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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
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Microsoft DA-100 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Analyze the data | 15% | - 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 data | 25% | - 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 deliverables | 10% | - 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 data | 20% | - 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 data | 30% | - 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
|