Microsoft DA-100 : Analyzing Data with Microsoft Power BI

DA-100 real exams

Exam Code: DA-100

Exam Name: Analyzing Data with Microsoft Power BI

Updated: Jul 28, 2026

Q & A: 150 Questions and Answers

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Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Prepare the data

The following will be discussed in MICROSOFT DA-100 exam dumps:

  • Change data source settings
  • Use Microsoft Dataverse
  • Resolve inconsistencies, unexpected or null values, and data quality issues
  • Use or create a data flow
  • Identify and create appropriate keys for joins
  • Evaluate and transform column data types
  • Use parameters
  • Identify data anomalies
  • Apply user-friendly value replacements
  • Identify and connect to a data source
  • Apply data shape transformations to table structures
  • Use or create a PBIDS file
  • Identify query performance issues
  • Leverage Advanced Editor to modify Power Query M code
  • Select a storage mode
  • Select a shared dataset or create a local dataset
  • Choose an appropriate query type
  • Examine data structures
  • Apply user-friendly naming conventions to columns and queries
  • Combine queries
  • Resolve data import errors
  • Interrogate column properties
  • Configure data loading
  • Interrogate data statistics

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.

  • 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.

  • 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.

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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.

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

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Difficulty in Attempting Exam DA-100: Analyzing Data with Microsoft Power BI

However, if you would like to use different source data/tables in the same project, link them together and perform transformations on the data in Power BI as well, then the level of difficulty increases. Learning this will take of course more time. What we believe will also help is to get a general understanding of how data cleansing works and data integration in general. We offer MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test for this purpose.

Analyzing Data with Microsoft Power BI Certification helps candidates in developing their professionals and academic career and it is a very tough task to pass Microsoft DA-100 exam for those candidates who have not done hard work and get some relevant Microsoft DA-100 exam preparation material. There are many peoples have passed Microsoft DA-100 exam by following these three things such as look for the latest Microsoft DA-100 exam dumps, get relevant MICROSOFT DA-100 exam dumps and develop their knowledge about Microsoft DA-100 exam new questions. At the same time, it can also stress out some people as they found passing Microsoft DA-100 exam a tough task. It is just a wrong assumption as many of the peoples have passed Microsoft DA-100 exam questions. All you have to do is to work hard, get some relevant Microsoft DA-100 exam preparation material and go thoroughly from them.

Compared to other visualization tools we would recommend that Power BI is quite user friendly and is relatively easy to learn. What also contributes to this is that the Power BI desktop version is available for free, resulting in a pretty large user base on the internet, which is beneficial to your learning curve, as in our experience answers to particular questions can be found easily most of the times.

Microsoft DA-100 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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. Select appropriate storage modes (Import, DirectQuery, Composite)
        • 2. Connect to data sources (files, databases, cloud services)
          Topic 2: 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. Configure dataset refresh schedules
                • 2. Publish reports to Power BI Service
                  Topic 3: Analyze the data10-15%- Analyze data patterns
                  • 1. Identify trends and outliers
                    • 2. Use AI visuals and quick insights
                      - Perform advanced analytics
                      • 1. Apply statistical measures in reports
                        • 2. Use DAX time intelligence functions
                          Topic 4: Visualize the data25-30%- Create reports
                          • 1. Use visuals such as charts, maps, and tables
                            • 2. Design interactive reports in Power BI Desktop
                              - Enhance reports
                              • 1. Apply filters, slicers, and drill-through
                                • 2. Use bookmarks and navigation elements
                                  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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