Topic 1 Question 266
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?
Use Amazon SageMaker Data Wrangler with a custom transformation to identify and redact the PII.
Create a custom AWS Lambda function to read the files, identify the PII. and redact the PII
Use AWS Glue DataBrew to identity and redact the PII
Use an AWS Glue development endpoint to implement the PII redaction from within a notebook
ユーザの投票
コメント(3)
- 正解だと思う選択肢: C
C cause A require customization.
👍 4ADVIT2023/07/07 - 正解だと思う選択肢: C👍 1D22023/07/23
- 正解だと思う選択肢: 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.
👍 1Mickey3212023/08/04
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