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A company temporarily stages transactional datasets in an Amazon S3 bucket before the company moves...

A company temporarily stages transactional datasets in an Amazon S3 bucket before the company moves the datasets to their final destinations. Some datasets include personally identifiable information PII.

The company must remove PII data during staging before the company moves the datasets to their destinations. A solutions architect needs to configure Amazon Macie to continuously monitor the datasets.

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

A.

Create an AWS Lambda function to launch an Amazon Macie discovery job when a new dataset is stored in the target S3 bucket if a Macie discovery job is not already running. Create a second Lambda function to remove the PII data that the Macie discovery job finds.

B.

Set up Amazon Macie automated sensitive data discovery. Create an AWS Lambda function to remove the PII data that Macie finds. Configure an Amazon EventBridge rule to invoke the Lambda function when Macie discovers PII data.

C.

Schedule a daily Amazon Macie discovery job. Create an AWS Lambda function to run once every day to remove the PII data that the daily Macie job finds.

D.

Create an AWS Lambda function that runs once each day to list all datasets that are saved to the S3 bucket every day. Call Amazon Macie on the list of datasets. Create a second Lambda function to remove the PII data that Macie finds. Configure an Amazon EventBridge rule to invoke the PII removal Lambda function every day.

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