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

PL-300日本語 Exam Simulator
  • Exam Code: PL-300J
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
  • Updated: Sep 13, 2026
  • Q & A: 472 Questions and Answers
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Is Microsoft Power BI Data Analyst Certification Exam Worth It

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.

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:

  • 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.

  • 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.

  • 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.

  • 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.

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

Microsoft PL-300日本語 Exam Syllabus Topics:

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

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