Databricks Data Engineer Associate Question 172
Select 2You are working with a dataset in Databricks containing a column named tags, which stores an array of strings representing metadata tags for each record. You need to extract the first tag from each array and filter out records where the array is empty. Which of the following benefits of using array functions in Databricks would help achieve this task efficiently?
- A
Array functions allow you to directly manipulate array elements without needing to explode the array.
- B
Array functions enable concise and readable code for common operations like accessing specific elements.
- C
Array functions improve performance by avoiding the need for multiple joins.
- D
Array functions automatically handle null or empty arrays without additional logic.
- E
Array functions allow you to perform operations on nested structures using SQL-like syntax.
Show answer and explanation
Correct answers: A, B
Explanation
The ability to manipulate arrays directly and write concise code are key benefits of using array functions in Databricks. These functions simplify common operations like accessing specific elements and filtering arrays, which would otherwise require more complex transformations.
- A. Correct.
Array functions allow direct manipulation of arrays, such as accessing elements or filtering them, which eliminates the need to explode the array into rows.
- B. Correct.
Using array functions simplifies the code, making it easier to write and understand operations like extracting the first element or filtering arrays.
- C. Incorrect.
While array functions are optimized for manipulating arrays, they do not directly replace joins or impact join performance.
- D. Incorrect.
Array functions can handle null values, but handling empty arrays still requires explicit filtering logic depending on the use case.
- E. Incorrect.
Array functions allow operations on arrays, but they are not specifically designed for working with deeply nested structures.