Answer-first summary for fast verification
Answer: Execute an Amazon Macie job on the S3 buckets in question, using a financial data filter for sensitive findings.
The correct answer is B: Use Amazon Macie to run a job on the S3 buckets that contain the affected data. Filter the findings by using a financial data filter for sensitive findings. Amazon Macie is designed to automatically identify and protect sensitive data through machine learning and pattern matching, making it more suitable for finding credit card information compared to Amazon Athena. Athena can query data but does not have the same built-in capabilities for automatically detecting sensitive data types like financial information.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
A company's data, stored in Amazon S3 buckets, may have exposed customer credit card info via a public app. Identify the method to find potential data exposures.
A
Run an Amazon Athena job on the relevant S3 buckets, applying a specific filter for sensitive data.
B
Execute an Amazon Macie job on the S3 buckets in question, using a financial data filter for sensitive findings.
C
Utilize Amazon Macie on the affected S3 buckets, filtering for personal data as a sensitive finding type.
D
Deploy an Amazon Athena job on the S3 buckets, filtering findings with a financial sensitive data type.
No comments yet.