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: Aug 19, 2026
  • Q & A: 472 Questions and Answers
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Microsoft PL-300 Korean Q&A - Testing Engine

  • PL-300 Korean Testing Engine
  • Exam Code: PL-300 Korean
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Updated: Aug 19, 2026
  • Q & A: 472 Questions and Answers
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Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: prepare the data; model the data; visualize and analyze the data; and deploy and maintain assets.

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

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

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Microsoft PL-300 Korean Exam Syllabus Topics:

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