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Last Updated: Jul 31, 2026

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There are many IT certifications available in the market today, but if you are looking for a job as a data analyst then you should give this certification a chance. This certification will help you to stand out from the crowd and get hired easily by many companies. Microsoft Power BI Data Analyst Certification Exam is the most valuable certification program for IT professionals in their respective fields. Microsoft PL-300 Dumps is a must-have certificate for all IT professionals who want to pursue their career in the field of data analytics.

The Microsoft Power BI Data Analyst Certification Exam is a certification exam that will help you to demonstrate your expertise in using the Microsoft Power BI platform. This exam tests the candidate's ability to analyze data with Power BI and create reports that are accurate, insightful and easy to read. Once you pass this exam, you will receive a certificate that shows your competence in performing these tasks. The certificate is valid for three years, so if you want to keep your skills up-to-date then you should take additional training during this time period.

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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.

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

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Microsoft PL-300 Exam Syllabus Topics:

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