hardMultiple ChoiceObjective-mapped
AI-102 Practice Question: A company uses Azure Face API to detect faces in…
A company uses Azure Face API to detect faces in a crowd. They need to comply with GDPR and delete face data after 30 days. What should they implement?
⚠ Common exam trap
It's easy for candidates to confuse data encryption (which protects data at rest) with data lifecycle management (which deletes data), or assume that Azure services have a universal retention policy setting, when in fact Face API requires explicit API calls to delete stored face data.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use the Face API Delete operation to remove stored face IDs.
The Azure Face API stores face data (e.g., face IDs) in a PersonGroup or FaceList, and GDPR compliance requires the ability to delete personal data on demand. The Face API provides a dedicated Delete operation (e.g., FaceList - Delete Face or PersonGroup Person - Delete) to remove stored face IDs and associated face data, enabling the 30-day deletion requirement without recreating the resource.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Enable data encryption at rest.
Why it's wrong here
Encryption does not delete data.
- ✗
Set a retention policy on the Face API resource.
Why it's wrong here
No such policy exists for Face API.
- ✓
Use the Face API Delete operation to remove stored face IDs.
Why this is correct
Explicitly deleting face data meets GDPR requirements.
- ✗
Recreate the Face API resource every 30 days.
Why it's wrong here
Unnecessary and causes service disruption.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-102 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-102 exam.