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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 31, 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 31, 2026
  • Q & A: 150 Questions and Answers
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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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Certification Path for Exam DA-100: Analyzing Data with Microsoft Power BI

Analyzing Data with Microsoft Power BI is a fundamental exam and there are no pre-requisites. Successful candidates will get Microsoft Certified: Data Analyst Associate title.

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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.

How can you prepare for the Microsoft DA-100 exam to succeed?

The candidates can explore various resources to prepare for the Microsoft DA-100 exam. The Microsoft Learning Platform offers many study tools that the learners can use to achieve success in their test. The first step in the preparation process is to go over the detailed exam topics. After that, you can choose your resources carefully. Here are the official recommended materials for the DA-100 test:

  • Instructor-Led Training

    Microsoft recommends the Analyzing Data with Power BI training course for the candidates taking the DA-100 test. This training focuses on different best practices and methods associated with the technical and business requirements for visualizing, analyzing, and modeling data with Power BI. The individuals will learn how to process and access data from different data sources, including non-relational and relational data.

  • Free Online Training

    The applicants who prefer self-paced study can explore the learning paths for the Microsoft DA-100 exam. There are six learning paths for this certification test, including Getting Started with Microsoft Data Analytics, Prepare Data for Analysis, Model Data in Power BI, and Visualize Data in Power BI, among others. Each path contains different modules that address particular topics of the exam.

  • Books

    The recommended book resource for this test is Exam Ref: DA-100 Analyzing Data with Microsoft Power BI by Daniil Maslyuk. This is a professional-level resource to help the learners optimize their performance in the test and improve their skills. The book can be found on the Microsoft Press Store.

  • Practice Test

    Microsoft also offers the official practice test for Microsoft DA-100. The exam questions cover all the objectives of the actual test. This means that you will be well prepared for any questions that may be administered in the exam.

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Microsoft DA-100日本語 Exam Syllabus Topics:

SectionWeightObjectives
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)
          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. Design interactive reports in Power BI Desktop
                        • 2. Use visuals such as charts, maps, and tables
                          Model the data25-30%- Create calculated columns and measures
                          • 1. Use DAX for calculations
                            • 2. Optimize model performance
                              - Design data models
                              • 1. Design star and snowflake schemas
                                • 2. Create relationships between tables
                                  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

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