Microsoft Azure Data Fundamentals : DP-900

DP-900 real exams

Exam Code: DP-900

Exam Name: Microsoft Azure Data Fundamentals

Updated: Aug 05, 2026

Q & A: 320 Questions and Answers

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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

The candidates for the Microsoft DP-900 test will be measured in a variety of technical skill areas. These domains are divided into several topics. It is recommended that the applicants review the exam topics in detail and choose the appropriate study materials to prepare for the test. Below are the highlights of the objectives covered in this certification exam:

  • Explain how Non-Relational Data Works on Azure: 25-30%

    The questions from this section will evaluate the understanding of the candidates in non-relational data workloads as well as non-relational data contributions on Azure. They must be able to explain Azure File storage, Azure Cosmos DB APIs, Azure Blob Storage, and Azure Table storage. They should also be able to identify the foundational management tasks for non-relational data.

  • Explain how Relational Data Works on Azure: 25-30%

    The test takers will be required to have the ability to describe some concepts in this topic, including relational data workloads and relational Azure data services. They will also need to know how to identify the basic management functions for relational data. Additionally, they need to possess a good understanding of how to use the SQL language to describe the query methods for data.

  • Explain the Concepts of Core Data: 15-20%

    Within this subject area, the students should be able to explain different categories of core data workloads that are available. To answer questions from this subtopic, the examinees should be able to explain batch data and streaming data. They should also know the attributes of relational data and core differences between streaming and batch data. It also covers their skills in core concepts of data analytics. This requires an understanding of data visualization, basic chart types, analytics techniques, data processing concepts, as well as ETL & ELT processing.

  • Explain Analytics Workloads on Azure: 25-30%

    This domain of the DP-900 exam measures one’s knowledge of analytics workloads, data processing, and ingestion on Azure, as well as the elements of modern data warehouses. The candidates will also be tested on their understanding of data visualization within Microsoft Power BI. This involves describing the specific role of dashboards, paginated reporting, interactive reports, and workflows in Power BI.

Microsoft DP-900 Exam Syllabus Topics:

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

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