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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 Hide Answer
Suggested Answer: C 🗳️
by ADVIT at July 8, 2023, 6:04 a.m.
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Untamables
8 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, 2 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, 3 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, 3 months ago
Selected Answer: C
C cause A require customization.
upvoted 4 times
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