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

  • Exam Code: DP-203日本語
  • Exam Name: Data Engineering on Microsoft Azure (DP-203日本語版)
  • Updated: Sep 04, 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 Data Platform (DP) is an exam for IT professionals who are responsible for designing and implementing data processing solutions that integrate with Microsoft platforms, applications, and services. Candidates prepare for this exam by taking the Microsoft Official Curriculum (MOC) course for the Azure Data Engineering on Microsoft Azure certification. The DP-203 exam tests your ability to design and implement data processing solutions on Azure in a cloud environment. You need to understand how to design and create data services with Azure Data Factory; how to create, manage and deploy data models using the Azure Data Catalog; and how to manage the lifecycle of a data solution using Azure Data Lake Analytics. Microsoft DP-203 Dumps Questions and Answers are prepared by experts and reviewed and approved by Microsoft. The test is based on the latest version of Microsoft Data Platform that includes SQL Server 2016, SQL Database, HDInsight, and Power BI. The questions test both technical skills and business knowledge so you need to have a good understanding of both areas in order to pass the test.

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How to Register For Exam DP-203: Data Engineering on Microsoft Azure?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=DP-203&examname=Exam%20DP-203:%20Data%20Engineering%20on%20Microsoft%20Azure&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fdp-203

Microsoft DP-203日本語 Exam Syllabus Topics:

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

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