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コメント(8)

• 正解だと思う選択肢: C

  C is Correct To meet the requirement of parallel processing a large collection of data files and applying a specific transformation to each file, the data engineer should use the Map state in AWS Step Functions. The Map state is specifically designed to run a set of tasks in parallel for each element in a collection or array. Each element (in this case, each data file) is processed independently and in parallel, allowing the workflow to take advantage of parallel processing.

  👍 3

  sveni15022024/05/22
• 正解だと思う選択肢: C

  The Map state allows you to define a single execution path for processing a collection of data items in parallel. This aligns perfectly with the data engineer's requirement of parallel processing a large collection of data files

  👍 3

  pypelyncar2024/06/08
• 正解だと思う選択肢: C

  The Map state is specifically designed for processing a collection of items (like data files) in parallel. It allows you to apply a transformation or a set of steps to each item in the input array independently. The Map state automatically iterates over each item in the array and performs the defined steps. This makes it ideal for scenarios where you need to process a large number of files in a similar manner, as in your requirement.

  👍 2

  rralucard_2024/02/04