The answer is that the detectionModel parameter is not set, causing the default detection model to omit face IDs. This occurs because the Azure Face API requires the detectionModel parameter to be explicitly set to 'detection_03' to return unique face IDs; the default 'detection_01' model is optimized for speed and does not include face IDs in the response. On the AI-102 exam, this scenario tests your understanding of how detection models affect response fields—a common trap is assuming the returnFaceId parameter alone controls this, but it must be paired with the correct detection model. A key memory tip is to think of 'detection_03' as the "ID-friendly" model: if you need face IDs, always specify detection_03, or you'll get a response that looks correct but is missing the critical identifier.
AI-102 Implement computer vision solutions Practice Question
This AI-102 practice question tests your understanding of implement computer vision solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
Refer to the exhibit. You are using the Azure AI Face API to detect faces in an image. You need to ensure that the response includes the unique face ID for each detected face. However, the response does not contain face IDs. What is the most likely cause?
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 'detectionModel' parameter is not set; the default detection model does not return face IDs.
Option A is correct because the Face API requires that the 'detectionModel' parameter be set to 'detection_03' to return face IDs. The exhibit does not specify detectionModel, so it defaults to 'detection_01' which does not return face IDs. Option B is wrong because 'returnFaceId' is set to true. Option C is wrong because the API version is valid. Option D is wrong because face landmarks are not required for face ID.
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 'returnFaceLandmarks' parameter must be set to true.
Why it's wrong here
Face landmarks are unrelated to face ID.
✗
The 'returnFaceId' parameter is set to false.
Why it's wrong here
It is set to true in the exhibit.
✓
The 'detectionModel' parameter is not set; the default detection model does not return face IDs.
Why this is correct
Detection model must be set to 'detection_03' for face IDs.
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 API version is incorrect; use '2023-06-01-preview' instead.
Why it's wrong here
Version 2024-02-01 is valid.
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.
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 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 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 'detectionModel' parameter is not set; the default detection model does not return face IDs. — Option A is correct because the Face API requires that the 'detectionModel' parameter be set to 'detection_03' to return face IDs. The exhibit does not specify detectionModel, so it defaults to 'detection_01' which does not return face IDs. Option B is wrong because 'returnFaceId' is set to true. Option C is wrong because the API version is valid. Option D is wrong because face landmarks are not required for face ID.
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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