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Microsoft Power BI Data Analyst Certification Exam Reference

Microsoft PL-300日本語 Exam Syllabus Topics:

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

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