Data Granularity Quiz

Quiz covering Optimize Model Performance

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   What does the term 'data granularity' refer to in the context of data modeling?

2. 2

   If you are designing a sales reporting model, which of the following represents the highest level of granularity?

3. 3

   Why is it generally recommended to keep fact tables at the lowest possible grain during the initial modeling phase?

4. 4

   You notice your model is performing slowly because users are performing complex calculations on millions of rows of atomic data. What is an appropriate optimization strategy regarding granularity?

5. 5

   Consider a scenario where you have a 'Sales' fact table at the transaction level and a 'Budget' table at the monthly product category level. How should you handle the granularity mismatch when building a report that compares Sales vs Budget?