Microsoft Azure Data Fundamentals (DP-900日本語版) : DP-900日本語

  • Exam Code: DP-900日本語
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
  • Updated: Aug 14, 2026
  • Q & A: 332 Questions and Answers

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Explain the Techniques Involved in Working with Relational Data on Microsoft Azure: 25-30%

  • Explain Relational Azure Data Services: The individuals should have the ability to explain and compare SaaS, PaaS, and IaaS solutions as well as Azure Synapse Analytics. They also need the knowledge of Azure SQL database services, Azure Database for PostgreSQL, Azure Database for MySQL, and Azure Database for MariaDB.
  • Explain the Concepts of Relational Data Workloads: The examinees should be able to explain the structures of relational data and identify the appropriate data for relational workloads.
  • Identify the Fundamental Management Tasks for Relational Data: The applicants should be able to explain the deployment and provisioning of relational data services. They also need to understand the techniques for deployment, such as Azure Resource Manager templates, Azure portal, Azure CLI, and Azure PowerShell. In addition, the students should be able to identify the fundamental connectivity issues and components of data security.
  • Explain the Query Methods for Data with the SQL Language: The learners should be capable of comparing the Data Manipulation Language with the Data Definition Language. They should also be able to query relational data within Azure Database for MySQL, Azure SQL Database, and Azure Database for PostgreSQL.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900

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Microsoft DP-900日本語 Exam Syllabus Topics:

SectionWeightObjectives
Core Data Concepts25-30%- Roles and responsibilities in data work
- Types of core data workloads
- Relational vs non-relational data
- Data analytics workloads overview
Relational Data in Azure20-25%- Querying relational data
- Azure relational data services
  • 1. SQL Server on Azure VMs
    • 2. Azure SQL Database
      • 3. Azure SQL Managed Instance
        - Relational data concepts
        Analytics Workloads in Azure25-30%- Data ingestion and processing
        - Azure analytics services
        • 1. Azure Synapse Analytics
          • 2. Azure Data Lake Storage
            • 3. Power BI
              - Data visualization and reporting
              - Data analytics concepts
              Non-Relational Data in Azure15-20%- Data processing options for non-relational data
              - Azure storage services
              • 1. Azure Blob Storage
                • 2. Azure Table Storage
                  • 3. Azure Cosmos DB
                    - Non-relational data concepts

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