Microsoft Power BI Data Analyst : PL-300

  • Exam Code: PL-300
  • Exam Name: Microsoft Power BI Data Analyst
  • Updated: Aug 24, 2026   Q&As: 472 Questions and Answers
  • Q & A: 472 Questions and Answers

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About Microsoft Power BI Data Analyst : PL-300 Exam

Skills measured
  • Prepare the data (15-20%)
  • Deploy and maintain assets (20-25%)
  • Visualize and analyze the data (25-30%)
  • Download the study guide in the preceding “Tip” box for more details about the skills measured on this exam.
  • Model the data (30-35%)

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

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There are many IT certifications available in the market today, but if you are looking for a job as a data analyst then you should give this certification a chance. This certification will help you to stand out from the crowd and get hired easily by many companies. Microsoft Power BI Data Analyst Certification Exam is the most valuable certification program for IT professionals in their respective fields. Microsoft PL-300 Dumps is a must-have certificate for all IT professionals who want to pursue their career in the field of data analytics.

The Microsoft Power BI Data Analyst Certification Exam is a certification exam that will help you to demonstrate your expertise in using the Microsoft Power BI platform. This exam tests the candidate's ability to analyze data with Power BI and create reports that are accurate, insightful and easy to read. Once you pass this exam, you will receive a certificate that shows your competence in performing these tasks. The certificate is valid for three years, so if you want to keep your skills up-to-date then you should take additional training during this time period.

Microsoft PL-300 Exam Syllabus Topics:
SectionWeightObjectives
Manage and secure Power BI15-20%- Deploy and distribute content
  • 1. Monitor usage and performance
    • 2. Embed content in applications or websites
      • 3. Share reports, dashboards, and apps
        - 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
              - Manage workspaces and assets
              • 1. Publish, update, and organize reports/datasets
                • 2. Manage data refresh and scheduled updates
                  • 3. Create and configure workspaces
                    Model the data25-30%- Design data models
                    • 1. Create relationships: cardinality, cross-filter direction, security
                      • 2. Create common date tables
                        • 3. Implement role-playing dimensions
                          • 4. Define tables, columns, and hierarchies
                            - Create model calculations
                            • 1. Use DAX: calculated columns, calculated tables, measures
                              • 2. Use CALCULATE and filter context
                                • 3. Implement aggregation and time intelligence
                                  - Optimize model performance
                                  • 1. Optimize relationships and calculations
                                    • 2. Reduce cardinality and data size
                                      • 3. Use aggregations and composite models
                                        Prepare the data25-30%- Profile and clean data
                                        • 1. Resolve inconsistencies, null values, and errors
                                          • 2. Manage data types, columns, and rows
                                            • 3. Transform data using Power Query Editor
                                              • 4. Evaluate data statistics and column properties
                                                - Load and configure data
                                                • 1. Integrate data from multiple sources
                                                  • 2. Define table structures and properties
                                                    • 3. Configure data refresh settings
                                                      - 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
                                                              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
                                                                    - Create reports and dashboards
                                                                    • 1. Create dashboards and pinned elements
                                                                      • 2. Choose appropriate visualizations
                                                                        • 3. Design report layout, formatting, and interactivity
                                                                          • 4. Apply filters, slicers, and drill-through
                                                                            - Perform data analysis
                                                                            • 1. Implement custom visuals and R/Python scripts
                                                                              • 2. Interpret results and identify trends
                                                                                • 3. Create and manage bookmarks and tooltips

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