Microsoft PL-300 exam dumps : Microsoft Power BI Data Analyst

  • Exam Code: PL-300
  • Exam Name: Microsoft Power BI Data Analyst
  • Updated: Aug 09, 2026     Q & A: 515 Questions and Answers

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About Microsoft PL-300 Exam

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Microsoft PL-300 exam, also known as the Microsoft Power BI Data Analyst exam, is designed to test the skills and knowledge of candidates in the field of data analysis. PL-300 exam focuses on the use of Microsoft Power BI, a business analytics service provided by Microsoft, to analyze and visualize data from various sources. PL-300 exam measures the ability of candidates to work with Power BI Desktop, Power BI Service, and Power BI Mobile, as well as their understanding of data modeling, data visualization, and data analysis techniques.

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

Microsoft PL-300 exam, also known as the Microsoft Power BI Data Analyst exam, is a certification exam designed for professionals who want to demonstrate their expertise in using Microsoft Power BI to create compelling data visualizations and reports. PL-300 exam is one of the most popular and recognized certification exams in the industry and is highly sought after by employers looking for skilled data analysts.

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Microsoft PL-300 exam, also known as the Microsoft Power BI Data Analyst exam, is a certification exam that measures the skills and knowledge of professionals in the field of data analysis. Microsoft Power BI Data Analyst certification is designed for data analysts who use Microsoft Power BI to create reports, dashboards, and visualizations. PL-300 exam tests your knowledge of Power BI's advanced features and helps you prove your expertise in data analysis.

Microsoft PL-300 certification exam is an excellent opportunity for professionals who want to advance their careers in the field of business intelligence and data analysis. By earning this certification, candidates can demonstrate their expertise in using Power BI to drive business outcomes, which can lead to career advancement and better job opportunities.

Microsoft PL-300 Exam Syllabus Topics:

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

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