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Microsoft DP-900

DP-900

Exam Code: DP-900

Exam Name: Microsoft Azure Data Fundamentals

Updated: Oct 12, 2026

Q & A: 340 Questions and Answers

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About Microsoft DP-900 Exam

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Workload analytics on Azure

  • Date processing and ingestion on Azure – main topics within this subdomain include data loading common practices, Azure Data Factory components (activities, pipeline, etc.), and data processing.
  • Analytics workloads – under this topic, candidates should learn more about transactional workloads as well as data warehousing workloads. Also, they have to get skilled in differentiating between an analytics and a transactional workload, know the difference between real and batch time, and be able to determining when a data warehouse solution is required.
  • Data visualization in Microsoft Power BI – this topic requires candidates to learn more about paginated reporting, dashboards, interactive reports, as well as workflow in Power BI.
  • Elements of a modern data warehouse – this sub-section is focused on Azure data services related to modern data warehousing. In addition, applicants should be familiar with modern data warehousing workload and architecture.

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DP-900 exam dumps

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

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What Are the Exam Topics?

Core data concepts

This topic majorly addresses the following skills:

  • Main concepts of data analytics – data visualization, business intelligence (BI), analytics techniques (diagnostic, predictive, descriptive, cognitive, prescriptive) and basic chart types such as pie charts and bar charts are the main concepts addressed in this category. Also, data processing techniques are covered along with ETL processing.
  • Various data workloads – this involves an overview of the features of relational data as well as the description, similarities and differences between streaming data and batch data as well as.

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

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The DP-900: Microsoft Azure Data Fundamentals exam is designed for the individuals pursuing the Microsoft Certified: Azure Data Fundamentals certification. This test evaluates their foundational knowledge of core concepts of data and how these are implemented with the use of Microsoft Azure data services. The associated certificate is an ideal choice for those professionals who want to start a career in the IT field with the main focus on working with data in Cloud. The successful candidates with this certification can continue their journey by earning more advanced options such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, it is important to mention that this exam is not a requirement for any of these certificates.

This is a foundational certification exam, so it does not require any prerequisites. However, the potential candidates should have a good knowledge of the concepts of non-relational and relational data as well as different categories of data workloads, including analytical and transactional.

Microsoft DP-900 Exam Syllabus Topics:

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

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