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Last Updated: Aug 30, 2026

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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:

  • 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.

  • 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.

  • 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.

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

Useful Training Courses to Pass DA-100

To help candidates prepare fully and achieve the best possible result in DA-100, Microsoft provides an official four-day instructor-led training named ‘Course DA-100T00-A: Analyzing Data with Power BI’. It has 13 modules, each focusing on a different area that will be assessed in the exam. Along with each section, there are lab exercises that give candidates the opportunity to apply what they learnt during the sessions. After completing this training, the applicants will be able to analyze technical reports, use Power BI to make paginated reports, handle & distribute report assets, and draw up reports for data analysis. Also, they will be able to effectively enhance, polish, transform, and structure data in a way that facilitates the performance of the business.

However, not everyone can participate in this program as there are certain prerequisites. For instance, learners must be acquainted with the concepts of working with data in the cloud, know how to interact with non-relational and relational data in the cloud, be familiar with the virtualization basics, and finally, understand how to carry out data analysis. If a candidate is missing these necessary requirements, then they can obtain them by first going through the ‘Microsoft Azure Data Fundamentals’ training course and then enrolling in this one.

Moreover, note that the vendor also provides six learning paths for self-study. They are completely free and can be a good first step in your revision for the exam. These modules cover different data analysis areas, such as the use of Power BI, visualization, workspaces’ management, and many more.

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Microsoft DA-100日本語 Exam Syllabus Topics:

SectionWeightObjectives
Deploy and maintain deliverables10%- Manage datasets
  • 1. Configure a dataset scheduled refresh
  • 2. Provide access to datasets
  • 3. Configure row-level security group membership
  • 4. Configure cross-workspace sharing
- Create and manage workspaces
  • 1. Create and configure a workspace
  • 2. Assign workspace roles
  • 3. Configure and update a workspace app
Prepare the data20%- Profile the data
  • 1. Examine data structures
  • 2. Identify data anomalies
  • 3. Interpret data distribution and variance
- Clean the data
  • 1. Resolve data import errors
  • 2. Resolve inconsistencies, unexpected or null values, and data quality issues
  • 3. Evaluate data, including data statistics and column properties
- Transform and load the data
  • 1. Create and transform tables
  • 2. Create and transform columns
  • 3. Define relationship cardinality and cross-filter direction
  • 4. Design a star schema
  • 5. Select appropriate column data types
- Get data from different data sources
  • 1. Identify and connect to a data source
  • 2. Choose an appropriate Power BI data source
  • 3. Select a storage mode
  • 4. Select a shared dataset or create a local dataset
  • 5. Change data source settings
Visualize the data25%- Create reports
  • 1. Add visualization items to reports
  • 2. Create and manage bookmarks
  • 3. Configure conditional formatting
  • 4. Format and configure visualizations
  • 5. Choose an appropriate visualization type
  • 6. Apply slicing and filtering
  • 7. Import a custom visual
- Enforce accessibility
  • 1. Configure tab order
  • 2. Use accessibility features
  • 3. Design accessible reports
- Create dashboards
  • 1. Set mobile view
  • 2. Configure data alerts
  • 3. Manage tiles on a dashboard
  • 4. Use the Q&A feature
Analyze the data15%- Perform advanced analysis
  • 1. Use the Analyze feature
  • 2. Use advanced analytical custom visuals
  • 3. Identify outliers
  • 4. Perform What-if analysis
- Enhance reports for usability and storytelling
  • 1. Create custom tooltips
  • 2. Group and layer visuals
  • 3. Configure sync slicers
  • 4. Configure bookmarks
  • 5. Edit and configure interactions between visuals
  • 6. Configure navigation for a report
  • 7. Apply sorting
Model the data30%- Develop a data model
  • 1. Create calculated columns
  • 2. Create calculated tables
  • 3. Implement row-level security roles
  • 4. Create hierarchies
- Create measures by using DAX
  • 1. Use DAX logical functions
  • 2. Use DAX aggregation functions
  • 3. Implement Time Intelligence using DAX
  • 4. Create calculated measures
  • 5. Create semi-additive measures
- Optimize model performance
  • 1. Optimize Power Query transformations
  • 2. Improve performance by identifying and removing unnecessary rows and columns
  • 3. Improve performance by choosing optimal data types
- Design a data model
  • 1. Define quick measures
  • 2. Define the tables
  • 3. Configure table and column properties
  • 4. Define a relationship's cross-filter direction and security filtering
  • 5. Design and implement role-playing dimensions
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