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Instant Download Microsoft : PL-300 Deutsch Questions & Answers as PDF & Test Engine

PL-300 Deutsch
  • Exam Code: PL-300
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Sep 23, 2026
  • No. of Questions: 472 Questions and Answers
  • Download Limit: Unlimited
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To prepare for the PL-300 exam, candidates should have a strong understanding of data analysis concepts and experience using Power BI for data analysis. Microsoft offers various training courses and resources to help candidates prepare for the exam, including online courses, practice exams, and study guides. Candidates can also gain hands-on experience by working on real-world projects using Power BI.

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

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Microsoft PL-300 certification exam is an excellent opportunity for professionals who are seeking to validate their skills and knowledge in the field of data analysis. Microsoft Power BI Data Analyst (PL-300 Deutsch Version) certification can help professionals to stand out in a competitive job market and offers a great way to advance their careers. By obtaining this certification, individuals can demonstrate their expertise in Power BI data analysis and visualization.

Microsoft PL-300 exam is important for those who want to advance their careers in data analysis and business intelligence. Microsoft Power BI Data Analyst (PL-300 Deutsch Version) certification is recognized globally and can be used to demonstrate proficiency in Power BI to potential employers. It is also a great way for individuals to enhance their resumes and stand out in a competitive job market.

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Microsoft PL-300 Deutsch Exam Syllabus Topics:

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