AIF-C01 Practice Question 80: Locating Sensitive Data at Rest
AWS Certified AI Practitioner (AIF-C01) · Test 8 · question 10 of 10
Before ingesting a 4 TB archive of historical customer correspondence from Amazon S3 into a knowledge base, a privacy team needs to establish where in that archive personal data such as names, postal addresses and bank account numbers actually sits. Nobody in the company knows which prefixes are affected. Which service should they run first?
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Answer:
Amazon Macie *discovers sensitive data by using machine learning and pattern matching* and *automates discovery and reporting of sensitive data* held in Amazon S3. Its built-in managed data identifiers *can detect a large and growing list of sensitive data types for many countries and regions, including multiple types of personally identifiable information (PII), financial information, and credentials data*. A sensitive data discovery job lets the team choose the buckets and sampling depth and returns a finding for each object where sensitive data was found, which is exactly the map of the archive they lack (option B).
- A is wrong because AWS CloudTrail records API activity: who called which operation, when, from where. It can tell the team who has been reading the bucket, but it never looks inside the objects. - C is wrong because AWS Artifact is a portal for AWS's own compliance documents: SOC, ISO and PCI reports. It has no visibility into a customer's data at all. - D is wrong because Amazon Inspector scans workloads (EC2 instances, container images and Lambda functions) for software vulnerabilities and unintended network exposure. It assesses the compute, not the contents of S3 objects.
Reference: What is Amazon Macie?