How to Enable Brand Detection in Azure AI Vision Analyze Image API
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 configuring the Azure AI Vision Analyze Image API. You need to ensure that the response includes a list of detected objects and brands. Which parameter is missing from the request?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Add 'model-version' with value '2023-10-01' to specify a stable version.
The Analyze Image API requires a stable model version to reliably return detected objects and brands. Without specifying 'model-version' with a value like '2023-10-01', the API may use a preview or default version that does not support brand detection or may return inconsistent results. Adding this parameter ensures the response includes the 'objects' and 'brands' visual features as expected.
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.
✗
Add 'smartcrops' to visualFeatures.
Why it's wrong here
Not required for objects and brands.
✗
Add 'gender-neutral-caption' parameter set to true.
Why it's wrong here
Not required for object detection.
✓
Add 'model-version' with value '2023-10-01' to specify a stable version.
Why this is correct
The exhibit uses 'latest' which may cause inconsistencies; specifying a version ensures stable results.
Related concept
Read the scenario before looking for a memorised answer.
✗
Remove 'Language' parameter because it is not supported.
Why it's wrong here
Language is supported.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Candidates often overlook the need to specify a stable 'model-version' parameter like '2023-10-01' to enable brand detection, and instead focus on irrelevant parameters such as 'smartcrops' or 'gender-neutral-caption'.
Detailed technical explanation
How to think about this question
The Azure AI Vision Analyze Image API uses the 'visualFeatures' parameter to request specific analysis categories like 'Objects' and 'Brands'. However, brand detection was introduced in a stable API version (2023-10-01) and may not be available in older or preview versions. Specifying 'model-version' locks the API to a known behavior, ensuring that the 'brands' feature is recognized and processed. In practice, omitting this parameter can lead to empty 'brands' arrays even when brands are present in the image, causing confusion during testing.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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: Add 'model-version' with value '2023-10-01' to specify a stable version. — The Analyze Image API requires a stable model version to reliably return detected objects and brands. Without specifying 'model-version' with a value like '2023-10-01', the API may use a preview or default version that does not support brand detection or may return inconsistent results. Adding this parameter ensures the response includes the 'objects' and 'brands' visual features as expected.
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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