Microsoft PL-300日本語 real exam prep : Microsoft Power BI Data Analyst (PL-300日本語版)

  • Exam Code: PL-300J
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
  • Updated: Aug 24, 2026
  • Q&As: 472 Questions and Answers

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Passing Score, Duration & Questions For Microsoft PL-300 Exam

  • Number of Questions: 40-60 questions

  • Time Duration: 180 minutes

  • The passing score: 700

  • Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian

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

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PL-300日本語 exam dumps

Microsoft PL-300日本語 Exam Syllabus Topics:

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

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