AIF-C01 Fundamentals of AI and ML Practice Question
An organization wants to use Amazon Rekognition to analyze images of people for a security application. They must comply with GDPR. What is the best practice?
⚠ Common exam trap
AWS often tests the misconception that using a specific feature like celebrity recognition or face detection alone automatically satisfies compliance requirements, when in fact GDPR mandates data anonymization or pseudonymization as a best practice for processing biometric 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
✓
Ensure all images are anonymized before analysis
GDPR requires that personal data, including facial images, be processed lawfully and with appropriate safeguards. Anonymizing images before analysis with Amazon Rekognition ensures that the data cannot be linked back to an identifiable person, thereby reducing GDPR compliance risk. This aligns with the principle of data minimization and privacy by design.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Store images indefinitely for audit
Why it's wrong here
GDPR requires data minimization and limited retention; indefinite storage violates that.
- ✗
Use celebrity recognition
Why it's wrong here
Celebrity recognition does not avoid processing personal data of non-celebrities.
- ✓
Ensure all images are anonymized before analysis
Why this is correct
Anonymizing images (e.g., blurring faces) helps comply with privacy regulations like GDPR.
- ✗
Use face detection only
Why it's wrong here
Even face detection may process biometric data; GDPR requires explicit consent or anonymization.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AIF-C01 practice question is part of Courseiva's free Amazon Web Services 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 AIF-C01 exam.