Microsoft PL-300 Korean dumps - in .pdf

PL-300 Korean pdf
  • Exam Code: PL-300 Korean
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Updated: Aug 30, 2026
  • Q & A: 472 Questions and Answers
  • PDF Price: $69.99

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  • Exam Code: PL-300 Korean
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Updated: Aug 30, 2026
  • Q & A: 472 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $139.98  $89.99
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Microsoft PL-300 Korean dumps - Testing Engine

PL-300 Korean Testing Engine
  • Exam Code: PL-300 Korean
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Updated: Aug 30, 2026
  • Q & A: 472 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

About Microsoft PL-300 Korean Exam Test Dumps

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Skills measured

  • 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%)
  • Prepare the data (15-20%)
  • Model the data (30-35%)
  • Deploy and maintain assets (20-25%)

Schedule exam

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

Microsoft PL-300 Korean Exam Syllabus Topics:

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

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