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Microsoft PL-300 Korean

PL-300 Korean

Exam Code: PL-300-KR

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

Updated: Aug 20, 2026

Q&A Number: 472 Q&As

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About Microsoft PL-300 Korean Exam Questions and Answers

What are the steps to follow for the registration of the Microsoft Power BI Data Analyst Certification Exam

The steps to follow for the registration of the Microsoft Power BI Data Analyst Certification Exam are as follows:

  • You will see a list of courses that are available on this website. Select “Microsoft Power BI Data Analyst Certification Exam” and click on “Enroll Now” button.

  • After successful registration process, you will receive an email confirmation from Microsoft with all the details about your course including access code etc., which will be sent to your registered email ID provided during registration process.

  • Go to the official website of Microsoft, and click on “Microsoft Learning”.

  • The next step is to fill out your personal information such as name, email address, country and state city etc., which is mandatory to complete your registration process successfully.

  • Then you need to select your preferred payment method which includes credit card or PayPal account etc., and you will receive an email confirmation after successful payment using your credit card or PayPal account etc.

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

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Microsoft Power BI Data Analyst Exam Certification Details:

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

Learn more about the exam

The need for this exam has increased tremendously over the years. As more people start using technology, there is a greater need for more professionals who can help them with their problems. With the increasing demand for people with these skills, it will be difficult for you to get a job without having one. If you want to succeed in your career, you should consider taking this test because it will give you an edge over other candidates who do not have it. It will also help you stand out from the crowd if you are applying for jobs online or even if you are looking for promotion within your company. Column data types have questions and answers subcategories for real time scenario. Sample questions about data source settings have calculated columns mobile view. Quick measure mode filters the app syllabus to practice the average sales. If you are feeling sensitive to additives in your food, you may want to format your schema prepared environment to be more additive-sensitive. This could involve avoiding foods that contain additives, eating organic foods whenever possible, or using natural sweeteners.

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PL-300 Korean Online Test Engine

Microsoft PL-300 Korean Exam Syllabus Topics:

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

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