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

  • Exam Code: DP-900J
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
  • Updated: Aug 24, 2026
  • Q&As: 332 Questions and Answers

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DP-900日本語 exam dumps

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How to Register For Exam DP-900: Microsoft Azure Data Fundamentals?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=DP-900&examname=Exam%20DP-900:%20Microsoft%20Azure%20Data%20Fundamentals&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fdp-900

Exam DP-900: Microsoft Azure Data Fundamentals

Candidates for this exam should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services.

This exam is intended for candidates beginning to work with data in the cloud.

Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.

Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it’s not a prerequisite for any of them.

Part of the requirements for: Microsoft Certified: Azure Data Fundamentals

Download exam skills outline

Topics of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

  • Describe how to work with non-relational data on Azure (25-30%)
  • Describe core data concepts (15-20%)
  • Describe an analytics workload on Azure (25-30%)
  • Describe how to work with relational data on Azure (25-30%)

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

Microsoft DP-900日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Core Data Concepts25-30%- Relational vs non-relational data
- Data analytics workloads overview
- Types of core data workloads
- Roles and responsibilities in data work
Topic 2: Relational Data in Azure20-25%- Relational data concepts
- Azure relational data services
  • 1. SQL Server on Azure VMs
    • 2. Azure SQL Database
      • 3. Azure SQL Managed Instance
        - Querying relational data
        Topic 3: Analytics Workloads in Azure25-30%- Data analytics concepts
        - Data visualization and reporting
        - Azure analytics services
        • 1. Power BI
          • 2. Azure Data Lake Storage
            • 3. Azure Synapse Analytics
              - Data ingestion and processing
              Topic 4: Non-Relational Data in Azure15-20%- Azure storage services
              • 1. Azure Blob Storage
                • 2. Azure Table Storage
                  • 3. Azure Cosmos DB
                    - Data processing options for non-relational data
                    - Non-relational data concepts

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