A data engineer is designing an AWS Step Functions workflow that must process a large collection of files in parallel and apply the same transformation to each file. Which Step Functions state is appropriate for this requirement?

The Map state is ideal for processing a collection of items in parallel, applying the same set of steps to each item. It can iterate over an array in its input and execute a sub-workflow for each element, making it perfect for transforming multiple files concurrently. The Parallel state executes multiple branches independently and concurrently, but it doesn't iterate over a collection of items; it's for distinct, parallel tasks. The Choice state adds branching logic to a workflow based on input, not parallel processing. The Wait state pauses the execution for a specified period or until a specific time, which is unrelated to parallel data transformation.