DP-203 - Microsoft Certified: Azure Data Engineer Associate Study Guide 2026

Key Competencies (5)

• 1

  Design and Implement Data Integration

  Integrate data from various sources into a unified data storage solution.

• 2

  Implement a Partitioning Strategy

  Design and implement partitioning strategies to optimize data storage and retrieval.

• 3

  Design and Implement Data Distribution

  Distribute data across different storage solutions to optimize performance and cost.

• 4

  Design and Implement Data Archiving and Purging Strategies

  Develop strategies for data retention, archiving, and purging to manage data lifecycle effectively.

• 5

  Design and Implement Data Security

  Ensure data security through appropriate access controls and encryption methods.

Key Competencies (5)

• 1

  Manage Data Processing

  Manage and orchestrate data processing workflows to ensure reliability and efficiency.

• 2

  Ingest and Transform Data

  Ingest data from various sources and transform it to meet business requirements.

• 3

  Implement Batch Processing Solutions

  Develop batch processing solutions to handle large volumes of data efficiently.

• 4

  Implement Real-Time Processing Solutions

  Develop real-time data processing solutions to handle streaming data.

• 5

  Optimize Data Processing

  Optimize data processing solutions to improve performance and reduce costs.

Key Competencies (3)

• 1

  Implement Data Security

  Implement security measures to protect data and ensure compliance with regulations.

• 2

  Monitor Data Storage and Data Processing

  Monitor data storage and processing solutions to ensure optimal performance and identify issues.

• 3

  Optimize and Troubleshoot Data Storage and Data Processing

  Optimize and troubleshoot data storage and processing solutions to improve performance and resolve issues.