The answer is different lighting conditions, as this is the most significant factor affecting Face API similarity scores. The Face API relies on consistent illumination to extract and compare facial features; when one image is brightly lit and the other is dark, the algorithm struggles to match key landmarks like the eyes and nose, drastically lowering the confidence score. On the AI-102 exam, this question tests your understanding of how environmental variables—not image size or background—impact facial recognition accuracy, with lighting being the primary trap because it directly alters feature visibility. A common mistake is assuming compression artifacts are the culprit, but the exam emphasizes that lighting differences cause far greater variance in similarity scores. Remember the mnemonic “Light Leads, Compression Lags” to recall that lighting conditions dominate over other factors like compression or image resolution when scores drop unexpectedly.
AI-102 Implement computer vision solutions Practice Question
This AI-102 practice question tests your understanding of implement computer vision solutions. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
A company uses the Face API for identity verification. During testing, they find that the similarity scores between two images of the same person are lower than expected. Which factor is most likely causing this?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The images have different lighting conditions (e.g., one is brightly lit, the other is dark).
Option B is correct because large differences in lighting can significantly affect similarity scores. Option A is wrong because moderate difference in image size does not affect facial features. Option C is wrong because background mismatch does not affect the face comparison. Option D is wrong because compression artifacts may have a minor effect but not as much as lighting.
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.
✗
The images are compressed with different quality levels.
Why it's wrong here
Compression may have minor impact but less than lighting.
✓
The images have different lighting conditions (e.g., one is brightly lit, the other is dark).
Why this is correct
Lighting changes facial appearance and reduces similarity scores.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
The backgrounds of the images are different.
Why it's wrong here
Background does not affect face comparison.
✗
The images have different dimensions (e.g., 500x500 vs 1000x1000).
Why it's wrong here
Face API resizes images internally; dimensions do not affect similarity.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Trap categories for this question
Similar concept trap
Face API resizes images internally; dimensions do not affect similarity.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
Got this wrong? Here's your next step.
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Implement computer vision solutions — This question tests Implement computer vision solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The images have different lighting conditions (e.g., one is brightly lit, the other is dark). — Option B is correct because large differences in lighting can significantly affect similarity scores. Option A is wrong because moderate difference in image size does not affect facial features. Option C is wrong because background mismatch does not affect the face comparison. Option D is wrong because compression artifacts may have a minor effect but not as much as lighting.
What should I do if I get this AI-102 question wrong?
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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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