Exam Code: DA-100
Exam Name: Analyzing Data with Microsoft Power BI
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified: Data Analyst Associate
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For more info about Exam DA-100: Analyzing Data with Microsoft Power BI

Exam DA-100: Analyzing Data with Microsoft Power BI

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

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

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