Which solution will meet these requirements?
Use Amazon Athena to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S3Object/Personal finding type.
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.
Use Amazon Macie to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S3Object/Personal finding type.
Use Amazon Athena to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S3Object/Financial finding type.
Explanations:
Amazon Athena is a query service and does not specifically scan for sensitive data types; it cannot directly filter findings related to sensitive data exposure.
Amazon Macie is designed to identify and classify sensitive data in S3 buckets. Filtering by SensitiveData/Financial specifically targets credit card information, making it suitable for this case.
While Amazon Macie is appropriate for identifying sensitive data, filtering by SensitiveData/Personal does not specifically target credit card information, which is financial data.
Amazon Athena does not specifically identify sensitive data types or provide direct findings related to credit card information; thus, using it with a filter for financial findings is not valid.
If I’m correct, the answer is:
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.