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  • Exam Code: PL-300日本語
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
  • Updated: Aug 02, 2026
  • Q & A: 515 Questions and Answers
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  • Exam Code: PL-300日本語
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300

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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.

Microsoft PL-300日本語 Exam Syllabus Topics:

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

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