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A company is redesigning its data intake process.

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A company is redesigning its data intake process. In the existing process, the company receives data transfers and uploads the data to an Amazon S3 bucket every night. The company uses AWS Glue crawlers and jobs to prepare the data for a machine learning (ML) workflow.

The company needs a low-code solution to run multiple AWS Glue jobs in sequence and provide a visual workflow.

Which solution will meet these requirements?

A.

Use an Amazon EC2 instance to run a cron job and a script to check for the S3 files and call the AWS Glue jobs. Create an Amazon CloudWatch dashboard to visualize the workflow.

B.

Use Amazon EventBridge to call an AWS Step Functions workflow for the AWS Glue jobs. Use Step Functions to create a visual workflow.

C.

Use S3 Event Notifications to invoke a series of AWS Lambda functions and AWS Glue jobs in sequence. Use Amazon QuickSight to create a visual workflow.

D.

Create an Amazon Elastic Container Service (Amazon ECS) task that contains a Python script that manages the AWS Glue jobs and creates a visual workflow. Use Amazon EventBridge Scheduler to start the ECS task.

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