Microsoft Power BI Data Analyst : PL-300 Exam Questions

  • Exam Code: PL-300
  • Exam Name: Microsoft Power BI Data Analyst
  • Updated: Jul 25, 2026
  • Q&As: 515 Questions and Answers

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About Microsoft Power BI Data Analyst Exam Braindumps

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

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: prepare the data; model the data; visualize and analyze the data; and deploy and maintain assets.

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Why Microsoft Power BI Data Analyst Certification Exam is so difficult

No matter how many times you take the Microsoft Power BI Data Analyst Certification Exam, you will never be able to finish it. This is because the exam is designed to be as difficult as possible. When you first sit down and begin answering questions, you may feel like there are a lot of easy ones. This is just part of the test's strategy. they want to make sure that you think everything's going smoothly, so that when they throw in a difficult question later on, it will be much harder for you to answer.

The Microsoft certification exams are considered to be the toughest in the industry. This is because of the fact that if you have passed one of these exams, then it means that you have gone through a tough time and have shown that you are capable enough to handle any situation. Microsoft Power BI Data Analyst Certification Exam is designed to give you a hard time. It won't let up until you finally give up entirely and surrender your certification. VCEPrep Microsoft PL-300 Dumps are the only way to pass your exam and get certified in your first attempt.

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

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Microsoft PL-300 Exam Syllabus Topics:

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

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