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.
Exhibit
Refer to the exhibit.
```json
{
"url": "https://example.com/image.jpg",
"maxCandidates": 1,
"language": "en"
}
```
Response:
```json
{
"captionResult": {
"text": "a person holding a smartphone",
"confidence": 0.89
},
"metadata": {
"height": 600,
"width": 800
},
"modelVersion": "2024-02-01"
}
```
Refer to the exhibit. An Azure Cognitive Services Computer Vision API call for image captioning is returning only one caption. The developer wants to get three possible captions ranked by confidence. Which parameter should be modified in the request?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Set the maxCandidates value to 3.
The `maxCandidates` parameter in the Computer Vision Image Analysis API controls the maximum number of captions returned in the response. By default, this value is 1, so only the top-ranked caption is returned. Setting `maxCandidates=3` instructs the API to return up to three captions, each with its own confidence score, ranked from highest to lowest confidence.
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.
✗
Use a different API version, such as 2023-04-01.
Why it's wrong here
API version does not change caption count behavior.
✗
Modify the URL to point to a different image.
Why it's wrong here
Changing the image does not increase caption count; it's about parameter configuration.
✗
Change the language parameter to 'multi'.
Why it's wrong here
Language parameter does not affect caption count.
✓
Set the maxCandidates value to 3.
Why this is correct
maxCandidates defines how many captions the API returns.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse the `maxCandidates` parameter with other parameters like `language` or `details`, or assume that changing the API version or image source would increase the number of captions, when in fact the default behavior is to return only one caption unless explicitly overridden.
Detailed technical explanation
How to think about this question
Under the hood, the Computer Vision API uses a deep neural network to generate multiple candidate captions with associated confidence scores (0.0 to 1.0). The `maxCandidates` parameter acts as a top-k filter, returning only the k most confident captions. In a real-world scenario, a developer might set `maxCandidates=5` to present users with multiple descriptive options for accessibility or content moderation, then programmatically select the caption with the highest confidence or allow user choice.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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: Set the maxCandidates value to 3. — The `maxCandidates` parameter in the Computer Vision Image Analysis API controls the maximum number of captions returned in the response. By default, this value is 1, so only the top-ranked caption is returned. Setting `maxCandidates=3` instructs the API to return up to three captions, each with its own confidence score, ranked from highest to lowest confidence.
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.
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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