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Is Microsoft Power BI Data Analyst Certification Exam Worth It

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.

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Understanding Microsoft Power BI Data Analyst Certification Exam Topics

Microsoft Power BI Data Analyst Certification Exam Topics are below:

  • Deploy and maintain assets (20-25%)
  • Visualize and analyze the data (25-30%)
  • Prepare the data (15-20%)
  • Model the data (30-35%)

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

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Microsoft PL-300日本語 Exam Syllabus Topics:

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

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