Glue Data Quality Quiz

5 questions • Pass: 70% • +25 pts

Quiz covering Data Integrity

Glue Data Quality 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

    What is the primary purpose of using AWS Glue Data Quality for your ETL pipelines?

  2. 2

    You want to ensure that a column named 'customer_age' never contains negative values. Which AWS Glue Data Quality rule type is most appropriate?

  3. 3

    Which of the following describes the behavior of 'Data Quality Action' when a rule fails during a Glue job?

  4. 4

    When configuring AWS Glue Data Quality, why might you choose to use a 'Recommendation Run' before implementing your final ruleset?

  5. 5

    You are performing a join between two large datasets in Glue. You notice that joining on a 'user_id' field results in unexpected nulls. Which complex Data Quality rule would best identify if the join key has referential integrity issues?