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Answer: Map state
The Map state in AWS Step Functions is designed to run a set of steps for each element of an input array concurrently. This makes it the ideal choice for parallel processing a large collection of items (such as data files) dynamically. The Parallel state executes a fixed number of predetermined branches, making it unsuitable for a dynamic collection of data files.
Author: Ritesh Yadav
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Question 9
A data engineer needs to use AWS Step Functions to design an orchestration workflow. The workflow must parallel process a large collection of data files and apply a specific transformation to each file. Which Step Functions state should the data engineer use to meet these requirements?
A
Parallel state
B
Choice state
C
Map state
D
Wait state
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