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Microsoft DP-900日本語

DP-900日本語

Exam Code: DP-900J

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

Updated: Aug 12, 2026

Q&A Number: 332 Q&As

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About Microsoft DP-900日本語 Exam Questions and Answers

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

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

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

Helpful Training Course for Acing DP-900

To help students get fully ready for DP-900, Microsoft has created an official 1-day teacher-guided program for students named ‘Course DP-900T00-A: Microsoft Azure Data Fundamentals’. There are 4 modules in this course which will address all the topics needed for the Microsoft DP-900. However, such a class does not have any related lab exercises, meaning students will not get the scope for applying the things they have learnt in theory. In general, this training is perfect for those who want to learn the main concepts and skills needed to provide cloud data services with the help of Microsoft Azure.

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DP-900日本語 Online Test Engine

Online DP-900日本語 Test Engine supports Windows / Mac / Android / iOS, etc., because it is the software based on WEB browser.

How to book the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

  • Step 1: Visit Microsoft Learning and search for DP-900: Microsoft Azure fundamentals.
  • Step 2: Sign up/log in to the Pearson VUE account
  • Step 3: Select a local center based on your country, date, time and confirm with a payment method.

Microsoft DP-900日本語 Exam Syllabus Topics:

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

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