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Last Updated: Aug 16, 2026
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Candidates for this exam are Microsoft Azure data engineers who collaborate with business stakeholders to identify and meet the data requirements to implement data solutions that use Azure data services.
Azure data engineers are responsible for data-related implementation tasks that include provisioning data storage services, ingesting streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, and accessing external data sources.
Candidates for this exam must be able to implement data solutions that use the following Azure services: Azure Cosmos DB, Azure Synapse Analytics (formerly Azure SQL DW), Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage.
Part of the requirements for: Microsoft Certified: Azure Data Engineer Associate
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Reference: https://www.microsoft.com/en-us/learning/exam-dp-200.aspx
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitor and optimize data solutions | 30-35% | - Manage disaster recovery - Optimize performance of data solutions - Troubleshoot data processing issues - Monitor data storage and data processing - Troubleshoot data storage issues |
| Topic 2: Manage and develop data processing | 25-30% | - Transform data with Azure Databricks - Ingest data with Azure Data Factory - Ingest streaming data with Azure Stream Analytics - Orchestrate data processing activities - Implement data processing security |
| Topic 3: Implement data storage solutions | 40-45% | - Implement Azure Cosmos DB - Implement security requirements for data storage - Implement storage accounts - Implement data retention policies - Implement Azure Synapse Analytics |
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