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  • Exam Code: DP-201日本語
  • Exam Name: Designing an Azure Data Solution (DP-201日本語版)
  • Updated: Sep 11, 2026
  • Q & A: 207 Questions and Answers
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  • Exam Code: DP-201日本語
  • Exam Name: Designing an Azure Data Solution (DP-201日本語版)
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  • Exam Code: DP-201日本語
  • Exam Name: Designing an Azure Data Solution (DP-201日本語版)
  • Updated: Sep 11, 2026
  • Q & A: 207 Questions and Answers
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The content of the Microsoft DP-201 exam revolves around three main topics that comprise of specific knowledge and skills that the candidates should develop before sitting for the test. The details of these areas are outlined below:

Topic 1. Designing Azure Data Storage Solutions (40-45%)

  • Designing non-relational Cloud data stores: here the applicants should demonstrate that they are capable of designing data partitions and distribution; designing for scale (latency, throughput, and multi-region); designing a solution that utilizes Data Lake Storage Gen2, Blob storage, or Cosmos DB; selecting the proper Cosmos DB API; designing a strategy for disaster recovery; designing for high availability.
  • Designing relational Cloud data stores: this subtopic focuses on such abilities as designing data partitions and distribution; designing for scale (comprising latency & throughput); designing a solution that utilizes Azure Synapse Analytics; designing a strategy for disaster recovery; designing for high availability.
  • Suggesting an Azure data storage solution in compliance with given requirements: this requires one’s skills in choosing the proper data storage solution in order to satisfy the technical & business requirements; choosing the type of partition distribution.

Domains of the DP-201 Certification Exam:

Design data processing solutions (25-30%) Design Azure data storage solutions (40-45%) Design for data security and compliance (25-30%)

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DP-201日本語 exam dumps

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Reference: https://www.microsoft.com/en-us/learning/exam-dp-201.aspx

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Microsoft DP-201日本語 Exam Syllabus Topics:

SectionObjectives
Topic 1: Design Monitoring and Optimization- Optimize data solutions
  • 1. Performance tuning and scaling
    • 2. Cost optimization strategies
      - Monitor data solutions
      • 1. Performance monitoring strategies
        • 2. Azure Monitor and Log Analytics
          Topic 2: Design Data Storage Solutions- Design data storage structures in Azure
          • 1. Design relational vs non-relational storage
            • 2. Select storage account types and tiers
              • 3. Data partitioning and partition strategies
                - Design data integration and data movement
                • 1. Batch vs streaming ingestion
                  • 2. Azure Data Factory pipelines
                    Topic 3: Design Data Processing Solutions- Design real-time processing solutions
                    • 1. Stream Analytics processing design
                      • 2. Event Hubs streaming ingestion
                        - Design batch processing solutions
                        • 1. Azure Synapse Analytics processing
                          • 2. Azure Databricks workloads
                            Topic 4: Design Security and Compliance- Design data security
                            • 1. Encryption at rest and in transit
                              • 2. Identity and access control (RBAC)
                                - Design data governance
                                • 1. Data classification and lineage
                                  • 2. Azure Purview concepts

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