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

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

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

Microsoft Azure AI Fundamentals AI-900
Describe Artificial Intelligence Workloads and Considerations
Your Score:
Settings & Objectives
Random Mixed
Questions are selected randomly from all chosen topics, with a preference for those you haven’t seen before. You may see several questions from the same objective or domain in a row.
Rotate by Objective
Questions cycle through each objective or domain in turn, helping you avoid long streaks of questions from the same area. You may see some repeat questions, but the distribution will be more balanced across topics.

Check or uncheck an objective to set which questions you will receive.

Wipe Score
Bash, the Crucial Exams Chat Bot
AI Bot