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Microsoft DP-200日本語 : Implementing an Azure Data Solution (DP-200日本語版)

DP-200日本語

Exam Code: DP-200J

Exam Name: Implementing an Azure Data Solution (DP-200日本語版)

Updated: Jul 16, 2026

Q & A: 242 Questions and Answers

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  • Free online learning paths

    There are 8 learning paths in total that you can follow to learn the details of the exam content. Each path has several modules to cover. Thus, you can go for Store Data in Azure, Azure for the Data Engineer, Work with NoSQL Data in Azure Cosmos DB, Work with Relational Data in Azure, Implement a Data Streaming Solution with Azure Streaming Analytics, Large-Scale Data Processing, Implement a Data Warehouse with Azure Synapse Analytics, and Data Engineering with Azure Databricks.

  • Paid instructor-led courses

    As for the courses with an instructor, you can go for the Implementing an Azure Data Solution training. There are the options that include the classroom training and virtual courses. The time for each session is based on the location of the course.

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How to Register For Exam DP-200: Implementing an Azure Data Solution?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=DP-200&examname=Exam%20DP-200:%20Implementing%20an%20Azure%20Data%20Solution&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fdp-200

Reference: https://www.microsoft.com/en-us/learning/exam-dp-200.aspx

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Microsoft DP-200日本語 Exam Syllabus Topics:

SectionObjectives
Develop data processing solutions- Batch processing solutions
  • 1. Databricks/Spark processing concepts
    • 2. Azure Data Factory pipelines
      - Stream processing solutions
      • 1. Event-driven processing (Event Hubs)
        • 2. Azure Stream Analytics
          Design and implement data storage- Design data storage structures
          • 1. Relational data stores (Azure SQL Database, SQL DW concepts)
            • 2. Non-relational data stores (Cosmos DB, Blob Storage)
              - Implement data storage solutions
              • 1. Data security and encryption at rest
                • 2. Data partitioning and partition strategy
                  Secure and optimize data solutions- Implement security and compliance
                  • 1. Identity and access control (Azure AD, RBAC)
                    • 2. Data governance and compliance policies
                      - Monitor and optimize data systems
                      • 1. Performance tuning for data workloads
                        • 2. Monitoring with Azure Monitor and Log Analytics

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