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

  • Exam Code: DA-100日本語
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Updated: Aug 14, 2026     Q & A: 150 Questions and Answers

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About Data Analyst Associate and Who It Is Intended for

The Microsoft Certified: Data Analyst Associate is earned by passing DA-100 and is a role-based intermediate-level certification that falls under the Microsoft Power Platform certification hierarchy and authenticates the data analyst's expertise in utilizing Microsoft Power BI in maximizing the businesses' data assets value. The earner of this certificate will be competent to design and develop scalable data models along with cleaning and transformation of data to provide business values through data visualizations. Overall, this certification will be beneficial for data analysts in broadening their technological prowess and the values that they provide for businesses.

Requirements

The Microsoft DA-100: Analyzing Data with Microsoft Power BI test does not have any official prerequisite. However, the applicants must understand the content of the exam topics. They also need to have fundamental knowledge of data processing and data repositories in Cloud and on-premises.

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

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Exam DA-100: Analyzing Data with Microsoft Power BI

Data Analysts enable businesses to maximize the value of their data assets by using Microsoft Power BI. As a subject matter expert, Data Analysts are responsible for designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations. Data Analysts also collaborate with key stakeholders across verticals to deliver relevant insights based on identified business requirements.

The Data Analyst should have a fundamental understanding of data repositories and data processing both on-premises and in the cloud.

Part of the requirements for: Microsoft Certified: Data Analyst Associate

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Microsoft DA-100日本語 Exam Syllabus Topics:

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

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