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A company needs to automate data workflows from multiple data sources to run both on...

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A company needs to automate data workflows from multiple data sources to run both on schedules and in response to events from Amazon EventBridge. The data sources are Amazon RDS and Amazon S3. The company needs a single data pipeline that can be invoked both by scheduled events and near real-time EventBridge events.

Which solution will meet these requirements with the LEAST operational overhead?

A.

Create an AWS Glue workflow. Use EventBridge to integrate the events and schedules.

B.

Create an Amazon Managed Workflow for Apache Airflow (Amazon MWAA) workflow that uses a directed acyclic graph (DAG). Use EventBridge to integrate the events and schedules.

C.

Create an AWS Step Functions state machine. Integrate the state machine with AWS Glue ETL jobs and EventBridge to orchestrate the pipeline based on events and schedules.

D.

Create Amazon EMR Serverless jobs that are invoked by AWS Lambda functions. Use EventBridge events and schedules to orchestrate the EMR jobs.

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A company created an extract, transform, and load (ETL) data pipeline in AWS Glue.
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