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

PL-300 Korean
  • Exam Code: PL-300-KR
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Updated: Aug 21, 2026
  • Q & A: 472 Questions and Answers

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Skills measured

  • Prepare the data (15-20%)
  • Deploy and maintain assets (20-25%)
  • Model the data (30-35%)
  • Download the study guide in the preceding “Tip” box for more details about the skills measured on this exam.
  • Visualize and analyze the data (25-30%)

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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.

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

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:

  • 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.

  • 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.

  • 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.

  • 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”.

For more info visit:

Microsoft Power BI Data Analyst Certification Exam Reference

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Microsoft PL-300 Korean Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Prepare the data25-30%- Load and configure data
  • 1. Define table structures and properties
    • 2. Configure data refresh settings
      • 3. Integrate data from multiple sources
        - Get or connect to data
        • 1. Configure data source settings, credentials, and privacy levels
          • 2. Identify and connect to data sources or shared semantic models
            • 3. Create and modify parameters
              • 4. Choose storage modes: Import, DirectQuery, DirectLake
                - Profile and clean data
                • 1. Resolve inconsistencies, null values, and errors
                  • 2. Manage data types, columns, and rows
                    • 3. Transform data using Power Query Editor
                      • 4. Evaluate data statistics and column properties
                        Topic 2: Model the data25-30%- Design data models
                        • 1. Define tables, columns, and hierarchies
                          • 2. Implement role-playing dimensions
                            • 3. Create common date tables
                              • 4. Create relationships: cardinality, cross-filter direction, security
                                - Create model calculations
                                • 1. Use DAX: calculated columns, calculated tables, measures
                                  • 2. Use CALCULATE and filter context
                                    • 3. Implement aggregation and time intelligence
                                      - Optimize model performance
                                      • 1. Optimize relationships and calculations
                                        • 2. Reduce cardinality and data size
                                          • 3. Use aggregations and composite models
                                            Topic 3: Visualize and analyze data25-30%- Perform data analysis
                                            • 1. Create and manage bookmarks and tooltips
                                              • 2. Interpret results and identify trends
                                                • 3. Implement custom visuals and R/Python scripts
                                                  - Create reports and dashboards
                                                  • 1. Choose appropriate visualizations
                                                    • 2. Create dashboards and pinned elements
                                                      • 3. Design report layout, formatting, and interactivity
                                                        • 4. Apply filters, slicers, and drill-through
                                                          - Enhance reports with analytics
                                                          • 1. Create paginated reports
                                                            • 2. Apply conditional formatting and custom visuals
                                                              • 3. Use AI visuals, forecasts, and key influencers
                                                                Topic 4: Manage and secure Power BI15-20%- Implement security and governance
                                                                • 1. Configure row-level security (RLS) and object-level security
                                                                  • 2. Manage permissions and access
                                                                    • 3. Apply data sensitivity labels and protection
                                                                      - Manage workspaces and assets
                                                                      • 1. Publish, update, and organize reports/datasets
                                                                        • 2. Manage data refresh and scheduled updates
                                                                          • 3. Create and configure workspaces
                                                                            - Deploy and distribute content
                                                                            • 1. Embed content in applications or websites
                                                                              • 2. Share reports, dashboards, and apps
                                                                                • 3. Monitor usage and performance

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