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Microsoft Power BI Data Analyst : PL-300

PL-300

Exam Code: PL-300

Exam Name: Microsoft Power BI Data Analyst

Updated: Jul 24, 2026

Q & A: 515 Questions and Answers

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About Microsoft PL-300 Exam

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The need for this exam has increased tremendously over the years. As more people start using technology, there is a greater need for more professionals who can help them with their problems. With the increasing demand for people with these skills, it will be difficult for you to get a job without having one. If you want to succeed in your career, you should consider taking this test because it will give you an edge over other candidates who do not have it. It will also help you stand out from the crowd if you are applying for jobs online or even if you are looking for promotion within your company. Column data types have questions and answers subcategories for real time scenario. Sample questions about data source settings have calculated columns mobile view. Quick measure mode filters the app syllabus to practice the average sales. If you are feeling sensitive to additives in your food, you may want to format your schema prepared environment to be more additive-sensitive. This could involve avoiding foods that contain additives, eating organic foods whenever possible, or using natural sweeteners.

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

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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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Microsoft PL-300 Exam Syllabus Topics:

SectionWeightObjectives
Visualize the Data25-30%- Enrich reports with advanced visuals
  • 1. Use dynamic page navigation
  • 2. Create custom visuals
  • 3. Configure R and Python visuals
  • 4. Integrate Microsoft Copilot for Power BI
- Enhance reports for user experience
  • 1. Apply artistic formatting to visuals
  • 2. Add accessibility features and compliance
  • 3. Design for mobile and specific layouts
  • 4. Add tooltips and navigation
- Build visuals
  • 1. Format and configure pages and report backgrounds
  • 2. Determine the appropriate visual type
  • 3. Configure data colors and shapes
  • 4. Apply sorting and filtering to visuals
  • 5. Apply AI insights and enhanced analytics
  • 6. Configure visual interactions and cross-filtering
Model the Data25-30%- Create measures and DAX calculations
  • 1. Use Time Intelligence functions
  • 2. Create semi-additive measures
  • 3. Create calculated measures
  • 4. Write and use basic DAX syntax
  • 5. Use CALCULATE and FILTER functions
  • 6. Implement context transition
- Develop the data model
  • 1. Create common date tables
  • 2. Implement row-level security roles
  • 3. Create calculated tables and columns
  • 4. Build hierarchies and hierarchical fields
  • 5. Configure table relationships
  • 6. Use the calculation group feature
- Optimize model performance
  • 1. Improve user experience by hiding objects
  • 2. Optimize DirectQuery models
  • 3. Optimize Dax queries
  • 4. Validate performance and resolve issues
  • 5. Configure aggregations
- Design a data model
  • 1. Determine the appropriate granularity
  • 2. Apply field metadata and groupings
  • 3. Define tables and table schemas
  • 4. Resolve performance issues with relationships
  • 5. Implement row-level security
  • 6. Design a star schema or snowflake schema
Prepare the Data10-15%- Get data from various data sources
  • 1. Choose between DirectQuery, Import, and Dual storage modes
  • 2. Use Microsoft Fabric and OneLake
  • 3. Identify and connect to a data source
  • 4. Configure dataset refresh
  • 5. Change data source settings
  • 6. Select a shared dataset or create a local copy
- Clean, transform, and load the data
  • 1. Determine proper data types
  • 2. Design and build intermediate tables
  • 3. Apply user-friendly naming conventions to columns and tables
  • 4. Configure data loading and queries
  • 5. Identify the data structure
  • 6. Profile the data
  • 7. Resolve data quality issues
Analyze the Data10-15%- Work with metrics in Power BI
  • 1. Create metrics using Microsoft measurements
  • 2. Track goals with scorecards
  • 3. Use the Decomposition Tree visual
  • 4. Define and monitor KPIs
- Perform analysis in Power BI
  • 1. Apply Quick Insights
  • 2. Use the Q&A visual
  • 3. Generate Pinn visual insights
  • 4. Identify patterns and trends
  • 5. Configure auto-insights
Manage and Maintain Workspace Items10-15%- Create and manage workspaces
  • 1. Configure workspace membership and roles
  • 2. Configure content certification
  • 3. Publish and update a Power BI app
  • 4. Endorse sensitive content with sensitivity labels
- Manage datasets
  • 1. Manage gateways and data sources
  • 2. Configure dataset metadata and properties
  • 3. Resolve dataset permission issues
  • 4. Manage dataset refresh scheduling
PL-300 Related Exams
PL-300-Deutsch - Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
PL-300J - Microsoft Power BI Data Analyst (PL-300日本語版)
PL-300-KR - Microsoft Power BI Data Analyst (PL-300 Korean Version)
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