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

PL-300日本語 real exams

Exam Code: PL-300J

Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)

Updated: Sep 15, 2026

Q & A: 472 Questions and Answers

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

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

  • Time Duration: 180 minutes

  • The passing score: 700

  • Number of Questions: 40-60 questions

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

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Skills measured

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

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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
        - 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
                - Enhance reports with analytics
                • 1. Create paginated reports
                  • 2. Use AI visuals, forecasts, and key influencers
                    • 3. Apply conditional formatting and custom visuals
                      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. Define tables, columns, and hierarchies
                              • 2. Implement role-playing dimensions
                                • 3. Create relationships: cardinality, cross-filter direction, security
                                  • 4. Create common date tables
                                    - Optimize model performance
                                    • 1. Optimize relationships and calculations
                                      • 2. Use aggregations and composite models
                                        • 3. Reduce cardinality and data size
                                          Prepare the data25-30%- Load and configure data
                                          • 1. Configure data refresh settings
                                            • 2. Integrate data from multiple sources
                                              • 3. Define table structures and properties
                                                - 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
                                                        - Get or connect to data
                                                        • 1. Create and modify parameters
                                                          • 2. Choose storage modes: Import, DirectQuery, DirectLake
                                                            • 3. Identify and connect to data sources or shared semantic models
                                                              • 4. Configure data source settings, credentials, and privacy levels
                                                                Manage and secure Power BI15-20%- Manage workspaces and assets
                                                                • 1. Manage data refresh and scheduled updates
                                                                  • 2. Publish, update, and organize reports/datasets
                                                                    • 3. Create and configure workspaces
                                                                      - 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. Apply data sensitivity labels and protection
                                                                              • 2. Manage permissions and access
                                                                                • 3. Configure row-level security (RLS) and object-level security

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