Microsoft PL-300日本語 Q&A - in .pdf

  • PL-300日本語 pdf
  • Exam Code: PL-300日本語
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
  • Updated: Aug 19, 2026
  • Q & A: 472 Questions and Answers
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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. PracticeDump Microsoft PL-300 Dumps will help you to pass your certification exam and get highly paid job.

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

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Microsoft Power BI Data Analyst Exam Certification Details:

Number of Questions40-60
Books / TrainingCourse PL-300T00: Microsoft Power BI Data Analyst
Duration180 mins
Exam CodePL-300
Exam Price$165 (USD)
Schedule ExamPearson VUE
Passing Score700 / 1000
Exam NameMicrosoft Certified - Power BI Data Analyst Associate
Sample QuestionsMicrosoft Power BI Data Analyst Sample Questions

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PL-300日本語 Practice Dumps

Schedule exam

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.

Microsoft PL-300日本語 Exam Syllabus Topics:

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