Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 114 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01

Question #: 114
Topic #: 1

[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

A medical company needs to store clinical data. The data includes personally identifiable information (PII) and protected health information (PHI).

An ML engineer needs to implement a solution to ensure that the PII and PHI are not used to train ML models.

Which solution will meet these requirements?

A. Store the clinical data in Amazon S3 buckets. Use AWS Glue DataBrew to mask the PII and PHI before the data is used for model training.
B. Upload the clinical data to an Amazon Redshift database. Use built-in SQL stored procedures to automatically classify and mask the PII and PHI before the data is used for model training.
C. Use Amazon Comprehend to detect and mask the PII before the data is used for model training. Use Amazon Comprehend Medical to detect and mask the PHI before the data is used for model training.
D. Create an AWS Lambda function to encrypt the PII and PHI. Program the Lambda function to save the encrypted data to an Amazon S3 bucket for model training.

Show Suggested Answer

Suggested Answer: C 🗳️

by ygn4ei at March 20, 2025, 4:39 p.m.

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Comments

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rinip86277

1 month, 2 weeks ago

Selected Answer: C

C directly addresses the requirement by using purpose-built tools that understand both general PII patterns and healthcare-specific PHI patterns, ensuring sensitive information is properly masked before ML model training.

upvoted 3 times

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ude

1 month, 4 weeks ago

Selected Answer: C

C correct

upvoted 4 times

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ygn4ei

5 months ago

Selected Answer: C

correct

upvoted 4 times

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