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

"Analyzing Data with Microsoft Power BI (DA-100日本語版)", also known as DA-100 exam, is a Microsoft Certification. With the complete collection of questions and answers, UpdateDumps has assembled to take you through 150 Q&As to your DA-100 Exam preparation. In the DA-100 exam resources, you will cover every field and category in Microsoft Certified: Data Analyst Associate Certification helping to ready you for your successful Microsoft Certification.

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  • Updated on: Jul 18, 2026
  • No. of Questions: 150 Questions & Answers

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  • Updated on: Jul 18, 2026
  • No. of Questions: 150 Questions & Answers

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Exam Details

Microsoft DA-100 is an associate-level certification exam, which means that irrespective of your current hands-on experience in the subject area, you can still work towards passing this test and obtaining the certificate. All you need is a thorough understanding of the exam topics and diligent preparation.

The DA-100 exam contains 40-60 questions, covering different types, such as case studies, multiple choice, drag and drop, active screen, and build list, among others. This test can be scheduled using Pearson VUE, the official administrator of the Microsoft certification exams. When you are ready to register for this test, you have to pay the fee of $165. This applies to a single sitting for the exam. If you do not get the required passing score that is 720 points, you must pay a new fee to retake the test.

The Microsoft DA-100: Analyzing Data with Microsoft Power BI exam measures the capability of the individuals to complete certain technical tasks. These include preparing data, visualizing data, modeling data, analyzing data, and maintaining and deploying deliverables. This is the only test that is required to earn the Microsoft Certified: Data Analyst Associate certification.

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

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Microsoft DA-100日本語 Exam Syllabus Topics:

SectionWeightObjectives
Deploy and maintain deliverables10-15%- Secure and share content
  • 1. Share dashboards with users and groups
    • 2. Implement row-level security (RLS)
      - Manage workspaces and datasets
      • 1. Publish reports to Power BI Service
        • 2. Configure dataset refresh schedules
          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%- 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
                          Model the data25-30%- Create calculated columns and measures
                          • 1. Use DAX for calculations
                            • 2. Optimize model performance
                              - Design data models
                              • 1. Create relationships between tables
                                • 2. Design star and snowflake schemas
                                  Prepare the data20-25%- Get data from data sources
                                  • 1. Connect to data sources (files, databases, cloud services)
                                    • 2. Select appropriate storage modes (Import, DirectQuery, Composite)
                                      - Clean and transform data
                                      • 1. Use Power Query Editor for data shaping
                                        • 2. Handle missing, duplicate, and inconsistent data

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