings Review vulnerability findings, interpret CVE and severity data, and create disable rules to manage accepted risks in the Defender portal Apply Defender for Servers Plan 2 premium capabilities—security baselines assessment and application blocking—to enforce VM security posture Add Prerequisites Familiarity with Microsoft Defender for Cloud at a basic level Understanding of Defender for Servers Plan 1 and Plan 2 tiers Knowledge of Azure resource types and Azure role-based access control (RBAC) Familiarity with security recommendations in the Microsoft Defender for Cloud portal Get started with Azure Choose the Azure account that's right for you.
08 October 2026 · Plan and configure agent solutions (30–35%)tip ·
Focus on this objective today: Understand lifecycle and limitations: Visualize code suggestion lifecycle. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Implement application lifecycle management in finance and operations apps Module 7 Units Feedback Advanced Developer Functional Consultant Solution Architect Administrator Dynamics 365 Finance Supply Chain Management Project Operations Human Resources Application Lifecycle Management (ALM) is the management of computer programs, which includes managing requirements, software architecture, software development, software maintenance, change management, continuous integration, project management, and released management. Learn about ALM to plan, create, test, and implement code for finance and operations apps. Learning objectives In this module, you will: Define ALM.
08 October 2026 · Understand GitHub Copilot data and architecture (10–15%)tip ·
Focus on this objective today: Develop features by using GitHub Copilot tools: Populate data structures by using GitHub Copilot. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Develop code features using GitHub Copilot tools Module 8 Units Feedback Intermediate Developer GitHub This module explores using GitHub Copilot and GitHub Copilot Chat suggestions to create new code. Autocompletion and code update suggestions are generated, managed, and implemented using GitHub Copilot in Visual Studio Code. Learning objectives By the end of this module, you're able to: Generate autocompletion suggestions based on code and code comments using the GitHub Copilot extension for Visual Studio Code. Manage autocompletion suggestions by accepting, partially accepting, and dismissing suggestions.
08 October 2026 · Develop features by using GitHub Copilot toolstip ·
Focus on this objective today: Understand generative AI capabilities across Microsoft 365 experiences: Understand how Copilot works to keep your organization’s information private and secure. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Understand How to Secure AI Data with Microsoft Purview Module 10 Units Feedback Intermediate Auditor Administrator Risk Practitioner Microsoft Purview Microsoft 365 Microsoft Purview helps organizations assess how Microsoft 365 Copilot and other AI tools interact with sensitive data. Using Data Security Posture Management (DSPM) for AI, organizations can evaluate exposure risks, understand which AI tools are in use, and identify how sensitive data is accessed during AI interactions. Audit provides visibility into specific Copilot prompts and responses for compliance and investigation scenarios.
08 October 2026 · Understand generative AI fundamentals (25–30%)tip ·
Focus on this objective today: Describe the business value of Microsoft Power Platform services: Describe the value of Copilot Studio to create agents. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Describe the business value of extending business solutions by using Microsoft Power Platform Module 7 Units Feedback Beginner Business Owner Business User App Maker Student Microsoft Power Platform This module covers the native integration of Power Platform with Microsoft 365 services and how it connects to on-premises environments. It covers Copilot Studio and the Plan Designer. Learning objectives In this module, you learn: How to integrate Microsoft Power Platform with Microsoft 365 and Teams.
08 October 2026 · Describe the business value of Microsoft Power Platform (5–10%)tip ·
Focus on this objective today: Configure and manage storage accounts: Configure object replication. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Configure replication and manage failovers in Azure Cosmos DB Module 10 Units Feedback Intermediate Developer Azure Cosmos DB Replicate data across the globe and manage automatic or manual failovers in Azure Cosmos DB. Learning objectives After completing this module, you'll be able to: Distribute data across global data centers Configure automatic failover and perform a manual failover Configure the Azure Cosmos DB for NoSQL .NET SDK to use a specific region Add Prerequisites Before starting this module, you should have experience of building cloud applications with Microsoft C# or a similar programming language. Introduction min Understand replication min Distribute data across regions min Evaluate the cost of distributing data globally min Define automatic failover policies min Perform manual failovers min Configure SDK region min Exercise: Connect different regions with the Azure Cosmos DB for NoSQL SDK min Knowledge check min Summary min Take the module assessment Module Assessment Results Assess your understanding of this module.
08 October 2026 · Implement and manage storage (15–20%)tip ·
Focus on this objective today: Design data storage solutions for semi-structured and unstructured data: Recommend a solution for storing unstructured data. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Design a data storage solution for non-relational data Module 10 Units Feedback Advanced Solution Architect Azure Blob Storage Azure Disk Storage Azure Storage Azure Storage Accounts Azure Architect's design and recommend nonrelational data storage solutions. Learning objectives In this module, you learn how to: Design for data storage. Design for Azure storage accounts.
08 October 2026 · Design data storage solutions (20–25%)tip ·
Focus on this objective today: Describe threat protection with Microsoft Defender XDR: Describe Microsoft Defender Threat Intelligence (Defender TI). Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Describe threat protection with Microsoft Defender XDR Module 13 Units Feedback Beginner Business User Student Microsoft Defender for Cloud Apps Microsoft Defender for Identity Microsoft Defender for Office 365 Microsoft Defender for Endpoint Microsoft Defender Microsoft Defender for Threat Intelligence Protect against cyber threats with Microsoft Defender XDR across endpoints, identities, email, and applications. Learning objectives After completing this module, you'll be able to: Describe the services of the Microsoft Defender XDR suite. Describe how the services of Microsoft Defender XDR provide integrated protection against sophisticated attacks.
08 October 2026 · Describe the capabilities of Microsoft security solutions (35–40%)tip ·
Focus on this objective today: Optimize model performance: Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Optimize semantic model performance Module 9 Units Feedback Advanced Data Analyst Microsoft Fabric Power BI Diagnose and fix semantic model and report performance issues. Use Performance analyzer to identify bottlenecks, optimize DAX calculations, reduce cardinality, and implement aggregations to improve query speed. Learning objectives By the end of this module, you're able to: Use Performance analyzer to identify performance bottlenecks Optimize DAX calculations for better query performance Reduce cardinality levels to improve model efficiency Implement aggregations to accelerate queries on large datasets Apply a systematic approach to troubleshoot common performance issues Add Prerequisites Semantic model design experience and DAX authoring skills Introduction min Use Performance analyzer to diagnose issues min Optimize DAX calculations min Reduce cardinality for better performance min Implement aggregations min Troubleshoot common performance issues min Exercise: Diagnose and fix a slow report min Knowledge check min Summary min Take the module assessment Module Assessment Results Assess your understanding of this module.
08 October 2026 · Prepare the data (25–30%)tip ·
Focus on this objective today: Implement AI solutions with computer vision and image-generation capabilities by using Foundry: Build a lightweight application that includes vision capabilities. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Challenge project - Add image analysis and generation capabilities to your application Module 10 Units Feedback Beginner Developer AI Engineer Startup Founder Student Higher Education Educator Visual Studio Code Azure Static Web Apps Foundry Tools Azure OpenAI Service Demonstrate your ability to develop a smart web application that integrates computer vision capabilities, leveraging Azure AI Vision and Azure OpenAI cognitive services. Note This is a Challenge Project module where you complete an end-to-end project using high-level guidance; there are no step-by-step instructions. Learning objectives In this module, you'll demonstrate your ability to: Integrate the newest Image Analysis 4.0 capabilities - powered by Microsoft Florence large foundation model - into your application.
08 October 2026 · Implement AI solutions by using Microsoft Foundry (55–60%)tip ·
Focus on this objective today: Create a custom sensitive information type: Customize a built-in sensitive information type. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Create and manage sensitive information types Module 10 Units Feedback Intermediate Auditor Information Protection and Compliance Administrator Risk Practitioner Microsoft 365 Learn how to use sensitive information types to support your information protection strategy. Learning objectives After completing this module, you'll be able to: Recognize the difference between built-in and custom sensitive information types. Configure sensitive information types with exact data match-based classification.
08 October 2026 · Create a custom sensitive information typetip ·
Focus on this objective today: Configure workflow triggers and events: Configure workflows to run for scheduled, manual, webhook, and repository events. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Configure a project and repository structure to support secure pipelines Module 6 Units Feedback Intermediate Administrator Developer DevOps Engineer Security Engineer Security Operations Analyst Solution Architect Student Support Engineer Azure Azure Artifacts Azure Cloud Services Azure DevOps Azure Pipelines Azure Repos This module is designed to help learners understand the importance of configuring a secure project and repository structure to support pipelines in Azure DevOps. The module covers fundamental concepts and best practices for organizing the project and repository structure and moving the security repository away from the application project. Learning objectives In this module, you practice how to: Separate a project into team projects and repositories.
08 October 2026 · Author and manage workflows (20–25%)tip ·
Focus on this objective today: Get data: Choose between different data stores. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Choose data stores in Microsoft Fabric Module 8 Units Feedback Intermediate Data Engineer Data Analyst Microsoft Fabric Evaluate lakehouse, warehouse, and eventhouse options to select the appropriate analytical data store for business scenarios in Microsoft Fabric. Learning objectives By the end of this module, you're able to: Describe analytical data store options in Microsoft Fabric. Evaluate lakehouse, warehouse, and eventhouse capabilities.
08 October 2026 · Prepare data (45–50%)tip ·
Focus on this objective today: Identify benefits and capabilities of generative AI solutions: Describe the lifecycle of a machine learning solution. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Design a machine learning operations solution Module 6 Units Feedback Beginner Data Scientist Azure Machine Learning Learn about machine learning operations or MLOps to bring a model from development to production. Identify options for monitoring and retraining when preparing a model for production. Learning objectives In this module, you will: Explore an MLOps architecture.
08 October 2026 · Identify the business value of generative AI solutions (35–40%)tip ·
Focus on this objective today: Build a canvas app: Build responsive pages by using containers. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Build a canvas app Module 13 Units Feedback Beginner Business Owner Business User App Maker Student Power Apps This module covers how to build and modify a canvas app in Power Apps by using the assistance of Copilot. Learning objectives In this module, you learn how to: Choose and connect data sources for Power Apps canvas apps Create canvas apps using Excel data Describe and use controls Build responsive layouts with containers Build and edit Apps with Copilot Integrate and customize Copilot controls Automate business processes with Agent builder Preview, test, and publish a canvas app Manage and share canvas apps Add Prerequisites None Introduction min Connect to data sources by using connectors min Create an app from data min Describe common controls min Build responsive pages using containers min Create and modify an app through conversation min Exercise - Create a canvas app min Describe the capabilities of Copilot controls min Describe use cases for Agent Builder min Preview, test, and publish an app min Share a canvas app min Module assessment min Summary and resources min Take the module assessment Module Assessment Results Assess your understanding of this module. Sign in and answer all questions correctly to earn a pass designation on your profile. Start.
08 October 2026 · Demonstrate the capabilities of Power Apps (25–30%)tip ·
Focus on this objective today: Describe Azure identity, access, and security: Describe authentication methods in Azure, including single sign-on (SSO), multifactor authentication (MFA), and passwordless. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Describe Azure identity, access, and security Module 12 Units Feedback Beginner Administrator Developer DevOps Engineer Solution Architect Azure This module covers some of the authorization and authentication methods available with Azure. Learning objectives By the end of this module, you will be able to: Describe directory services in Azure, including Microsoft Entra ID and Microsoft Entra Domain Services Describe authentication methods in Azure, including single sign-on (SSO), multifactor authentication (MFA), and passwordless Describe external identities and guest access in Azure Describe Microsoft Entra Conditional Access Describe Azure Role Based Access Control (RBAC) Describe the concept of Zero Trust Describe the purpose of the defense in depth model Describe encryption concepts and key management options in Azure Describe the purpose of Microsoft Defender for Cloud Add Prerequisites Basic familiarity with IT terms and concepts Get started with Azure Choose the Azure account that's right for you. Pay as you go or try Azure free for up to 30 days.
08 October 2026 · Describe Azure architecture and services (35–40%)tip ·
Focus on this objective today: Automation and AI tools: Explain when to use the github.dev editor and how it differs from Codespaces. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Code with GitHub Codespaces Module 7 Units Feedback Beginner Administrator Developer Solution Architect DevOps Engineer GitHub GitHub Codespaces is a fully configured development environment hosted in the cloud. By using GitHub Codespaces, your workspace, along with all of your configured development environments, is available from any computer with access to the internet. Learning objectives By the end of this module, you're able to: Describe GitHub Codespaces.
08 October 2026 · Apply modern development practices (10–15%)tip ·
Focus on this objective today: Apply language model text analysis: Build solutions that translate text by using Azure Translator in Foundry Tools or LLM‑powered translation flows. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Analyze text with Azure Language in Foundry Tools Module 8 Units Feedback Intermediate AI Engineer Developer Microsoft Foundry Azure Language in Foundry Tools enables you to create intelligent apps and services that extract semantic information from text. Learning objectives In this module, you'll learn how to use Azure Language in Foundry Tools to: Detect language from text. Recognize named entities in text.
08 October 2026 · Implement text analysis solutions (10–15%)tip ·
Focus on this objective today: Perform basic administrative tasks for agents: Create an agent. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Perform basic administrative tasks for Microsoft 365 Copilot agents Module 10 Units Feedback Beginner Administrator Business User Developer Student Microsoft 365 Office 365 This module guides administrators through configuring user access and permissions for agents, creating, editing, testing, and publishing Copilot agents, managing agent approval and governance, and monitoring the full lifecycle of agents using Microsoft 365 and Power Platform tools. Learning objectives By the end of this module, you should be able to: Create a Microsoft 365 Copilot Chat agent. Create a SharePoint agent.
08 October 2026 · Perform basic administrative tasks for Copilot and agents (25–30%)