In Power BI data modeling, Star Schema and Snowflake Schema are two common ways to structure relational data for analysis. A Star Schema has a central fact table connected directly to dimension tables, while a Snowflake Schema normalizes dimensions into multiple related tables. Understanding their differences helps in optimizing performance and simplifying reports.
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Which schema type is generally simpler for Power BI users to understand?
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Question 4 of 15
4. Question
Which schema type usually offers better performance in Power BI?
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Question 5 of 15
5. Question
In a Snowflake Schema, why are dimension tables split further?
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Question 6 of 15
6. Question
Which schema is better suited for self-service BI users?
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Question 7 of 15
7. Question
In Star Schema, dimension tables are generally:
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Question 8 of 15
8. Question
Which schema might result in more complex relationships in Power BI?
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Question 9 of 15
9. Question
A key advantage of Snowflake Schema over Star Schema is:
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Question 10 of 15
10. Question
Which schema generally requires more joins in queries?
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Question 11 of 15
11. Question
Which schema type is typically preferred in Power BI for performance and simplicity?
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Question 12 of 15
12. Question
In Snowflake Schema, how are surrogate keys used?
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Question 13 of 15
13. Question
Which schema design is more storage-efficient?
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Question 14 of 15
14. Question
In Power BI, which schema generally has fewer relationship lines in Model View?
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Question 15 of 15
15. Question
A main drawback of Snowflake Schema in Power BI is:
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Summary
These Star Schema vs Snowflake Schema MCQs cover the differences in structure, performance, complexity, and usability within Power BI. While Star Schema is generally preferred for speed and simplicity, Snowflake Schema offers better normalization and maintenance benefits in certain use cases.
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