Answer Posted / Sushma Mishra

The FlatMap transformation in Apache Spark RDD applies a user-defined function to each element of an RDD and returns a new RDD containing all the outputs produced by the function. The flatMap operation takes an iterator as input, splits it into smaller lists (each list is called a chunk), and applies the user-defined function to each list. The returned RDD contains all the items resulting from applying the function to individual elements and their corresponding chunks.

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