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DEA-C01 · Question #10

A company maintains multiple extract, transform, and load (ETL) workflows that ingest data from the company's operational databases into an Amazon S3 based data lake. The ETL workflows use AWS Glue an

The correct answer is B. AWS Step Functions tasks. https://docs.aws.amazon.com/step-functions/latest/dg/connect-emr.html https://docs.aws.amazon.com/step-functions/latest/dg/connect-glue.html

Data Operations and Support

Question

A company maintains multiple extract, transform, and load (ETL) workflows that ingest data from the company's operational databases into an Amazon S3 based data lake. The ETL workflows use AWS Glue and Amazon EMR to process data. The company wants to improve the existing architecture to provide automated orchestration and to require minimal manual effort. Which solution will meet these requirements with the LEAST operational overhead?

Options

  • AAWS Glue workflows
  • BAWS Step Functions tasks
  • CAWS Lambda functions
  • DAmazon Managed Workflows for Apache Airflow (Amazon MWAA) workflows

How the community answered

(52 responses)
  • A
    6% (3)
  • B
    60% (31)
  • C
    10% (5)
  • D
    25% (13)

Explanation

https://docs.aws.amazon.com/step-functions/latest/dg/connect-emr.html https://docs.aws.amazon.com/step-functions/latest/dg/connect-glue.html

Topics

#ETL orchestration#Serverless workflows#AWS Step Functions#Operational overhead

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