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AWS Certified Data Engineer - Associate

  • Topic 1 Question 183

    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?

    • Use AWS Glue Python jobs to read and transform the CSV files.

    • Use an AWS Glue custom crawler to read and transform the CSV files.

    • Use an AWS Glue workflow to build a set of jobs to crawl and transform the CSV files.

    • Use AWS Glue DataBrew recipes to read and transform the CSV files.

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