Create and manage assets in an Azure Machine Learning workspace: Share assets across workspaces by using registries

Build evidence for this objective

Learn the concept across structured materials, then test it through adaptive questions and applied scenarios. Your results contribute to an objective-level mastery view and your next recommended action.

Official references

• Implement identity-based security for Azure Machine Learning workspaces
• Create Azure Resources by using Azure Resource Manager templates
• Manage machine learning in production with Azure Databricks
• Discover unprotected assets and vulnerabilities by using Microsoft Defender External Attack Surface Management
• Understand the Transformer architecture and explore large language models in Azure Machine Learning
• Configure updates of Azure Arc-enabled servers by using Azure Update Manager
• Train a machine learning model in Azure Databricks
• Introduction to Azure Machine Learning authentication and authorization
• Experiment with Azure Machine Learning
• Manage Azure PaaS tasks using automation