Databricks Data Engineer Associate Question 170
Single answerYou are working with a dataset in Databricks that contains a column called activities storing an array of strings representing user activities (e.g., ['login', 'purchase', 'logout']). You need to identify users who have performed both 'login' and 'purchase'. Which of the following describes a key benefit of using array functions in this scenario?
- A
Array functions allow you to efficiently check for the presence of specific elements within an array.
- B
Array functions automatically flatten nested arrays into a single column.
- C
Array functions can convert arrays into individual rows for easier querying.
- D
Array functions reduce the need to use loops or iterative constructs in SQL queries.
Show answer and explanation
Correct answer: A
Explanation
Array functions in Databricks provide powerful capabilities for working with arrays, such as checking for specific elements, performing transformations, and aggregations. In this scenario, the ability to efficiently check for the presence of certain activities using built-in functions like array_contains() is the key benefit, as it simplifies the query and enhances performance.
- A. Correct.
Correct. Array functions like
array_contains()allow you to efficiently check for specific elements within an array, which is essential for filtering users who performed both 'login' and 'purchase'. - B. Incorrect.
Incorrect. Flattening nested arrays is not the primary function of array functions; specific transformation operations like
explode()are used for such tasks. - C. Incorrect.
Incorrect. While you can manipulate arrays with certain functions, directly converting arrays into rows is achieved using functions like
explode(), not general array functions. - D. Incorrect.
Incorrect. While array functions do simplify querying, this scenario specifically benefits from the ability to check for the presence of specific elements.