In Power BI data modelling, relationships define how tables connect using matching columns. The three main types are One-to-One (1:1), One-to-Many (1:*), and Many-to-Many (:). Understanding these relationship types helps you build efficient models, manage filters, and ensure accurate data analysis across reports.
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Which relationship type is most common in Star Schema models?
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Question 5 of 15
5. Question
In One-to-Many relationships, which table contains the unique values?
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Question 6 of 15
6. Question
Which relationship type can create ambiguity in filtering if not handled carefully?
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Question 7 of 15
7. Question
What symbol represents the ‘many’ side of a relationship in Power BI?
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Question 8 of 15
8. Question
Which scenario is best suited for a One-to-One relationship?
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Question 9 of 15
9. Question
Why is One-to-Many preferred over Many-to-Many in Power BI models?
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Question 10 of 15
10. Question
How can you handle Many-to-Many relationships in Power BI?
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Question 11 of 15
11. Question
In a One-to-One relationship, what must be true for both tables?
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Question 12 of 15
12. Question
Which relationship type is least common in Power BI?
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Question 13 of 15
13. Question
What is the main challenge with Many-to-Many relationships?
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Question 14 of 15
14. Question
Which relationship type is automatically created when both tables have unique keys in the related column?
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Question 15 of 15
15. Question
In Power BI diagrams, what does the ‘1’ symbol indicate?
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Summary
These One-to-One, One-to-Many, and Many-to-Many relationship MCQs help you understand cardinality in Power BI data modelling. Mastering these relationship types ensures accurate filtering, optimal performance, and better report insights.
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