DA-100 exam dumps

Microsoft DA-100 Value Package

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  • Exam Code: DA-100
  • Exam Name: Analyzing Data with Microsoft Power BI
  • No. of Questions: 150 Questions and Answers
  • Updated: Sep 04, 2026

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

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

  • Design a data model
  • Implement Time Intelligence using DAX
  • Design the data model to meet performance requirements
  • Replace numeric columns with measures
  • Create a common date table
  • Set up the Q&A feature
  • Flatten out a parent-child hierarchy
  • Create measures by using DAX
  • Develop a data model
  • Create calculated tables
  • Define the appropriate level of data granularity
  • Define role-playing dimensions
  • Resolve many-to-many relationships
  • Identify poorly performing measures, relationships, and visuals
  • Use CALCULATE to manipulate filters
  • Create calculated columns
  • Improve cardinality levels by changing data types
  • Apply cross-filter direction and security filtering
  • Implement row-level security roles
  • Define the tables
  • Define a relationship's cardinality and cross-filter direction
  • Remove unnecessary rows and columns
  • Use basic statistical functions to enhance data
  • Create and manage aggregations
  • Optimize model performance
  • Configure table and column properties
  • Use DAX to build complex measures
  • Create hierarchies
  • Improve cardinality levels through summarization
  • Create semi-additive measures
  • Define quick measures

Skills measured

  • Analyze the data (10-15%)
  • Visualize the data (20-25%)
  • Prepare the data (20-25%)
  • Model the data (25-30%)
  • Deploy and maintain deliverables (10-15%)

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

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

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

  • Use the decomposition tree visual to break down a measure
  • Apply slicers and filters
  • Perform advanced analysis
  • Personalize visuals
  • Create reference lines by using Analytics pane
  • Explore statistical summary
  • Use the Key Influencers to explore dimensional variances
  • Enhance reports to expose insights
  • Apply conditional formatting
  • Identify outliers
  • Use groupings and binnings
  • Add a Quick Insights result to a report
  • Perform top N analysis
  • Conduct Time Series analysis
  • Use the Q&A visual
  • Apply AI Insights
  • Use the Play Axis feature of a visualization

Those who are ambitious to obtain DA-100 certification mainly include office workers; they expect to reach a higher position and get handsome salary, moreover, a prosperous future. All of these requirements our DA-100 exam materials can meet. Our study materials can help you pass the exam successful. Before you decide to buy our DA-100 exam torrent, please firstly look at the introduction of the features and functions of our product as follow.

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Microsoft DA-100 Exam Syllabus Topics:

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

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