Topic 1 Question 142
A company wants to upload customer service email messages to Amazon S3 to develop a business analysis application. The messages sometimes contain sensitive data. The company wants to receive an alert every time sensitive information is found.
Which solution fully automates the sensitive information detection process with the LEAST development effort?
Configure Amazon Macie to detect sensitive information in the documents that are uploaded to Amazon S3.
Use Amazon SageMaker endpoints to deploy a large language model (LLM) to redact sensitive data.
Develop multiple regex patterns to detect sensitive data. Expose the regex patterns on an Amazon SageMaker notebook.
Ask the customers to avoid sharing sensitive information in their email messages.
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コメント(4)
- 正解だと思う選択肢: A
A. Anything related to PII, always think of Macie
👍 1chris_spencer2025/02/04 - 正解だと思う選択肢: A
If using S3 and PII is a concern, probably Macie is the answer.
👍 1djeong952025/02/04 - 正解だと思う選択肢: A
Configure Amazon Macie to detect sensitive information in the documents that are uploaded to Amazon S3.
Amazon Macie is a fully managed data security and privacy service that uses machine learning to automatically discover, classify, and protect sensitive data in AWS. It can be configured to monitor Amazon S3 buckets for sensitive information and send alerts when such information is detected. This solution requires minimal development effort and leverages AWS's built-in capabilities for sensitive data detection.
👍 1Jessiii2025/02/11
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