Which of the following benefits is provided by the array functions from Spark SQL?

The correct answer is D. An ability to work with complex, nested data ingested from JSON files. Spark SQL array functions (e.g., array_contains, explode, flatten, array_distinct, transform) are specifically designed to work with array-type columns, which are the natural result of ingesting complex, nested JSON data where fields may contain arrays of objects or values…

Submitted by femi9· Apr 18, 2026ELT with Spark SQL and Python

Question

Which of the following benefits is provided by the array functions from Spark SQL?

Options

AAn ability to work with data in a variety of types at once
BAn ability to work with data within certain partitions and windows
CAn ability to work with time-related data in specified intervals
DAn ability to work with complex, nested data ingested from JSON files
EAn ability to work with an array of tables for procedural automation

How the community answered

(40 responses)

C
3% (1)
D
93% (37)
E
5% (2)

Explanation

Spark SQL array functions (e.g., array_contains, explode, flatten, array_distinct, transform) are specifically designed to work with array-type columns, which are the natural result of ingesting complex, nested JSON data where fields may contain arrays of objects or values. Window functions handle partitions/windows (B), date functions handle time intervals (C), and array functions have nothing to do with procedural table automation (E) or multi-type handling (A).

Topics

#Spark SQL functions#Array functions#Nested data#Semi-structured data

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