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

"Microsoft Power BI Data Analyst (PL-300日本語版)", also known as PL-300 exam, is a Microsoft Certification. With the complete collection of questions and answers, BraindumpsPass has assembled to take you through 472 Q&As to your PL-300 Exam preparation. In the PL-300 exam resources, you will cover every field and category in Microsoft Certified: Power BI Data Analyst Associate Certification helping to ready you for your successful Microsoft Certification.

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  • Exam Code: PL-300
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
  • Certification Provider: Microsoft
  • Corresponding Certification: Microsoft Certified: Power BI Data Analyst Associate
  • Updated: Sep 07, 2026
  • No. of Questions: 472 Questions & Answers with Testing Engine
  • Download Limit: Unlimited

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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.

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

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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.

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Benefits

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. BraindumpsPass Microsoft PL-300 Dumps will help you to pass your certification exam and get highly paid job.

Microsoft PL-300日本語 Exam Syllabus Topics:

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

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