MLA-C01 Question #27: Real Exam Question with Answer & Explanation

Question

A company uses a hybrid cloud environment. A model 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?

Options

• ADeploy the model on Amazon SageMaker. Create a set of AWS Lambda functions to identify and
• BDeploy the model on an Amazon Elastic Container Service (Amazon ECS) cluster that uses AWS
• CUse Amazon Macie to identify the sensitive data. Create a set of AWS Lambda functions to
• DUse Amazon Comprehend to identify the sensitive data. Launch Amazon EC2 instances to

Explanation

Option C is correct because Amazon Macie is a fully managed service purpose-built to discover and classify sensitive data in Amazon S3 - it integrates natively with S3, requires no infrastructure management, and triggers findings automatically. Pairing it with serverless AWS Lambda functions for remediation keeps operational overhead minimal since there are no servers to provision, patch, or scale.

Option A is wrong because migrating the on-premises model to SageMaker is outside the scope of the requirement (identifying/removing sensitive data) and adds significant migration overhead. Option B similarly requires re-deploying the model to ECS, which is an unnecessary architectural change that doesn't target the core problem. Option D is the closest distractor - Comprehend can detect PII/sensitive data, but launching EC2 instances introduces server management overhead (patching, scaling, uptime) that makes it far more operationally intensive than a serverless Lambda approach.

Memory tip: On AWS exams, "least operational overhead" almost always means: prefer managed services over self-managed, and serverless (Lambda) over EC2. Remember Macie = S3 sensitive data, Comprehend = NLP/text analysis - Macie is the right tool when the data lives in S3.

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