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

  • Exam Code: PL-300
  • Exam Name: Microsoft Power BI Data Analyst
  • Updated: Aug 16, 2026
  • Q&As: 472 Questions and Answers

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About Microsoft PL-300 Valid Exam Braindumps

Prerequisites of Microsoft Power BI Data Analyst Certification Exam

The Microsoft Power BI Data Analyst Certification Exam is a test which assesses your ability to have a high-level understanding of the data analysis process, including collecting, analyzing and visualizing data. It is a certification that will help you gain the required skills to be able to work with business intelligence solutions and tools. To be eligible to take this exam, you must meet the following prerequisites:

  • You have at least one year of experience working with relational databases, such as SQL Server or Oracle. In addition, you should have a basic understanding of how to create queries and reports using SQL Server Management Studio or Toad Data Point.

  • You have at least one year of experience using Power BI Desktop.

  • You have at least one year of experience using Power Query in Excel, or an equivalent experience using another data analysis tool.

  • You are a professional data analyst with 2-4 years of work experience or an IT professional with 2-4 years of experience.

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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.

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

Microsoft PL-300 Exam Syllabus Topics:

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

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