The answer is to check the API version used in the application code and compare it with the latest version. This is the correct first step because the issue began immediately after a Computer Vision API update, and the problem is isolated to specific clothing items with similar colors, which strongly suggests a regression or behavioral change introduced in the new API version rather than a generic image quality or format issue. On the Microsoft Azure AI Engineer Associate AI-102 exam, this scenario tests your ability to troubleshoot Computer Vision API version issues methodically, emphasizing that you must verify version compatibility before adjusting confidence thresholds or retraining models—a common trap is jumping to retraining when the root cause is a breaking change in the API. Remember the memory tip: "Version first, then verdict"—always confirm the API version before assuming the model needs fixing.
AI-102 Practice Question: Implement image and video processing solutions
This AI-102 practice question tests your understanding of implement image and video processing solutions. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
You are the Azure AI engineer for a large e-commerce company. The company uses Azure Computer Vision to automatically tag product images uploaded by sellers. The system has been running smoothly for months. However, after a recent update to the Computer Vision API, you notice that certain images of clothing items are being tagged with incorrect labels, such as 'shoe' for a shirt. The images are clear and well-lit. You have confirmed that the image format (JPEG) is supported and the size is within limits. The issue occurs consistently for clothing items with similar colors. Other product categories work fine. You suspect the issue is related to the API version. What should you do first?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "first"
Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Check the API version used in the application code and compare with the latest version.
Option B is correct because the issue began after a Computer Vision API update, and the problem is specific to certain clothing images with similar colors, indicating a potential regression or behavioral change in the API version. Checking the API version used in the application code against the latest version is the first logical troubleshooting step to identify if a breaking change or bug was introduced. This aligns with Azure AI best practices: always verify API version compatibility before modifying thresholds or retraining models.
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.
✗
Increase the image size limit.
Why it's wrong here
Size is within limits; not the cause.
✓
Check the API version used in the application code and compare with the latest version.
Why this is correct
API updates may change behavior; rolling back or updating code may fix.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Switch to a custom model trained on clothing items.
Why it's wrong here
Custom model may not be necessary; issue likely version-related.
✗
Reduce the confidence threshold to 50% to see if more tags appear.
Why it's wrong here
May worsen accuracy.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may jump to retraining a custom model (Option C) or adjusting confidence thresholds (Option D) without first verifying the API version, which is the simplest and most cost-effective diagnostic step in Azure AI troubleshooting.
Detailed technical explanation
How to think about this question
Azure Computer Vision API versions (e.g., v3.2, v4.0) can introduce changes to the underlying deep learning models, tag taxonomies, or post-processing logic. A version update might alter how the model handles color similarity or texture features, leading to confusion between visually similar categories like clothing items. Checking the API version in the code (e.g., the 'api-version' parameter in REST calls) and comparing release notes for the latest version can reveal if a known issue or intentional change affects clothing tagging.
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 image and video processing solutions — This question tests Implement image and video processing solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Check the API version used in the application code and compare with the latest version. — Option B is correct because the issue began after a Computer Vision API update, and the problem is specific to certain clothing images with similar colors, indicating a potential regression or behavioral change in the API version. Checking the API version used in the application code against the latest version is the first logical troubleshooting step to identify if a breaking change or bug was introduced. This aligns with Azure AI best practices: always verify API version compatibility before modifying thresholds or retraining models.
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: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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