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Exam AWS Certified Data Engineer - Associate DEA-C01 All Questions

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Exam AWS Certified Data Engineer - Associate DEA-C01 topic 1 question 183 discussion

A company stores CSV files in an Amazon S3 bucket. A data engineer needs to process the data in the CSV files and store the processed data in a new S3 bucket.

The process needs to rename a column, remove specific columns, ignore the second row of each file, create a new column based on the values of the first row of the data, and filter the results by a numeric value of a column.

Which solution will meet these requirements with the LEAST development effort?

  • A. Use AWS Glue Python jobs to read and transform the CSV files.
  • B. Use an AWS Glue custom crawler to read and transform the CSV files.
  • C. Use an AWS Glue workflow to build a set of jobs to crawl and transform the CSV files.
  • D. Use AWS Glue DataBrew recipes to read and transform the CSV files.
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Suggested Answer: D 🗳️

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HagarTheHorrible
4 months ago
Selected Answer: D
all more or less common operations all avilalble in data brew.
upvoted 1 times
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emupsx1
5 months ago
Selected Answer: D
https://docs.aws.amazon.com/databrew/latest/dg/recipes.html
upvoted 1 times
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