Microsoft Data Engineering on Microsoft Azure (DP-203日本語版) : DP-203日本語

  • Exam Code: DP-203J
  • Exam Name: Data Engineering on Microsoft Azure (DP-203日本語版)
  • Updated: Aug 01, 2026     Q & A: 365 Questions and Answers

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Free Download DP-203日本語 exam dumps pdf

Microsoft DP-203 (Data Engineering on Microsoft Azure) Certification Exam is a certification program that has been designed to validate the skills and knowledge of data engineers who work with data on Azure. Data Engineering on Microsoft Azure (DP-203日本語版) certification exam targets individuals who have experience working with Azure data services, including data storage, processing, and analytics. Through the exam, candidates can demonstrate their expertise in designing, building, and maintaining data processing systems on Azure.

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

Microsoft DP-203 exam is suitable for those who have experience with Microsoft Azure and want to specialize in data engineering. DP-203J exam covers a wide range of topics such as data processing, data storage, data transformation, and data integration. It tests the candidate's ability to design, implement, and monitor data processing solutions on Azure.

Microsoft DP-203日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design and implement data storage25-30%- Design data storage structures
  • 1. Design a data serialization format strategy
    • 2. Recommend appropriate storage accounts and services
      • 3. Design a data partitioning strategy
        - Develop data storage solutions
        • 1. Implement relational data stores (Azure SQL, Synapse)
          • 2. Implement Azure Data Lake Storage solutions
            • 3. Implement Azure Blob Storage solutions
              Topic 2: Monitor and optimize data solutions30-35%- Monitor data processing
              • 1. Troubleshoot data workflows
                • 2. Monitor pipelines using Azure Monitor
                  - Optimize performance
                  • 1. Optimize data storage performance
                    • 2. Optimize query performance in Synapse
                      Topic 3: Develop data processing40-45%- Develop data transformation logic
                      • 1. Use SQL-based transformations
                        • 2. Use Spark in Azure Databricks
                          - Ingest and transform data
                          • 1. Implement stream processing solutions
                            • 2. Use Azure Data Factory for pipelines
                              • 3. Implement batch processing solutions
                                Topic 4: Secure data solutions- Implement data security
                                • 1. Manage access control with Azure RBAC
                                  • 2. Implement encryption at rest and in transit
                                    - Ensure compliance
                                    • 1. Use Microsoft Purview for governance

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