PL-300 Korean Training Materials & PL-300 Korean Certification Training & PL-300 Korean Exam Questions

Microsoft PL-300 Korean : Microsoft Power BI Data Analyst (PL-300 Korean Version)

Exam Code: PL-300-KR

Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)

Updated: Sep 01, 2026

Q & A: 472 Questions and Answers

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About Microsoft PL-300 Korean exam dumps materials

Passing Score, Duration & Questions For Microsoft PL-300 Exam

  • Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian

  • Time Duration: 180 minutes

  • Number of Questions: 40-60 questions

  • The passing score: 700

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

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Why Microsoft Power BI Data Analyst Certification Exam is so difficult

No matter how many times you take the Microsoft Power BI Data Analyst Certification Exam, you will never be able to finish it. This is because the exam is designed to be as difficult as possible. When you first sit down and begin answering questions, you may feel like there are a lot of easy ones. This is just part of the test's strategy. they want to make sure that you think everything's going smoothly, so that when they throw in a difficult question later on, it will be much harder for you to answer.

The Microsoft certification exams are considered to be the toughest in the industry. This is because of the fact that if you have passed one of these exams, then it means that you have gone through a tough time and have shown that you are capable enough to handle any situation. Microsoft Power BI Data Analyst Certification Exam is designed to give you a hard time. It won't let up until you finally give up entirely and surrender your certification. DumpsMaterials Microsoft PL-300 Dumps are the only way to pass your exam and get certified in your first attempt.

Introduction of Microsoft PL-300 Exam

Microsoft offers a wide range of certifications to enhance your knowledge in various areas of IT. The Microsoft Power BI Data Analyst Certification Exam is one of the most popular and sought-after Microsoft certification exams which aims to develop your skills as a data analyst by providing you with an opportunity to learn about basic business intelligence concepts, data analysis techniques and tools that can be used for building data models. Microsoft PL-300 Dumps are the best way to pass your exam.

The Microsoft certification exams enable you to validate your knowledge and skills in the system. If you have a job, it helps you to get promoted. The certification is a must-have for IT professionals. Microsoft Power BI Data Analyst Certification Exam is an exam designed by Microsoft for data analysts who are interested in gaining knowledge of the Microsoft Azure cloud platform and Power BI suite tools. The exam tests your ability to design, develop, and implement analytical solutions using Excel, Power Pivot, Power View and other related tools.

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Microsoft PL-300 Korean Exam Syllabus Topics:

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

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