Prepare with Microsoft DP-900 exam torrent, pass for sure

Updated: Oct 12, 2026

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

Microsoft DP-900 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure Data Fundamentals
Exam Number:DP-900
Exam Format:Multiple select, Drag and drop, Case-based questions, Multiple choice
Real Exam Qty:40-60
Exam Price:99 USD (varies by country/region)
Related Certifications:Microsoft Certified: Azure Database Administrator Associate
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure AI Engineer Associate
Available Languages:Chinese (Simplified), German, English, French, Italian, Korean, Spanish, Japanese, Portuguese (Brazil)
Certificate Validity Period:Does not expire (Fundamentals certification currently does not require renewal)
Exam Duration:45-60
Passing Score:700 (out of 1000)
Recommended Training:Microsoft Learn DP-900 Learning Path
Azure Data Fundamentals Course
Exam Registration:Pearson VUE Registration Portal
Microsoft Learn Certification Page
Sample Questions:Microsoft DP-900 Sample Questions
Exam Way:Online proctored exam via Pearson VUE or in-person test center
Pre Condition:No prerequisites required; intended for beginners in data concepts and Azure services.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/azure-data-fundamentals/

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.

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.

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 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.

  • 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 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 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.

Microsoft DP-900 Exam Syllabus Topics:

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

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