Microsoft Data Engineering on Microsoft Azure (DP-203 Korean Version) : DP-203 Korean

DP-203 Korean real exams

Exam Code: DP-203-KR

Exam Name: Data Engineering on Microsoft Azure (DP-203 Korean Version)

Updated: Aug 27, 2026

Q & A: 365 Questions and Answers

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

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Microsoft DP-203 Korean Exam Syllabus Topics:

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

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