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Microsoft PL-300 Deutsch Exam Syllabus Topics:

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

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