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Microsoft Analyzing Data with Microsoft Power BI : DA-100

DA-100

Exam Code: DA-100

Exam Name: Analyzing Data with Microsoft Power BI

Updated: Sep 05, 2026

Q & A: 150 Questions and Answers

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Pass4test DA-100 Exam Features

2. Data Model (25-30%):

The main domains of this section are:

  • Model performance optimization: This module will measure your competence in enhancing cardinality levels through changing data types and summarization. It will also evaluate your skills in eliminating unnecessary columns and rows, creating and managing aggregations, and identifying poorly performing visuals, measures, and relationships.
  • Creation of measures with DAX: The applicants should be able to utilize DAX in building multifaceted measures, use CALCULATE to maneuver filters, and utilize the fundamental statistical functions for enhancing data. This domain also requires their skills in creating semi-additive measures and implementing Time Intelligence with DAX.
  • Data model development: This objective requires one’s ability to create hierarchies, calculated tables, and calculated columns. It also covers your skills in establishing Q&A features, implementing row-level security functions, and applying security filtering and cross-filter direction.
  • Data model design: The learners need to have competence in defining tables, role-playing dimensions, quick measures, and cross-filter direction & relationship cardinality. The topic also requires their skills in designing a data model to fulfill the performance prerequisites, creating common data tables, and solving many-to-many relationships.

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

About Data Analyst Associate and Who It Is Intended for

The Microsoft Certified: Data Analyst Associate is earned by passing DA-100 and is a role-based intermediate-level certification that falls under the Microsoft Power Platform certification hierarchy and authenticates the data analyst's expertise in utilizing Microsoft Power BI in maximizing the businesses' data assets value. The earner of this certificate will be competent to design and develop scalable data models along with cleaning and transformation of data to provide business values through data visualizations. Overall, this certification will be beneficial for data analysts in broadening their technological prowess and the values that they provide for businesses.

About Exam DA-100: Analyzing Data with Microsoft Power BI

The Microsoft DA-100 test is for those individuals who have at least some experience in working with Power Bi although it is not a strict requirement but a recommendation. In addition, the applicant should have some experience in the concepts of scaling data models, data visualizations, data cleaning, and data processing. When it comes to the test details, DA-100 exam is available in English, Chinese (Simplified), Korean, Japanese and will require $165 for registration. The registered candidate can use the Pearson VUE platform for scheduling an exam. In the final test, individuals will experience around 40-60 items that will have to be solved in 3 hours.

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Microsoft DA-100 Exam Syllabus Topics:
SectionWeightObjectives
Analyze the data15%- Perform advanced analysis
  • 1. Use the Analyze feature
  • 2. Use advanced analytical custom visuals
  • 3. Perform What-if analysis
  • 4. Identify outliers
- Enhance reports for usability and storytelling
  • 1. Edit and configure interactions between visuals
  • 2. Group and layer visuals
  • 3. Configure bookmarks
  • 4. Create custom tooltips
  • 5. Configure navigation for a report
  • 6. Apply sorting
  • 7. Configure sync slicers
Prepare the data20%- 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
- Get data from different data sources
  • 1. Select a shared dataset or create a local dataset
  • 2. Select a storage mode
  • 3. Identify and connect to a data source
  • 4. Change data source settings
  • 5. Choose an appropriate Power BI data source
- Transform and load the data
  • 1. Design a star schema
  • 2. Select appropriate column data types
  • 3. Create and transform columns
  • 4. Define relationship cardinality and cross-filter direction
  • 5. Create and transform tables
- Profile the data
  • 1. Examine data structures
  • 2. Identify data anomalies
  • 3. Interpret data distribution and variance
Deploy and maintain deliverables10%- Manage datasets
  • 1. Provide access to datasets
  • 2. Configure cross-workspace sharing
  • 3. Configure a dataset scheduled refresh
  • 4. Configure row-level security group membership
- Create and manage workspaces
  • 1. Create and configure a workspace
  • 2. Assign workspace roles
  • 3. Configure and update a workspace app
Model the data30%- Develop a data model
  • 1. Create hierarchies
  • 2. Create calculated tables
  • 3. Implement row-level security roles
  • 4. Create calculated columns
- Design a data model
  • 1. Define a relationship's cross-filter direction and security filtering
  • 2. Design and implement role-playing dimensions
  • 3. Define the tables
  • 4. Define quick measures
  • 5. Configure table and column properties
- Create measures by using DAX
  • 1. Use DAX aggregation functions
  • 2. Use DAX logical functions
  • 3. Create calculated measures
  • 4. Create semi-additive measures
  • 5. Implement Time Intelligence using DAX
- 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
Visualize the data25%- Enforce accessibility
  • 1. Configure tab order
  • 2. Use accessibility features
  • 3. Design accessible reports
- Create reports
  • 1. Add visualization items to reports
  • 2. Create and manage bookmarks
  • 3. Apply slicing and filtering
  • 4. Choose an appropriate visualization type
  • 5. Import a custom visual
  • 6. Format and configure visualizations
  • 7. Configure conditional formatting
- Create dashboards
  • 1. Set mobile view
  • 2. Manage tiles on a dashboard
  • 3. Use the Q&A feature
  • 4. Configure data alerts
DA-100 Related Exams
DA-100-Deutsch - Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
DA-100J - Analyzing Data with Microsoft Power BI (DA-100日本語版)
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