AWS Certified AI Practitioner AIF-C01 Practice Question
A data engineer must publish aggregate statistics from an Amazon S3 dataset for public research while guaranteeing that no single person's information can be inferred. Which privacy-enhancing technique should be applied before the data is shared?
Differential privacy purposely injects carefully calibrated statistical noise into data or query results so that analysts can learn about population-level trends without being able to determine whether any individual record was part of the dataset. This protects each person's privacy even when aggregates are released. Homomorphic encryption keeps data encrypted during computation but does not by itself anonymize published results. Lossless data compression only reduces storage size and offers no privacy benefit. Network ACLs restrict network traffic; they do not modify data to prevent re-identification.
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AWS Certified AI Practitioner AIF-C01
Security, Compliance, and Governance for AI Solutions
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