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Microsoft DP-500 Exam : Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI

DP-500 actual test
  • Exam Code: DP-500
  • Exam Name: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI
  • Updated: Jul 31, 2026
  • Q & A: 164 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $59.99  

About Microsoft DP-500 Exam

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What is the salary of Microsoft DP-500 Certified Professional

The average salary in different countries for Microsoft DP-500 Certified Professional

  • US: 106,000 USD

  • IND: 10,00,000 INR

  • UK: 60,000 Pounds

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Exam DP-500: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI

Candidates for this exam should have advanced Power BI skills, including managing data repositories and data processing in the cloud and on-premises, along with using Power Query and Data Analysis Expressions (DAX). They should also be proficient in consuming data from Azure Synapse Analytics and should have experience querying relational databases, analyzing data by using Transact-SQL (T-SQL), and visualizing data.

Passing score: 700. Learn more about exam scores.

Part of the requirements for: Microsoft Certified: Azure Enterprise Data Analyst Associate

Download exam skills outline

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-500

Introduction of Microsoft DP-500 Exam

Microsoft Data Platform 500 certification is the most popular certification course in the world. It is a professional level certification of Microsoft and covers the entire Microsoft Data Platform, including SQL Server and Azure.

The DP-500 exam is designed for IT professionals who have at least 12 months of experience implementing data solutions or administering databases. The DP-500 exam requires hands-on experience with designing, developing and implementing enterprise scale analytics solutions using Microsoft technologies such as SQL Server Business Intelligence tools (SSIS, SSAS, SSRS). Our Microsoft DP-500 Exam Questions are prepared by experts in their respective fields and they are designed to cover all the key aspects of the exam. We provide you with real exam questions and answers which will help you in getting good marks in your exam. The main aim of DP-500 Dumps is to help candidates pass their exams on first attempt. This course provides an overview of the key concepts of the DP-500 exam and provides detailed explanations of each topic. It is highly recommended that students take this course before taking their first exam attempt.

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Our Microsoft DP-500 Exam Questions are prepared by experts in their respective fields and they are designed to cover all the key aspects of the exam. We provide you with real exam questions and answers which will help you in getting good marks in your exam. The main aim of DP-500 Dumps is to help candidates pass their exams on first attempt.

Certification Topics of Microsoft DP-500 Exam

  • Explore and visualize data (20-25%)

  • Implement and manage data models (25 -30%)

  • Query and transform data (20-25%)

  • Implement and manage a data analytics environment (25-30%)

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Microsoft DP-500 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement and Manage a Data Analytics Environment25-30%- Govern and manage data assets
  • 1. Manage enterprise data governance processes
  • 2. Use Microsoft Purview to catalog and discover data assets
- Manage analytics lifecycle
  • 1. Manage reusable assets
  • 2. Apply source control and ALM strategies
  • 3. Implement deployment pipelines
- Administer analytics environments
  • 1. Configure Power BI tenant settings
  • 2. Manage workspaces and capacities
  • 3. Monitor and audit analytics solutions
Topic 2: Implement and Manage Data Models30-35%- Secure analytical models
  • 1. Implement row-level security
  • 2. Manage access and permissions
- Design scalable semantic models
  • 1. Select appropriate model frameworks
  • 2. Optimize model performance
  • 3. Create star schema models
- Implement advanced modeling techniques
  • 1. Create calculation groups
  • 2. Create model relationships
  • 3. Implement DirectQuery solutions
Topic 3: Query and Transform Data20-25%- Query data sources
  • 1. Use Spark for data exploration
  • 2. Query relational data using T-SQL
  • 3. Analyze data with Azure Synapse Analytics
- Transform and prepare data
  • 1. Optimize Power Query transformations
  • 2. Create and manage dataflows
  • 3. Prepare scalable datasets
Topic 4: Explore and Visualize Data20-25%- Analyze data
  • 1. Perform advanced analytics
  • 2. Use Azure Synapse Analytics for exploration
- Create visualizations and reports
  • 1. Optimize report performance
  • 2. Build enterprise-scale Power BI reports
  • 3. Design effective dashboards

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