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This exam measures your ability to accomplish the following technical tasks: design and implement data storage; design and develop data processing; design and implement data security; and monitor and optimize data storage and data processing.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-203

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Microsoft DP-203日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design and develop data processing25–30%- Design data processing pipelines
  • 1. Design orchestration and scheduling
    • 2. Design for data integration and transformation
      • 3. Design batch processing solutions
        • 4. Design real-time processing solutions
          - Develop data processing solutions
          • 1. Transform data using Spark, SQL, or other tools
            • 2. Implement incremental processing
              • 3. Manage data flows and dependencies
                • 4. Implement data ingestion
                  Topic 2: Design and implement data security10–15%- Implement authentication and authorization
                  • 1. Manage access to data resources
                    • 2. Configure identity and access management
                      - Protect data at rest and in transit
                      • 1. Manage data privacy and compliance
                        • 2. Implement encryption
                          • 3. Configure data masking and redaction
                            Topic 3: Design and implement data storage40–45%- Implement data storage
                            • 1. Implement data lake storage
                              • 2. Implement relational and non-relational data stores
                                • 3. Manage data lifecycle and retention policies
                                  • 4. Create and configure data storage accounts
                                    - Design data storage structures
                                    • 1. Design partitioning strategies
                                      • 2. Design for data durability and availability
                                        • 3. Design for scalability and performance
                                          • 4. Recommend storage solutions for analytical workloads
                                            Topic 4: Monitor and optimize data storage and data processing10–15%- Optimize performance and cost
                                            • 1. Tune pipelines and workloads
                                              • 2. Improve query and processing efficiency
                                                • 3. Optimize storage and compute resources
                                                  - Monitor data solutions
                                                  • 1. Monitor storage performance and health
                                                    • 2. Log and analyze activity and usage
                                                      • 3. Monitor pipeline execution and errors

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