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: Sep 13, 2026
  • Q&As: 472 Questions and Answers

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What is the salary of the Microsoft Power BI Data Analyst Certified professional

The Average salary of different countries of Microsoft Power BI Data Analyst certified professionals:

  • India; INR 500,000

  • United States; USD 90,000

  • United Kingdom; POUNDS 60,000

  • Canada; CAD 70,000

  • Australia; AUD 75,000

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.

  • 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.

  • 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.

  • 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”.

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

Microsoft PL-300 Korean Exam Syllabus Topics:

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

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