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Real Microsoft DP-900 practice exam questions for easy pass!

Updated: Aug 08, 2026

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How to operate with relational data on Azure

Here, the candidate should be equipped with knowledge and skills in the following sub domains:

  • Identification of basic management roles for relational data – under this sub domain there are several skills covered that include the deployment and provisioning of relational data, various deployment methods such as Azure Resource Manager templates, Azure portal, Azure command-line interface (CLI), etc. Also, one should be knowledgeable in data components identification (authentication and firewall), the identification of basic connectivity problems such as accessing Azure VNets, firewalls, access from the internet and authentication). One more knowledge area involved is query tools (SQL Management Studio, Azure Data Studio, utility, sqlcmd etc.).
  • Data querying techniques that require utilizing SQL language – it deals with the Data Manipulation Language (DML) and Data Definition Language (DDL) as well as querying relational data on Azure SQL DB.
  • Relational data workloads – the candidate has to gain skills in identifying the appropriate data offerings when it comes to relational workload and learn more about structures of relational data.
  • Relational Azure data services – this section of the exam is focused on the following: the understanding of IaaS, SaaS and PaaS solutions and their comparison, Azure SQL DB services such as Azure SQL managed instance and Azure virtual machine, Azure Synapse Analytics, and Azure Database for MariaDB, PostgreSQL and for MySQL.

Microsoft DP-900 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure Data Fundamentals
Exam Number:DP-900
Related Certifications:Microsoft Certified: Azure Database Administrator Associate
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure AI Engineer Associate
Exam Duration:45-60
Exam Price:99 USD (varies by country/region)
Available Languages:English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Italian
Passing Score:700 (out of 1000)
Real Exam Qty:40-60
Exam Format:Multiple choice, Multiple select, Drag and drop, Case-based questions
Certificate Validity Period:Does not expire (Fundamentals certification currently does not require renewal)
Recommended Training:Azure Data Fundamentals Course
Microsoft Learn DP-900 Learning Path
Exam Registration:Microsoft Learn Certification Page
Pearson VUE Registration Portal
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/

How to Prepare For Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Preparation Guide for Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Introduction

If you're looking to enter the IT world but don't have the education required, you may want to consider taking one of the many certification exams offered by respected tech companies. Microsoft offers a range of certifications, including those for developers. The DP-900 exam is one such exam. This article will help you prepare for this exam so that it will be successful and lead to your certification. Microsoft DP-900 exam dumps are one of the most popular resources for DP-900 exam preparation.

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

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