Remove Unnecessary Data Quiz

5 questions Pass: 70% +25 pts

Quiz covering Optimize Model Performance

Remove Unnecessary Data Quiz

5 questions | Pass: 70% | Earn 25 points

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

    Which of the following is the primary benefit of removing unnecessary columns from a dataset before loading it into a model?

  2. 2

    When analyzing a large fact table for optimization, which column type is the best candidate for removal?

  3. 3

    You have a table containing both 'OrderDate' and 'OrderDateTime'. You only need to report at the day level. What is the most efficient approach to optimize this model?

  4. 4

    A developer identifies that a 'Description' column with long text strings is taking up significant space in the model but is rarely used. What is the recommended strategy?

  5. 5

    In a star schema, you have a large fact table with a 'Comments' field. After auditing, you find that 95% of the values are null and the column is never queried. What is the most efficient way to optimize?