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 fil

The correct answer is C. Map state. Map state is designed precisely for the requirement described. It allows you to iterate over a collection of items, processing each item individually. The Map state can automatically manage the iteration and execute the specified transformation on each item in parallel, making it

Data Ingestion and Transformation

Question

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?

Options

AParallel state
BChoice state
CMap state
DWait state

How the community answered

(30 responses)

A
3% (1)
B
10% (3)
C
80% (24)
D
7% (2)

Explanation

Map state is designed precisely for the requirement described. It allows you to iterate over a collection of items, processing each item individually. The Map state can automatically manage the iteration and execute the specified transformation on each item in parallel, making it the perfect choice for parallel processing of a large collection of data files.

Topics

#AWS Step Functions#Workflow Orchestration#Map State#Parallel Processing

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