Question 27 of 68
Single answerCertylQ A company uses a hybrid cloud environment. A modlel that is deployed on premises uses data in Amazon 53 to provide customers with a live conversational engine. The model is using sensitive data. An ML engineer needs to implement a solution to identify and remove the sensitive data. Which solution will meet these requirements with the LEAST operational overhead?
ADeploy the model on Amazon SageMaker. Create a set of AWS Lambda functions to identify and remove the sensitive data. Create an AWS Batch job to identify and remove the sensitive data.
✓CUse Amazon Macie to identify the sensitive data. Create a set of AWS Lambda functions to remove the sensitive data.
DUse Amazon Comprehend to identify the sensitive data. Launch Amazon EC2 instances to remove the sensitive data.
✓
Correct Answer: C
Use Amazon Macie to identify the sensitive data. Create a set of AWS Lambda functions to remove the sensitive data.
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Explanation
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