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Microsoft DA-100日本語 : Analyzing Data with Microsoft Power BI (DA-100日本語版)

DA-100日本語

Exam Code: DA-100J

Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)

Updated: Aug 02, 2026

Q & A: 150 Questions and Answers

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For more info about Exam DA-100: Analyzing Data with Microsoft Power BI

Exam DA-100: Analyzing Data with Microsoft Power BI

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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100

Microsoft DA-100日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Visualize the data25-30%- Enhance reports
  • 1. Use bookmarks and navigation elements
    • 2. Apply filters, slicers, and drill-through
      - Create reports
      • 1. Design interactive reports in Power BI Desktop
        • 2. Use visuals such as charts, maps, and tables
          Topic 2: Prepare the data20-25%- Clean and transform data
          • 1. Use Power Query Editor for data shaping
            • 2. Handle missing, duplicate, and inconsistent data
              - Get data from data sources
              • 1. Connect to data sources (files, databases, cloud services)
                • 2. Select appropriate storage modes (Import, DirectQuery, Composite)
                  Topic 3: Deploy and maintain deliverables10-15%- Manage workspaces and datasets
                  • 1. Publish reports to Power BI Service
                    • 2. Configure dataset refresh schedules
                      - Secure and share content
                      • 1. Implement row-level security (RLS)
                        • 2. Share dashboards with users and groups
                          Topic 4: Analyze the data10-15%- Analyze data patterns
                          • 1. Identify trends and outliers
                            • 2. Use AI visuals and quick insights
                              - Perform advanced analytics
                              • 1. Apply statistical measures in reports
                                • 2. Use DAX time intelligence functions
                                  Topic 5: Model the data25-30%- Design data models
                                  • 1. Design star and snowflake schemas
                                    • 2. Create relationships between tables
                                      - Create calculated columns and measures
                                      • 1. Optimize model performance
                                        • 2. Use DAX for calculations

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