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Microsoft DA-100

DA-100

Exam Code: DA-100

Exam Name: Analyzing Data with Microsoft Power BI

Updated: Sep 13, 2026

Q & A: 150 Questions and Answers

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About Microsoft DA-100 Exam

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DA-100 exam dumps

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:

  • ‘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.
  • ‘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.
  • ‘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.
  • ‘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.

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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.

Ideal Audience and Required Skills

DA-100 is intended for data analysts who use MS Power BI to enhance the value of the data their organization holds. These professionals are responsible for polishing and transforming data, creating expandable data models, and performing data visualizations that can be interpreted and analyzed to withdraw critical information. Data analysts also work alongside other stakeholders of the business to provide relevant data according to their company’s requirements. Thus, a strong prior understanding of both cloud & on-premises data processing and data repositories is also required by those specialists who are going to take test DA-100.

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

4. Data Analysis (10-15%):

This section requires your skills in:

  • Caring out advanced analysis: This subject area covers your skills in identifying outliers, using binnings & groupings, conducting Time Series Analysis, and applying AI Insights. The students should also have competence in using decomposition tree visuals to dissect a measure and use Key Influencers for the exploration of dimensional variances.
  • Enhancing reports to expose insights: The candidates should have the expertise in personalizing visuals, applying filters & slicers and conditional formatting. They also need to demonstrate their skills in exploring statistical summary, creating reference lines with Analytics pane, and using Q&A visuals, among others.

Microsoft DA-100 Exam Syllabus Topics:

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

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