Microsoft Analyzing Data with Microsoft Power BI : DA-100

  • Exam Code: DA-100
  • Exam Name: Analyzing Data with Microsoft Power BI
  • Updated: Sep 02, 2026
  • Q&As: 150 Questions and Answers

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About Microsoft DA-100 Real Exam

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Exam Details

Microsoft DA-100 is an associate-level certification exam, which means that irrespective of your current hands-on experience in the subject area, you can still work towards passing this test and obtaining the certificate. All you need is a thorough understanding of the exam topics and diligent preparation.

The DA-100 exam contains 40-60 questions, covering different types, such as case studies, multiple choice, drag and drop, active screen, and build list, among others. This test can be scheduled using Pearson VUE, the official administrator of the Microsoft certification exams. When you are ready to register for this test, you have to pay the fee of $165. This applies to a single sitting for the exam. If you do not get the required passing score that is 720 points, you must pay a new fee to retake the test.

Conclusion: Getting Microsoft Certified Is Challenging But Possible!

The Microsoft Certified: Data Analyst Associate certificate will help secure a career as a data analyst, which will come with it a high paycheck and different career opportunities. However, achieving this certification won’t be easy as one needs to overcome DA-100 (Analyzing Data with Microsoft Power BI) exam. But, with a huge number of study guides available on Amazon and the official MS training course, passing this test is going to be that much easier.

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

Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Prepare the data

The following will be discussed in MICROSOFT DA-100 exam dumps:

  • Identify and create appropriate keys for joins
  • Use or create a data flow
  • Identify and connect to a data source
  • Choose an appropriate query type
  • Resolve inconsistencies, unexpected or null values, and data quality issues
  • Combine queries
  • Resolve data import errors
  • Select a shared dataset or create a local dataset
  • Apply user-friendly naming conventions to columns and queries
  • Interrogate data statistics
  • Select a storage mode
  • Interrogate column properties
  • Apply data shape transformations to table structures
  • Use or create a PBIDS file
  • Identify query performance issues
  • Evaluate and transform column data types
  • Use Microsoft Dataverse
  • Use parameters
  • Identify data anomalies
  • Change data source settings
  • Leverage Advanced Editor to modify Power Query M code
  • Configure data loading
  • Apply user-friendly value replacements
  • Examine data structures

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The Microsoft DA-100: Analyzing Data with Microsoft Power BI exam measures the capability of the individuals to complete certain technical tasks. These include preparing data, visualizing data, modeling data, analyzing data, and maintaining and deploying deliverables. This is the only test that is required to earn the Microsoft Certified: Data Analyst Associate certification.

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Microsoft DA-100 Exam Syllabus Topics:

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

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