The answer is to ensure all images are anonymized before analysis. This is correct because GDPR mandates that personal data, including biometric facial images, must be processed with strict safeguards to prevent re-identification; anonymization strips the data of any link to an identifiable person, aligning with the regulation’s principles of data minimization and privacy by design. On the AWS Certified AI Practitioner AIF-C01 exam, this concept tests your understanding of how to apply GDPR compliance within Amazon Rekognition workflows—a common trap is assuming blurring or masking alone suffices, but true anonymization must be irreversible and prevent any future re-identification. For a memory tip, think “Anonymize to minimize risk,” tying the action directly to GDPR’s core requirement of reducing personal data exposure.
AIF-C01 Fundamentals of AI and ML Practice Question
This AIF-C01 practice question tests your understanding of fundamentals of ai and ml. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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
Option C is correct because 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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use face detection only
Why it's wrong here
Even face detection may process biometric data; GDPR requires explicit consent or anonymization.
Common exam traps
Common exam trap: answer the scenario, not the keyword
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.
Detailed technical explanation
How to think about this question
Amazon Rekognition's face detection API returns bounding boxes and facial landmarks, but the underlying image data is still considered personal data under GDPR if it can identify a natural person. Anonymization techniques, such as blurring or pixelating faces before calling the Rekognition API, ensure that the service processes non-personal data, which is outside the scope of GDPR. In practice, organizations often use a preprocessing step with AWS Lambda to apply a blur filter to images before sending them to Rekognition for analysis.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Fundamentals of AI and ML — This question tests Fundamentals of AI and ML — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Ensure all images are anonymized before analysis — Option C is correct because 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.
What should I do if I get this AIF-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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