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PL-300 pdf
  • Exam Code: PL-300
  • Exam Name: Microsoft Power BI Data Analyst
  • Updated: Jul 22, 2026
  • Q & A: 515 Questions and Answers
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  • Exam Code: PL-300
  • Exam Name: Microsoft Power BI Data Analyst
  • Updated: Jul 22, 2026
  • Q & A: 515 Questions and Answers
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  • Exam Code: PL-300
  • Exam Name: Microsoft Power BI Data Analyst
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Understanding Microsoft Power BI Data Analyst Certification Exam Topics

Microsoft Power BI Data Analyst Certification Exam Topics are below:

  • Model the data (30-35%)
  • Prepare the data (15-20%)
  • Visualize and analyze the data (25-30%)
  • Deploy and maintain assets (20-25%)

Along with the rapid development of globalization, there are an increasing large number of jobs opportunities (PL-300 certification training: Microsoft Power BI Data Analyst), but the competition among employees has become furious day by day. And enterprises put higher demands for their workers. It is known to all that a Microsoft certificate, a worldwide recognized certification, is not only a tool of showing your career ability but also a stepping stone for senior positions. Obtaining a professional certificate (PL-300 study guide) can be beneficial to you future, higher wages, good benefits, and a dreaming promotion. Right PL-300 exam bootcamp will help you master core knowledge and prepare efficiently. Too much time & money is useless if you do not have right direction for study. If you want to pass exam in short time and obtain a certification, our PL-300 certification training: Microsoft Power BI Data Analyst will be suitable for you.

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Introduction of Microsoft PL-300 Exam

Microsoft offers a wide range of certifications to enhance your knowledge in various areas of IT. The Microsoft Power BI Data Analyst Certification Exam is one of the most popular and sought-after Microsoft certification exams which aims to develop your skills as a data analyst by providing you with an opportunity to learn about basic business intelligence concepts, data analysis techniques and tools that can be used for building data models. Microsoft PL-300 Dumps are the best way to pass your exam.

The Microsoft certification exams enable you to validate your knowledge and skills in the system. If you have a job, it helps you to get promoted. The certification is a must-have for IT professionals. Microsoft Power BI Data Analyst Certification Exam is an exam designed by Microsoft for data analysts who are interested in gaining knowledge of the Microsoft Azure cloud platform and Power BI suite tools. The exam tests your ability to design, develop, and implement analytical solutions using Excel, Power Pivot, Power View and other related tools.

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Skills measured

  • Model the data (30-35%)
  • Prepare the data (15-20%)
  • Download the study guide in the preceding “Tip” box for more details about the skills measured on this exam.
  • Visualize and analyze the data (25-30%)
  • Deploy and maintain assets (20-25%)

Passing Score, Duration & Questions For Microsoft PL-300 Exam

  • The passing score: 700

  • Number of Questions: 40-60 questions

  • Time Duration: 180 minutes

  • Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300

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Microsoft PL-300 Exam Syllabus Topics:

SectionWeightObjectives
Model the Data25-30%- Develop the data model
  • 1. Configure table relationships
  • 2. Create calculated tables and columns
  • 3. Build hierarchies and hierarchical fields
  • 4. Create common date tables
  • 5. Use the calculation group feature
  • 6. Implement row-level security roles
- Design a data model
  • 1. Design a star schema or snowflake schema
  • 2. Resolve performance issues with relationships
  • 3. Apply field metadata and groupings
  • 4. Implement row-level security
  • 5. Determine the appropriate granularity
  • 6. Define tables and table schemas
- Optimize model performance
  • 1. Improve user experience by hiding objects
  • 2. Optimize DirectQuery models
  • 3. Validate performance and resolve issues
  • 4. Configure aggregations
  • 5. Optimize Dax queries
- Create measures and DAX calculations
  • 1. Create semi-additive measures
  • 2. Create calculated measures
  • 3. Use Time Intelligence functions
  • 4. Use CALCULATE and FILTER functions
  • 5. Implement context transition
  • 6. Write and use basic DAX syntax
Manage and Maintain Workspace Items10-15%- Manage datasets
  • 1. Resolve dataset permission issues
  • 2. Manage dataset refresh scheduling
  • 3. Manage gateways and data sources
  • 4. Configure dataset metadata and properties
- Create and manage workspaces
  • 1. Configure content certification
  • 2. Configure workspace membership and roles
  • 3. Endorse sensitive content with sensitivity labels
  • 4. Publish and update a Power BI app
Visualize the Data25-30%- Enrich reports with advanced visuals
  • 1. Configure R and Python visuals
  • 2. Create custom visuals
  • 3. Use dynamic page navigation
  • 4. Integrate Microsoft Copilot for Power BI
- Enhance reports for user experience
  • 1. Apply artistic formatting to visuals
  • 2. Design for mobile and specific layouts
  • 3. Add tooltips and navigation
  • 4. Add accessibility features and compliance
- Build visuals
  • 1. Apply sorting and filtering to visuals
  • 2. Format and configure pages and report backgrounds
  • 3. Determine the appropriate visual type
  • 4. Apply AI insights and enhanced analytics
  • 5. Configure visual interactions and cross-filtering
  • 6. Configure data colors and shapes
Prepare the Data10-15%- Get data from various data sources
  • 1. Select a shared dataset or create a local copy
  • 2. Choose between DirectQuery, Import, and Dual storage modes
  • 3. Use Microsoft Fabric and OneLake
  • 4. Configure dataset refresh
  • 5. Identify and connect to a data source
  • 6. Change data source settings
- Clean, transform, and load the data
  • 1. Design and build intermediate tables
  • 2. Profile the data
  • 3. Apply user-friendly naming conventions to columns and tables
  • 4. Identify the data structure
  • 5. Resolve data quality issues
  • 6. Determine proper data types
  • 7. Configure data loading and queries
Analyze the Data10-15%- Work with metrics in Power BI
  • 1. Track goals with scorecards
  • 2. Create metrics using Microsoft measurements
  • 3. Define and monitor KPIs
  • 4. Use the Decomposition Tree visual
- Perform analysis in Power BI
  • 1. Identify patterns and trends
  • 2. Configure auto-insights
  • 3. Generate Pinn visual insights
  • 4. Apply Quick Insights
  • 5. Use the Q&A visual

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