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Microsoft PL-300 Korean Braindumps - in .pdf Free Demo

  • Exam Code: PL-300-KR
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Last Updated: Aug 06, 2026
  • Q & A: 515 Questions and Answers
  • Convenient, easy to study. Printable Microsoft PL-300 Korean PDF Format. It is an electronic file format regardless of the operating system platform. 100% Money Back Guarantee.
  • PDF Price: $69.98    

Microsoft PL-300 Korean Braindumps - Testing Engine PC Screenshot

  • Exam Code: PL-300-KR
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Last Updated: Aug 06, 2026
  • Q & A: 515 Questions and Answers
  • Uses the World Class PL-300 Korean Testing Engine. Free updates for one year. Real PL-300 Korean exam questions with answers. Install on multiple computers for self-paced, at-your-convenience training.
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About Microsoft PL-300 Korean Exam

For more info visit:

Microsoft Power BI Data Analyst Certification Exam Reference

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

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Prerequisites of Microsoft Power BI Data Analyst Certification Exam

The Microsoft Power BI Data Analyst Certification Exam is a test which assesses your ability to have a high-level understanding of the data analysis process, including collecting, analyzing and visualizing data. It is a certification that will help you gain the required skills to be able to work with business intelligence solutions and tools. To be eligible to take this exam, you must meet the following prerequisites:

  • You have at least one year of experience using Power Query in Excel, or an equivalent experience using another data analysis tool.

  • You have at least one year of experience using Power BI Desktop.

  • You are a professional data analyst with 2-4 years of work experience or an IT professional with 2-4 years of experience.

  • You have at least one year of experience working with relational databases, such as SQL Server or Oracle. In addition, you should have a basic understanding of how to create queries and reports using SQL Server Management Studio or Toad Data Point.

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Microsoft PL-300 Korean Exam Syllabus Topics:

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

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