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.
The Face API's default detection model (detection_01) does not return face IDs. To obtain face IDs, you must explicitly set the 'detectionModel' parameter to 'detection_03' or 'detection_04', which support face ID generation. Without this parameter, the API omits the face ID field in the response.
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
A common trap in the AI-102 exam is assuming that face IDs are always returned by default when using the Azure Face API. In reality, only detection models 03 and 04 support face ID generation; the default model (detection_01) does not. Candidates must remember to explicitly set the 'detectionModel' parameter to 'detection_03' or 'detection_04' to obtain face IDs.
Detailed technical explanation
How to think about this question
The Face API uses detection models that trade off between speed, accuracy, and feature support. Detection_01 is optimized for speed and does not generate face IDs, while detection_03 and detection_04 generate unique face IDs that can be used for subsequent operations like face identification or verification. This design prevents unnecessary storage of face IDs when only basic detection is needed, reducing API overhead and cost.
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.
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. — The Face API's default detection model (detection_01) does not return face IDs. To obtain face IDs, you must explicitly set the 'detectionModel' parameter to 'detection_03' or 'detection_04', which support face ID generation. Without this parameter, the API omits the face ID field in the response.
What should I do if I get this AI-102 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: "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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