Data modeling in Power BI is the process of organizing and structuring data for analysis by defining relationships, creating measures, and optimizing tables for reporting. A well-designed Power BI data model ensures faster performance, accurate calculations, and meaningful visualizations.
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What is the primary purpose of data modeling in Power BI?
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Question 2 of 15
2. Question
In Power BI, data models are usually built using which schema type?
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Question 3 of 15
3. Question
Which view in Power BI Desktop is used to create and manage relationships?
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Question 4 of 15
4. Question
In a star schema, what type of tables are at the center?
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Question 5 of 15
5. Question
Which key type is used to connect two tables in a relationship?
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Question 6 of 15
6. Question
What does a one-to-many (1: ) relationship mean?
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Question 7 of 15
7. Question
Which cross filter direction is preferred in most star schema models?
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Question 8 of 15
8. Question
What is a calculated column in Power BI data modeling?
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Question 9 of 15
9. Question
What is the main difference between a calculated column and a measure?
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Question 10 of 15
10. Question
Which relationship cardinality is NOT supported in Power BI?
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Question 11 of 15
11. Question
Why is it important to avoid unnecessary columns in a data model?
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Question 12 of 15
12. Question
What is a dimension table?
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Question 13 of 15
13. Question
Which Power BI feature checks for potential relationship issues?
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Question 14 of 15
14. Question
In Power BI, what is meant by a composite model?
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Question 15 of 15
15. Question
Why is data modeling considered the backbone of Power BI reports?
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Summary
These Introduction to Data Modeling in Power BI MCQs explain how relationships, fact and dimension tables, schemas, and calculated elements form the foundation of efficient reporting. Mastering data modeling ensures accurate insights and optimal performance in Power BI.
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