AIF-C01 · Question #157
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…
The correct answer is A. Configure Amazon Macie to detect sensitive information in the documents that are uploaded to. Amazon Macie is a fully managed data security and privacy service that uses machine learning to discover and protect sensitive data in Amazon S3. It can automatically detect sensitive information, such as personally identifiable information (PII) or financial data, and send…
Question
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?
Options
- AConfigure Amazon Macie to detect sensitive information in the documents that are uploaded to
- BUse Amazon SageMaker endpoints to deploy a large language model (LLM) to redact sensitive
- CDevelop multiple regex patterns to detect sensitive data. Expose the regex patterns on an
- DAsk the customers to avoid sharing sensitive information in their email messages.
How the community answered
(53 responses)- A72% (38)
- B4% (2)
- C8% (4)
- D17% (9)
Explanation
Amazon Macie is a fully managed data security and privacy service that uses machine learning to discover and protect sensitive data in Amazon S3. It can automatically detect sensitive information, such as personally identifiable information (PII) or financial data, and send alerts when such data is found. This approach minimizes development effort, as it does not require custom regex patterns or model development, and it is specifically designed to handle the scenario described.
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