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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 Model the data
The following will be discussed in MICROSOFT DA-100 exam dumps:
- Use basic statistical functions to enhance data
- Define role-playing dimensions
- Replace numeric columns with measures
- Flatten out a parent-child hierarchy
- Remove unnecessary rows and columns
- Create semi-additive measures
- Create calculated columns
- Create hierarchies
- Define quick measures
- Define the appropriate level of data granularity
- Set up the Q&A feature
- Create measures by using DAX
- Use DAX to build complex measures
- Use CALCULATE to manipulate filters
- Improve cardinality levels by changing data types
- Optimize model performance
- Improve cardinality levels through summarization
- Design the data model to meet performance requirements
- Identify poorly performing measures, relationships, and visuals
- Create a common date table
- Create calculated tables
- Define a relationship's cardinality and cross-filter direction
- Define the tables
- Apply cross-filter direction and security filtering
- Configure table and column properties
- Design a data model
- Implement row-level security roles
- Develop a data model
- Implement Time Intelligence using DAX
- Create and manage aggregations
- Resolve many-to-many relationships
Microsoft DA-100 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model the data | 25-30% | - Create calculated tables and columns - Optimize model performance - Create measures using DAX - Design and develop data models |
| Topic 2: Prepare the data | 20-25% | - Get data from different sources - Profile and examine data - Clean, transform, and load data |
| Topic 3: Deploy and maintain deliverables | 10-15% | - Configure refresh and security - Share and distribute content - Manage workspaces and datasets |
| Topic 4: Analyze the data | 10-15% | - Identify patterns and trends - Perform advanced analysis - Apply AI visuals and insights |
| Topic 5: Visualize the data | 20-25% | - Enrich reports for usability - Apply filters, slicers, and formatting - Create reports and dashboards |
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