AB-731: AI Transformation LeaderDemo

By Microsoft · Question Mode

QuestionQ5

Identify an implementation and adoption strategy for Microsoft’s AI apps and services

A company intends to use an AI-driven solution to analyze customer feedback in order to gain insights that will inform future product designs.

The goal is to mitigate the privacy risks associated with this solution.

What is the best approach to achieve this goal? (More than one answer choice may achieve the goal — select the BEST answer.)

  • A Delete all the feedback data immediately after analysis.
  • B Ensure that feedback is attributable to the customer so that it can be deleted upon request.
  • C Limit privacy reviews to the final stage of the AI project lifecycle.
  • D Anonymize the source data to remove customer Personally Identifiable Information (PII) from the feedback.
Explanation

Anonymizing the source data to strip out Personally Identifiable Information before it is processed by the AI solution directly reduces privacy risk at its source, since the system can no longer expose or misuse identifiable customer data while still allowing the underlying feedback content to be analyzed for product design insights. This aligns with core privacy-by-design and data minimization principles (e.g., GDPR data minimization requirements and Microsoft's Responsible AI "privacy and security" pillar), which call for reducing exposure of personal data as early as possible in a system's lifecycle rather than relying on later remediation such as deletion after the fact, keeping data attributable (which increases rather than decreases exposure), or deferring privacy reviews to the end of the project.

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