DataBrew Quality Rules Quiz

Quiz covering Data Quality

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 best describes the primary purpose of a DataBrew quality rule?

2. 2

   You need to ensure that a 'Customer_ID' column never contains null values. Which rule type is most appropriate for this requirement?

3. 3

   When configuring a rule to validate that an 'Email' column follows a standard format (e.g., user@domain.com), which rule type should you use?

4. 4

   What happens when a row in your dataset fails a DataBrew quality rule defined with a 'fail' threshold?

5. 5

   You have a dataset where a 'Status' column must only contain the values 'Active', 'Pending', or 'Closed'. If you use the 'Is in set' rule, what is the impact of adding a 'Strict' validation parameter?