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MLA-C01 · Question #19

MLA-C01 Question #19: Real Exam Question with Answer & Explanation

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Data Preparation for Machine Learning

Question

An ML engineer needs to process thousands of existing CSV objects and new CSV objects that are uploaded. The CSV objects are stored in a central Amazon S3 bucket and have the same number of columns. One of the columns is a transaction date. The ML engineer must query the data based on the transaction date. Which solution will meet these requirements with the LEAST operational overhead?

Options

  • AUse an Amazon Athena CREATE TABLE AS SELECT (CTAS) statement to create a table based
  • BCreate a new S3 bucket for processed data. Set up S3 replication from the central S3 bucket to
  • CCreate a new S3 bucket for processed data. Use AWS Glue for Apache Spark to create a job to
  • DCreate a new S3 bucket for processed data. Use Amazon Data Firehose to transfer the data from

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Topics

#Amazon Athena#Data Partitioning#Operational Overhead#S3 Data Lakes
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