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

  • Exam Code: DP-200J
  • Exam Name: Implementing an Azure Data Solution (DP-200日本語版)
  • Updated: Jul 28, 2026
  • Q & A: 242 Questions and Answers

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What is the duration of the DP-200 Exam

  • Number of Questions: 45-60
  • Passing Score: 700/1000
  • Format: Multiple choices, multiple answers
  • Length of Examination: 150 minutes

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

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Exam DP-200: Implementing an Azure Data Solution

Candidates for this exam are Microsoft Azure data engineers who collaborate with business stakeholders to identify and meet the data requirements to implement data solutions that use Azure data services.

Azure data engineers are responsible for data-related implementation tasks that include provisioning data storage services, ingesting streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, and accessing external data sources.

Candidates for this exam must be able to implement data solutions that use the following Azure services: Azure Cosmos DB, Azure Synapse Analytics (formerly Azure SQL DW), Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage.

Part of the requirements for: Microsoft Certified: Azure Data Engineer Associate

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Microsoft DP-200日本語 Exam Syllabus Topics:

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

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