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

  • Exam Code: PL-300
  • Exam Name: Microsoft Power BI Data Analyst
  • Updated: Aug 11, 2026
  • Q&As: 515 Questions and Answers

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About Microsoft Power BI Data Analyst - PL-300 Valid Dumps

What are the special features of the Microsoft Power BI Data Analyst Certification Exam

The Microsoft Power BI Data Analyst Certification Exam will help you prepare for the new job role of a data analyst. A certified Data Analyst can use this exam to prove their skills in using Power BI to analyze business data, generate insightful visualizations, and share them with customers. Microsoft PL-300 Dumps is designed to test your knowledge of business data modeling, data analysis and visualization, and dashboard development in Power BI. The exam will cover the following topics:

  • Creating custom data models that support analysis and reporting requirements

  • Identifying sources of data that can contribute to achieving business goals

  • Developing dashboards that provide actionable insights into business performance

  • Understanding business context, including organizational strategy and objectives

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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 using Power BI Desktop.

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

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

  • 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.

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What is the salary of the Microsoft Power BI Data Analyst Certified professional

The Average salary of different countries of Microsoft Power BI Data Analyst certified professionals:

  • United Kingdom; POUNDS 60,000

  • Canada; CAD 70,000

  • India; INR 500,000

  • Australia; AUD 75,000

  • United States; USD 90,000

Microsoft Power BI Data Analyst Exam Study Guide Gets You Certified Faster

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

Microsoft PL-300 Exam Syllabus Topics:

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

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