Crucial Exams

Microsoft Azure AI Fundamentals AI-900 Practice Question

An online retailer is building a recommendation engine that uses individual-level purchase history and click-stream data. The company must comply with privacy regulations such as GDPR while still keeping the data useful for personalizing suggestions.

Which privacy-preserving technique best satisfies this requirement?

  • Aggregate the data into category-level totals and delete the original customer-level records

  • Apply data anonymization to remove or irreversibly mask all PII before model training

  • Replace each customer ID with a reversible hash and keep the mapping table for future reference

  • Encrypt the raw data at rest and decrypt it during model training without additional masking

Microsoft Azure AI Fundamentals AI-900
Describe Artificial Intelligence Workloads and Considerations
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