Microsoft DA-100 Exam Collection - Analyzing Data with Microsoft Power BI

Updated: Sep 15, 2026
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About Microsoft DA-100 Exam

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This certification exam covers a range of skills that the applicants need to develop competency in before sitting for it. These skills are broken into topics and subtopics. Here are the highlights of the subject areas covered in Microsoft DA-100:

  • Maintain & Deploy Deliverables: 10-15%

    The applicants for the Microsoft DA-100 exam should also have competence in managing datasets. This involves configuring datasets scheduled refresh, certifying or promoting Power BI content, and providing access to the datasets. The learners also need to have the skills in creating and managing workspaces, creating and configuring workspaces, assigning workspace roles, and using deployment pipelines.

  • Analyze Data: 10-15%

    This part will measure the competence of the students in improving reports to reveal insights. These include competence in applying conditional formatting, personalizing visuals, exploring statistical summary, and using Q&A visuals. It will also evaluate their skills in performing advanced analysis.

  • Model Data: 25-30%

    This topic equips the candidates with the skills and knowledge on how to design the data model. The questions from this subject area will measure their expertise in defining tables, quick measures, role-playing dimensions, cross-filter direction and relationship’s cardinality, and precise level of data granularity. It will also measure competence in the development of data models, creation of measures with the use of DAX, and optimization of model performance.

  • Visualize Data: 20-25%

    Within this domain, the examinees should possess the ability to create reports because the certification test will measure their capability to perform the technical tasks in this area. They will also need to demonstrate their skills in creating dashboards, including setting mobile view, using Q&A features, managing tiles on dashboards, and configuring data classification. The individuals should also be able to improve reports for usability. They will be required to demonstrate their skills in configuring bookmarks, applying to sort, creating custom tooltips, exporting report data, and configuring Sync Slicers.

  • Prepare Data: 20-25%

    This section of the certification exam will evaluate the ability of the candidates to acquire data from various data sources. They also must be able to profile data, which includes identifying data anomalies and examining data structure. It also requires interrogating data statistics and column properties. In addition, the test takers should have competence in cleaning, transforming, and loading the data. This involves resolving inconsistencies, identifying the relevant keys for joins, combining queries, and resolving data import errors.

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What is the cost of Exam DA-100: Analyzing Data with Microsoft Power BI

The cost of Exam DA-100: Analyzing Data with Microsoft Power BI is $165.

  • Length of Examination: 90 minutes
  • Format: Multiple choices, multiple answers
  • Passing Score: 70%
  • Number of Questions: 40

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

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.

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Microsoft DA-100 Exam Syllabus Topics:

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

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