Profile and clean the data: Resolve inconsistencies, unexpected or null values, and data quality issues

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

• Cleanse, transform, and load data into Unity Catalog
• Clean, transform, and load data in Power BI
• Implement and manage data quality constraints with Azure Databricks
• Store and retrieve data using literal and variable values in C#
• Create a unified customer profile in Dynamics 365 Customer Insights - Data
• Filtering data: The WHERE clause and subqueries
• Resolve GitHub issues using GitHub Copilot Agent
• Summarizing data: Aggregate functions and grouping
• Analyze and resolve compliance issues using Microsoft Intune
• Organizing data: Using LIMIT, OFFSET, and ORDER BY clauses