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

Microsoft PL-300日本語 exam
  • Exam Code: PL-300J
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
  • Updated: Sep 16, 2026
  • Q & A: 472 Questions and Answers
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About Microsoft PL-300日本語 Exam Questions

What is the exam cost of the Microsoft Power BI Data Analyst Certification Exam

The cost of the Microsoft Power BI Data Analyst Certification Exam is 165 USD.

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What are the steps to follow for the registration of the Microsoft Power BI Data Analyst Certification Exam

The steps to follow for the registration of the Microsoft Power BI Data Analyst Certification Exam are as follows:

  • Go to the official website of Microsoft, and click on “Microsoft Learning”.

  • The next step is to fill out your personal information such as name, email address, country and state city etc., which is mandatory to complete your registration process successfully.

  • You will see a list of courses that are available on this website. Select “Microsoft Power BI Data Analyst Certification Exam” and click on “Enroll Now” button.

  • After successful registration process, you will receive an email confirmation from Microsoft with all the details about your course including access code etc., which will be sent to your registered email ID provided during registration process.

  • Then you need to select your preferred payment method which includes credit card or PayPal account etc., and you will receive an email confirmation after successful payment using your credit card or PayPal account etc.

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

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 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 using Power BI Desktop.

  • 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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Microsoft PL-300日本語 Exam Syllabus Topics:

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

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