Amazon
MLS-C01 · Question #293
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 infor
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Data Engineering
Question
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?
Options
- AUse Amazon SageMaker Data Wrangler with a custom transformation to identify and redact the
- BCreate a custom AWS Lambda function to read the files, identify the PII. and redact the PII
- CUse AWS Glue DataBrew to identity and redact the PII
- DUse an AWS Glue development endpoint to implement the PII redaction from within a notebook
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Topics
#Data Preparation#PII Redaction#AWS Glue DataBrew#No-code/Low-code