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

  • Exam Code: PL-300J
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
  • Updated: Jul 19, 2026     Q & A: 515 Questions and Answers

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The Importance Of Microsoft Power BI Data Analyst Certification Exam For A Career In IT

The world of IT is changing rapidly. The demand for skilled professionals has reached its peak. With the increase in number of software companies, the competition has also increased. There are a lot of opportunities for professionals with high level skills. One such skill is Microsoft Power BI Data Analyst Certification Exam. This exam is designed to test your knowledge on data analysis concepts and also on different tools that you can use to solve problems related to data analysis.

There are many ways to get certified as a data analyst or BI professional. You can go through a formal education program or attend classes offered by various institutions and organizations. However, if you want to ensure that you get the best job opportunities and get hired easily, then getting certified is what you need to do. Here at PracticeTorrent our Microsoft PL-300 Dumps will help you to get certified. Basic measures of column chart scenario have scenario based questions that shared dataset of calculated table.

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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 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.

  • You have at least one year of experience using Power BI Desktop.

  • 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.

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

Microsoft PL-300日本語 Exam Syllabus Topics:

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

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