Microsoft PL-300 dumps - in .pdf

PL-300 pdf
  • Exam Code: PL-300
  • Exam Name: Microsoft Power BI Data Analyst
  • Updated: Aug 16, 2026
  • Q & A: 472 Questions and Answers
  • PDF Price: $59.99
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  • Exam Code: PL-300
  • Exam Name: Microsoft Power BI Data Analyst
  • Updated: Aug 16, 2026
  • Q & A: 472 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Microsoft PL-300 dumps - Testing Engine

PL-300 Testing Engine
  • Exam Code: PL-300
  • Exam Name: Microsoft Power BI Data Analyst
  • Updated: Aug 16, 2026
  • Q & A: 472 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

About Microsoft Power BI Data Analyst Dumps Question

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The Microsoft Power BI Data Analyst certification is a globally recognized certification that validates your ability to design, build, and optimize data models using Power BI. It also demonstrates your expertise in building queries and reports with appropriate visuals, including dashboards, scorecards, and visualizations. This certification focuses on the intermediate-level skills required for data modeling and analysis.

The Microsoft Power BI Data Analyst certification provides many benefits to you. It helps you boost your career growth by validating your knowledge in building business intelligence solutions using Power BI platform. It validates your skills in designing reports and visualizations for various business needs. It increases your credibility among employers as most companies look for professionals who have this certification. It provides an opportunity to earn a higher salary package compared to those without this certification. DumpsQuestion Microsoft PL-300 Dumps will help you to pass your certification exam and get highly paid job.

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Skills measured

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

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

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Microsoft PL-300 Exam Syllabus Topics:

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

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