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Microsoft Power BI Data Analyst Exam Certification Details:

Books / TrainingCourse PL-300T00: Microsoft Power BI Data Analyst
Number of Questions40-60
Passing Score700 / 1000
Exam CodePL-300
Sample QuestionsMicrosoft Power BI Data Analyst Sample Questions
Exam NameMicrosoft Certified - Power BI Data Analyst Associate
Duration180 mins
Exam Price$165 (USD)
Schedule ExamPearson VUE

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

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Microsoft PL-300 Deutsch Exam Syllabus Topics:

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

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