i thought sql arrays are usually seen in json files read

E is correct

Correct answer is D

D. An ability to work with complex, nested data ingested from JSON files Array functions in Spark SQL enable users to work efficiently with arrays and complex, nested data structures that are often ingested from JSON files or other nested data formats. These functions allow manipulation, querying, and extraction of elements from arrays and nested structures within the dataset, facilitating operations on complex data types within Spark SQL.

Correct answer is D. Array provides complex nesting of data and it is easy to query. That's why we use arrays for definding data domains.

D is correct

D is the correct answer

array functions allow you to work with JSON data

D is right ans

D. An ability to work with complex, nested data ingested from JSON files Array functions in Spark SQL are primarily used for working with arrays and complex, nested data structures, such as those often encountered when ingesting JSON files. These functions allow you to manipulate and query nested arrays and structures within your data, making it easier to extract and work with specific elements or values within complex data formats. While some of the other options (such as option A for working with different data types) are features of Spark SQL or SQL in general, array functions specifically excel at handling complex, nested data structures like those found in JSON files.

Array functions in Spark SQL allow you to work with complex, nested data ingested from JSON files. These functions can be used to extract data from nested structures, manipulate data within nested structures, and aggregate data within nested structures. The other options are not benefits provided by the array functions from Spark SQL. Option A: Array functions do not allow you to work with data in a variety of types at once. Option B: Array functions do not allow you to work with data within certain partitions and windows. Option C: Array functions do not allow you to work with time-related data in specified intervals. Option E: Array functions do not allow you to work with an array of tables for procedural automation. Therefore, the only benefit provided by the array functions from Spark SQL is the ability to work with complex, nested data ingested from JSON files.

Correct answer is D. Spark SQL Array functions allow us to work with nested datasets in JSON files

Option D

Option D

option D

option D

Correct answer is D