PL-300 Exam Preparatory: Microsoft Power BI Data Analyst provides three versions for choosing, PL-300 Test Questions help you have efficient study plan so that you pass for sure. After purchasing you can get excellent after-sale service.

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  • Exam Code: PL-300
  • Exam Name: Microsoft Power BI Data Analyst
  • Updated: Jul 29, 2026
  • Q & A: 515 Questions and Answers
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  • Exam Code: PL-300
  • Exam Name: Microsoft Power BI Data Analyst
  • Updated: Jul 29, 2026
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  • Exam Name: Microsoft Power BI Data Analyst
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The world of IT is changing rapidly. The demand for skilled professionals has reached its peak. With the increase in number of software companies, the competition has also increased. There are a lot of opportunities for professionals with high level skills. One such skill is Microsoft Power BI Data Analyst Certification Exam. This exam is designed to test your knowledge on data analysis concepts and also on different tools that you can use to solve problems related to data analysis.

There are many ways to get certified as a data analyst or BI professional. You can go through a formal education program or attend classes offered by various institutions and organizations. However, if you want to ensure that you get the best job opportunities and get hired easily, then getting certified is what you need to do. Here at Prep4SureReview our Microsoft PL-300 Dumps will help you to get certified. Basic measures of column chart scenario have scenario based questions that shared dataset of calculated table.

Skills measured

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

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

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Microsoft Power BI Data Analyst Exam Certification Details:

Books / TrainingCourse PL-300T00: Microsoft Power BI Data Analyst
Duration180 mins
Sample QuestionsMicrosoft Power BI Data Analyst Sample Questions
Exam NameMicrosoft Certified - Power BI Data Analyst Associate
Exam Price$165 (USD)
Number of Questions40-60
Passing Score700 / 1000
Schedule ExamPearson VUE
Exam CodePL-300

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Microsoft PL-300 Exam Syllabus Topics:

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

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