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Updated: Sep 14, 2026

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Microsoft DA-100 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Analyzing Data with Microsoft Power BI
Exam Number:DA-100
Available Languages:Italian, Spanish, Chinese (Simplified), Portuguese (Brazil), Chinese (Traditional), Korean, English, Arabic (Saudi Arabia), French, German, Japanese
Exam Format:Multiple response, Build list, Multiple choice, Drag and drop, Case study
Related Certifications:Microsoft Certified: Data Analyst Associate
Exam Price:USD 165
Certificate Validity Period:Certification valid for one year, renewable
Exam Duration:120 minutes
Passing Score:700
Real Exam Qty:40-60
Sample Questions:Microsoft DA-100 Sample Questions
Exam Way:Online (proctored) or Onsite at a Pearson VUE testing center
Pre Condition:Familiarity with data concepts and experience with data analysis
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/data-analyst-associate/

About Exam DA-100: Analyzing Data with Microsoft Power BI

The Microsoft DA-100 test is for those individuals who have at least some experience in working with Power Bi although it is not a strict requirement but a recommendation. In addition, the applicant should have some experience in the concepts of scaling data models, data visualizations, data cleaning, and data processing. When it comes to the test details, DA-100 exam is available in English, Chinese (Simplified), Korean, Japanese and will require $165 for registration. The registered candidate can use the Pearson VUE platform for scheduling an exam. In the final test, individuals will experience around 40-60 items that will have to be solved in 3 hours.

Useful Books to Pass DA-100

Those preparing for DA-100 test can incorporate the following books from Amazon in their learning process to ensure they pass the exam with high scores:

  • ‘Secrets of DA-100 Analyzing Data with Microsoft Power BI’ by Nikhil J. This Kindle e-book is packed with numerous up-to-date questions & answers for the Microsoft DA-100 exam in order to help students score better. By going through this material, the applicants will assess themselves and will understand how well they can apply all the things they learnt in theory. The e-book has a good track record of helping individuals achieve success in DA-100 test.
  • ‘Exam Ref DA-100 Analyzing Data with Microsoft Power BI 1st Edition’ by Daniil Maslyuk. This is the official book issued by Microsoft for its DA-100 test. The guidance offered in this paperback aims to help candidates acquire all the right skills needed for the exam so they will be able to achieve a high score. The book puts great emphasis on real-world issues and problems so the readers will know what to expect when working in the job role of a data analyst. It provides complete coverage of all the tested objectives, and this content is extremely detailed. The material also includes various ‘what if’ scenarios to encourage critical thinking in students and prepare them for the more challenging exam questions.
  • ‘Exam DA-100: Data Analyst Associate 25 Test Prep Questions Version II’ by Ger Arevalo. This guide can act as supplementary material when going through hands-on practice, labs, and classes for DA-100. The intent of this book is to reinforce what you learn, and it is also a good last-minute tool that can help students identify their level of readiness. It will help candidates acquire competencies that will be beneficial when working out in the real world.
  • ‘Learn How to Pass DA-100: Analyzing Data with Microsoft Power BI Exam’. Prepared by Rodrezil Publications, this book compiles advice and tips from candidates who have already passed DA-100 exam and hence offers invaluable first-hand experiences. It also provides the readers with advice from IT experts who know all the ins and outs of the test and know how to deliver this knowledge in an easy-to-understand manner. The goal of this Kindle e-book is to help applicants get over the fear of the exam and pass it on their very first attempt. The material also comes with coupon codes that students can use to take free DA-100 mock tests at Vullam for better preparation and prior self-assessment.

Microsoft DA-100 Practice Test Questions, Microsoft DA-100 Exam Practice Test Questions

The candidates who want to earn the Microsoft Certified: Data Analyst Associate certification must pass one qualifying exam, which is Microsoft DA-100. This test evaluates the ability of the test takers to accomplish specific technical tasks. These include the processes with data, such as analyzing, preparing, maintaining and deploying, visualizing, and modeling.

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

Microsoft DA-100 Exam Syllabus Topics:

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

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