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A company runs a data processing pipeline on AWS every day.

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A company runs a data processing pipeline on AWS every day. The pipeline downloads data from an Amazon S3 bucket to Amazon EC2 instances. The company runs a batch analysis process on the downloaded data by manually running a custom Python script. The batch process usually takes 10 to 30 minutes to complete the analysis.

A DevOps engineer wants to modernize the data processing pipeline. The DevOps engineer needs to set up a new event-driven pipeline that sends notifications to company management when the batch process is finished.

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

A.

Invoke a Python shell job in AWS Glue to run the custom Python script in response to an Amazon EventBridge rule when a new file is uploaded to the S3 bucket. Use EventBridge and Amazon Simple Notification Service (Amazon SNS) to build an automated workflow that sends notifications to company management when the AWS Glue job finishes running.

B.

Run the custom Python script on an EC2 instance when a new file is uploaded to the S3 bucket. Use Amazon EventBridge and Amazon Simple Notification Service (Amazon SNS) to build an automated workflow that sends notifications to company management when the Python script finishes running.

C.

Invoke an AWS Lambda function by using AWS Step Functions with a retry mechanism that is based on an S3 event notification when a new file is uploaded to the S3 bucket. Use Amazon EventBridge and Amazon Simple Notification Service (Amazon SNS) to build an automated workflow that sends notifications to company management when the Lambda function finishes running.

D.

Run the custom Python script on an EC2 instance by creating a new custom API that points to the Python script. Use Amazon EventBridge and Amazon Simple Notification Service (Amazon SNS) to build an automated workflow that sends notifications to company management when the Python script finishes running.

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