Microsoft Azure Data Fundamentals - DP-900

Microsoft DP-900 test insides dumps
  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Updated: Jul 31, 2026
  • Q & A: 320 Questions and Answers
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About Microsoft Azure Data Fundamentals : DP-900 exam dumps

The Microsoft DP-900 test evaluates the ability of the candidates to execute specific technical tasks. The examinees must understand these areas before they take this test. The topics that this certification exam covers are as follows:

Explain the Concepts of Core Data: 15-20%

  • Explain the Core Concepts of Data Analytics: The candidates need to be able to explain data visualization, analytics techniques, data processing concepts, ETL and ELT processing, as well as the basic types of charts, including pie charts and bar charts.
  • Explain Core Data Workloads Types: The test takers should be able to explain batch data, attributes of relational data, streaming data, and the differences between streaming and batch data.
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Certification Paths Available

Upon earning Microsoft Certified: Azure Data Fundamentals, you will be able to advance your career to higher-level certifications. For instance, it can be a starting point for Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, this fundamental accreditation is not a requirement for earning any of the next certificates. Therefore, all you have to do is to pass Microsoft DP-900 exam and prepare to face the real-world challenges as you advance in your career.

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

Microsoft DP-900 Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: Relational Data in Azure20-25%- Querying relational data
- Relational data concepts
- Azure relational data services
  • 1. SQL Server on Azure VMs
    • 2. Azure SQL Database
      • 3. Azure SQL Managed Instance
        Topic 2: Analytics Workloads in Azure25-30%- Data analytics concepts
        - Azure analytics services
        • 1. Power BI
          • 2. Azure Data Lake Storage
            • 3. Azure Synapse Analytics
              - Data visualization and reporting
              - Data ingestion and processing
              Topic 3: Core Data Concepts25-30%- Data analytics workloads overview
              - Relational vs non-relational data
              - Roles and responsibilities in data work
              - Types of core data workloads
              Topic 4: Non-Relational Data in Azure15-20%- Non-relational data concepts
              - Azure storage services
              • 1. Azure Table Storage
                • 2. Azure Blob Storage
                  • 3. Azure Cosmos DB
                    - Data processing options for non-relational data

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