Microsoft PL-300 Korean Q&A - in .pdf

  • PL-300 Korean pdf
  • Exam Code: PL-300 Korean
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Updated: Sep 17, 2026
  • Q & A: 472 Questions and Answers
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  • PL-300 Korean Testing Engine
  • Exam Code: PL-300 Korean
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Updated: Sep 17, 2026
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Microsoft Power BI Data Analyst Exam Certification Details:

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

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

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Understanding Microsoft Power BI Data Analyst Certification Exam Topics

Microsoft Power BI Data Analyst Certification Exam Topics are below:

  • Visualize and analyze the data (25-30%)
  • Deploy and maintain assets (20-25%)
  • Model the data (30-35%)
  • Prepare the data (15-20%)

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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 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 BI Desktop.

  • You have at least one year of experience using Power Query in Excel, or an equivalent experience using another data analysis tool.

Microsoft PL-300 Korean Exam Syllabus Topics:

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