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: Sep 04, 2026

Q & A: 150 Questions and Answers

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About Microsoft DA-100 Exam

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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.

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Exam Topics for Exam DA-100: Analyzing Data with Microsoft Power BI

The following will be discussed in MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test:

  • Analyze the data
  • Model the data
  • Deploy and maintain deliverables
  • Visualize the data
  • Prepare the data

What should you know about the Microsoft DA-100 exam before going for it?

The intended candidates for the Microsoft DA-100 exam are Data Analysts. These professionals help the organizations make the most of the value of data assets through the use of Microsoft Power BI. They also collaborate with the major stakeholders across the company to deliver the appropriate insights based on the recognized business prerequisites.

Microsoft DA-100 is an associate-level certification test, and as such, it does not have any official prerequisites. However, Microsoft recommends that the students have a good fundamental knowledge of data processing and data repositories both in Cloud and on-premises. The candidates for the exam should have the relevant skills in building and designing scalable data models, facilitating advanced analytic abilities, and transforming and cleaning data to provide significant business value through understandable data visualizations.

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

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How to Register For Exam DA-100: Analyzing Data with Microsoft Power BI?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=DA-100&examname=Exam%20DA-100:%20Analyzing%20Data%20with%20Microsoft%20Power%20BI&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fda-100

Microsoft DA-100 Exam Syllabus Topics:

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

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