Exam AWS Certified Machine Learning - Specialty topic 1 question 266 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty

Question #: 266
Topic #: 1

[All AWS Certified Machine Learning - Specialty Questions]

A company hosts a machine learning (ML) dataset repository on Amazon S3. A data scientist is preparing the repository to train a model. The data scientist needs to redact personally identifiable information (PH) from the dataset.

Which solution will meet these requirements with the LEAST development effort?

A. Use Amazon SageMaker Data Wrangler with a custom transformation to identify and redact the PII.
B. Create a custom AWS Lambda function to read the files, identify the PII. and redact the PII
C. Use AWS Glue DataBrew to identity and redact the PII
D. Use an AWS Glue development endpoint to implement the PII redaction from within a notebook

Show Suggested Answer

Suggested Answer: C 🗳️

by ADVIT at July 8, 2023, 6:04 a.m.

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Comments

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Untamables

10 months, 2 weeks ago

Selected Answer: C

https://docs.aws.amazon.com/databrew/latest/dg/personal-information-protection.html

upvoted 1 times

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Mickey321

1 year, 4 months ago

Selected Answer: C

option C is better than the other options because it can meet the company’s requirements with the least development effort. Option C can leverage DataBrew’s native capabilities to identify and handle PII data in a visual and intuitive way.

upvoted 1 times

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D2

1 year, 5 months ago

Selected Answer: C

Answer C https://aws.amazon.com/blogs/big-data/introducing-pii-data-identification-and-handling-using-aws-glue-databrew/

upvoted 1 times

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ADVIT

1 year, 5 months ago

Selected Answer: C

C cause A require customization.

upvoted 4 times

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