DVA-C02 Question #119: Real Exam Question with Answer & Explanation

Question

A company stores its data in data tables in a series of Amazon S3 buckets. The company received an alert that customer credit card information might have been exposed in a data table on one of the company's public applications. A developer needs to identify all potential exposures within the application environment. Which solution will meet these requirements?

Options

• AUse Amazon Athena to run a job on the S3 buckets that contain the affected data. Filter the
• BUse Amazon Macie to run a job on the S3 buckets that contain the affected data. Filter the
• CUse Amazon Macie to run a job on the S3 buckets that contain the affected data. Filter the
• DUse Amazon Athena to run a job on the S3 buckets that contain the affected data. Filter the

Explanation

Use Amazon Macie to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S3Object/Financial finding type. Option A and D suggest using Amazon Athena, which is an interactive query service that can be used to analyze data stored in S3 using standard SQL queries. While Athena can help identify data in S3 buckets, it does not provide the same level of automated scanning and pattern matching that Amazon Macie does. Option C is incorrect because the SensitiveData:S3Object/Personal finding type is designed to identify personally identifiable information (PII), such as names and addresses, but not credit card

No community discussion yet for this question.