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Microsoft PL-300 exam covers a range of topics related to data analysis and visualization using Microsoft Power BI. PL-300-Deutsch exam tests the candidate's proficiency in creating and managing data models using Power BI Desktop, connecting to data sources and transforming data, and designing and publishing reports and dashboards. Candidates must also demonstrate their ability to manage data security and collaborate with other users within Power BI.

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

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Microsoft PL-300 certification exam is designed for those who want to validate their skills in using Microsoft Power BI for data analysis. Power BI is a business analytics service that allows users to analyze data and share insights. The PL-300 exam tests the candidate's knowledge and skills in creating and managing data models, visualizations, and reports using Power BI.

The Microsoft PL-300-Deutsch exam covers a range of topics, including data modeling, DAX, data transformation, and visualization. Candidates will be tested on their ability to work with various data sources, including Excel, SQL Server, and the cloud. They will also be expected to understand how to use Power BI with other Microsoft products, such as Power Apps and Power Automate.

Microsoft PL-300 exam is a challenging test that requires candidates to have a deep understanding of Power BI concepts and capabilities. To pass the exam, candidates must demonstrate their ability to use Power BI tools and features to analyze data, create visualizations, and share insights with others. PL-300-Deutsch exam also evaluates the candidate's ability to work with different data sources, including cloud-based solutions such as Azure and SharePoint.

Microsoft PL-300 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Visualize and analyze data25-30%- 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. Design report layout, formatting, and interactivity
            • 3. Create dashboards and pinned elements
              • 4. Choose appropriate visualizations
                - Perform data analysis
                • 1. Create and manage bookmarks and tooltips
                  • 2. Implement custom visuals and R/Python scripts
                    • 3. Interpret results and identify trends
                      Model the data25-30%- Create model calculations
                      • 1. Use CALCULATE and filter context
                        • 2. Implement aggregation and time intelligence
                          • 3. Use DAX: calculated columns, calculated tables, measures
                            - Design data models
                            • 1. Implement role-playing dimensions
                              • 2. Create relationships: cardinality, cross-filter direction, security
                                • 3. Define tables, columns, and hierarchies
                                  • 4. Create common date tables
                                    - Optimize model performance
                                    • 1. Reduce cardinality and data size
                                      • 2. Optimize relationships and calculations
                                        • 3. Use aggregations and composite models
                                          Prepare the data25-30%- Profile and clean data
                                          • 1. Transform data using Power Query Editor
                                            • 2. Evaluate data statistics and column properties
                                              • 3. Resolve inconsistencies, null values, and errors
                                                • 4. Manage data types, columns, and rows
                                                  - Load and configure data
                                                  • 1. Configure data refresh settings
                                                    • 2. Integrate data from multiple sources
                                                      • 3. Define table structures and properties
                                                        - Get or connect to data
                                                        • 1. Create and modify parameters
                                                          • 2. Identify and connect to data sources or shared semantic models
                                                            • 3. Configure data source settings, credentials, and privacy levels
                                                              • 4. Choose storage modes: Import, DirectQuery, DirectLake
                                                                Manage and secure Power BI15-20%- Deploy and distribute content
                                                                • 1. Embed content in applications or websites
                                                                  • 2. Monitor usage and performance
                                                                    • 3. Share reports, dashboards, and apps
                                                                      - 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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