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Real Microsoft DA-100 practice exam questions for easy pass!

Updated: Jul 26, 2026

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Requirements

The Microsoft DA-100: Analyzing Data with Microsoft Power BI test does not have any official prerequisite. However, the applicants must understand the content of the exam topics. They also need to have fundamental knowledge of data processing and data repositories in Cloud and on-premises.

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

Microsoft DA-100 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Analyzing Data with Microsoft Power BI
Exam Number:DA-100
Available Languages:English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Chinese (Traditional), Italian
Certificate Validity Period:Certification valid for one year, renewable
Exam Duration:120 minutes
Related Certifications:Microsoft Certified: Data Analyst Associate
Passing Score:700
Exam Price:USD 165
Exam Format:Multiple choice, Multiple response, Drag and drop, Case study, Build list
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/

More about DA-100 Exam

This test focuses on technical domains such as structuring data, using DAX to create measures, making a data model, acquiring data from numerous sources, and preparing and analyzing data. Also, it checks one’s skills in interpreting reports, revealing data insights, forming dashboards, visualizing data, handling datasets, and lastly, incorporating and maintaining deliverables. The registration fee for DA-100 is $165. The test is available in numerous languages including Japanese, Chinese, Korean, and English. DA-100 can be taken at local physical centers or online under proctored conditions.

Microsoft DA-100 Exam Syllabus Topics:

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

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