Microsoft PL-300 Deutsch : Microsoft Power BI Data Analyst (PL-300 Deutsch Version)

PL-300 Deutsch real exams

Exam Code: PL-300-Deutsch

Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)

Updated: Oct 03, 2026

Q & A: 472 Questions and Answers

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Microsoft PL-300 Deutsch Exam Syllabus Topics:

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

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