Question

A company runs a custom extract, transform, and load (ETL) process on premises. The ETL process is written in the R language and runs for an average of 6 hours. The company wants to migrate this process to run on AWS. Which solution meets these requirements?

Accepted Answer

B. Use Amazon SageMaker AI processing jobs with a custom Docker image stored in Amazon Elastic Container Registry (Amazon ECR).

Answer

Use an AWS Lambda function created from a container image to run the ETL jobs.

Answer

Use Amazon SageMaker AI script mode to build a Docker image. Run the ETL jobs by using SageMaker Notebook Jobs.

Answer

Use AWS Glue to prepare and run the ETL jobs.