A company has multiple data workflows to ingest data from its operational databases into its data lake on Amazon S3. The workflows use AWS Glue and Amazon EMR for data processing and ETL. The company wants to enhance its architecture to provide automated orchestration and minimize manual intervention. Which solution should the company use to manage the data workflows to meet these requirements?

QuestionsCategory: DAS-C01A company has multiple data workflows to ingest data from its operational databases into its data lake on Amazon S3. The workflows use AWS Glue and Amazon EMR for data processing and ETL. The company wants to enhance its architecture to provide automated orchestration and minimize manual intervention. Which solution should the company use to manage the data workflows to meet these requirements?
Admin Staff asked 3 months ago
A company has multiple data workflows to ingest data from its operational databases into its data lake on Amazon S3. The workflows use AWS Glue and Amazon
EMR for data processing and ETL. The company wants to enhance its architecture to provide automated orchestration and minimize manual intervention.
Which solution should the company use to manage the data workflows to meet these requirements?

A. AWS Glue workflows

B. AWS Step Functions

C. AWS Lambda

D. AWS Batch








 

Suggested Answer: D

Community Answer: B

Reference:
https://aws.amazon.com/batch/use-cases/


This question is in DAS-C01 AWS Certified Data Analytics – Specialty Exam
For getting AWS Certified Data Analytics – Specialty Certificate



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