Microsoft DA-100 - Analyzing Data with Microsoft Power BI

Microsoft DA-100 Actual PDF
  • Exam Code: DA-100
  • Exam Name: Analyzing Data with Microsoft Power BI
  • Updated: Aug 09, 2026
  • Q & A: 150 Questions and Answers
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About Microsoft DA-100 Exam

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More about DA-100 Exam

This test focuses on technical domains such as structuring data, using DAX to create measures, making a data model, acquiring data from numerous sources, and preparing and analyzing data. Also, it checks one’s skills in interpreting reports, revealing data insights, forming dashboards, visualizing data, handling datasets, and lastly, incorporating and maintaining deliverables. The registration fee for DA-100 is $165. The test is available in numerous languages including Japanese, Chinese, Korean, and English. DA-100 can be taken at local physical centers or online under proctored conditions.

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.

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

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The Microsoft DA-100 exam (Analyzing Data with Microsoft Power BI) is intended for data analysts and is the only test required to obtain the Microsoft Certified: Data Analyst Associate certificate.

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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:

  • 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.

  • 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.

  • 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.

  • 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.

Microsoft DA-100 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: 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. Share dashboards with users and groups
                • 2. Implement row-level security (RLS)
                  Topic 3: 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
                          Topic 4: Analyze the data10-15%- Perform advanced analytics
                          • 1. Use DAX time intelligence functions
                            • 2. Apply statistical measures in reports
                              - Analyze data patterns
                              • 1. Identify trends and outliers
                                • 2. Use AI visuals and quick insights
                                  Topic 5: 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

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