Microsoft PL-300日本語 : Microsoft Power BI Data Analyst (PL-300日本語版)

PL-300日本語 pass collection

Exam Code: PL-300J

Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)

Updated: Sep 11, 2026

Q & A: 472 Questions and Answers

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Passing Score, Duration & Questions For Microsoft PL-300 Exam

  • Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian

  • Time Duration: 180 minutes

  • The passing score: 700

  • Number of Questions: 40-60 questions

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

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Microsoft PL-300日本語 Exam Syllabus Topics:

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

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