Microsoft Azure Data Fundamentals : DP-900

  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Updated: Jul 25, 2026     Q & A: 320 Questions and Answers

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About Pass4guide Microsoft DP-900 Exam

Introduction to Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Microsoft Azure Data Fundamentals is an exam that identifies individuals who have the knowledge to work with Azure data storage features. Building on previous core principles of data management, Azure Data Fundamentals exam is designed to evaluate the ability of the candidate. Money designed to assess the skills level for both professionals and students. Determine the type of skills required for a particular situation, for example, a cloud administrator or a data analyst. Gen candidate will have to know the fundamentals of Data Management to work with Azure data storage, create tools to manage data, locate, protect and process it. Relevant topics in a data management environment, a certified candidate should understand. Dml, Db, protection tools through recovery, recovery strategies, documentation data management policies, data loss prevention tools to backup and recovery for backup recovery.

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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.

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

Microsoft DP-900 Exam Syllabus Topics:

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

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