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Last Updated: Sep 21, 2026

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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 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日本語 Exam Syllabus Topics:

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