Explanation:
The Map state in AWS Step Functions is specifically designed to process a collection of items (such as a large collection of data files) by running a set of identical steps for each item in parallel. The Parallel state is used to run different, distinct branches of execution concurrently, whereas Map is used for iterating dynamically over a dataset array.
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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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