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  • Exam Code: DA-100J
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Last Updated: Aug 02, 2026
  • Q & A: 150 Questions and Answers
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  • Exam Code: DA-100J
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100日本語版)
  • Last Updated: Aug 02, 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.

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About Exam DA-100: Analyzing Data with Microsoft Power BI

The Microsoft DA-100 test is for those individuals who have at least some experience in working with Power Bi although it is not a strict requirement but a recommendation. In addition, the applicant should have some experience in the concepts of scaling data models, data visualizations, data cleaning, and data processing. When it comes to the test details, DA-100 exam is available in English, Chinese (Simplified), Korean, Japanese and will require $165 for registration. The registered candidate can use the Pearson VUE platform for scheduling an exam. In the final test, individuals will experience around 40-60 items that will have to be solved in 3 hours.

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

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What should you know about the Microsoft DA-100 exam before going for it?

The intended candidates for the Microsoft DA-100 exam are Data Analysts. These professionals help the organizations make the most of the value of data assets through the use of Microsoft Power BI. They also collaborate with the major stakeholders across the company to deliver the appropriate insights based on the recognized business prerequisites.

Microsoft DA-100 is an associate-level certification test, and as such, it does not have any official prerequisites. However, Microsoft recommends that the students have a good fundamental knowledge of data processing and data repositories both in Cloud and on-premises. The candidates for the exam should have the relevant skills in building and designing scalable data models, facilitating advanced analytic abilities, and transforming and cleaning data to provide significant business value through understandable data visualizations.

Microsoft DA-100日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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 2: Visualize the data25-30%- Enhance reports
          • 1. Use bookmarks and navigation elements
            • 2. Apply filters, slicers, and drill-through
              - Create reports
              • 1. Use visuals such as charts, maps, and tables
                • 2. Design interactive reports in Power BI Desktop
                  Topic 3: 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
                          Topic 4: 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 5: Analyze the data10-15%- Analyze data patterns
                                  • 1. Use AI visuals and quick insights
                                    • 2. Identify trends and outliers
                                      - Perform advanced analytics
                                      • 1. Use DAX time intelligence functions
                                        • 2. Apply statistical measures in reports

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