Databricks Data Engineer Associate Question 171
Single answerA data engineer is working with a column in a Delta table that contains arrays of integers. The engineer needs to find the maximum value in each array for downstream analysis. Which of the following describes a key benefit of using Databricks' built-in array functions to achieve this?
- A
Array functions in Databricks automatically parallelize operations across clusters, improving performance.
- B
Array functions simplify complex data transformations by providing a concise syntax for array manipulation.
- C
Array functions allow the creation of custom user-defined functions (UDFs) for array processing.
- D
Array functions in Databricks can only be used for arrays of strings, not integers.
Show answer and explanation
Correct answer: B
Explanation
Databricks' built-in array functions are highly beneficial because they simplify the process of working with arrays in a concise and declarative manner. For tasks like finding the maximum value in an array, these functions eliminate the need for complex logic or custom UDFs, making the code more readable and efficient.
- A. Incorrect.
Although Databricks does provide optimized performance, array functions themselves do not inherently perform parallelization across clusters. This is handled by the Databricks engine.
- B. Correct.
This is correct. Array functions in Databricks provide simple and declarative syntax for working with array data types, reducing the need for manual and complex coding.
- C. Incorrect.
This is incorrect. Array functions are pre-built and optimized for common array operations, and they do not involve creating custom UDFs.
- D. Incorrect.
This is incorrect. Array functions in Databricks are versatile and support arrays of various data types, including integers, strings, and more.