The answer is to train a single Custom Vision model that detects damage and reads tracking numbers using OCR. This approach is correct because it avoids the latency penalty of separate API calls; a unified model processes the image once to extract both text and damage detection, meeting the high throughput requirement of 1000 images per minute with sub-500ms latency. On the AI-102 exam, this scenario tests your understanding of optimizing Azure AI Vision workflows for real-time conveyor belt inspection, where combining OCR and object detection in one Custom Vision model is more efficient than chaining the Read API with a separate detection service. A common trap is assuming separate specialized services are always better, but that doubles processing time. Memory tip: think “one model, one pass” for high-throughput package OCR and damage detection on conveyor belts.
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.
A logistics company uses Azure AI Vision to analyze images of packages on conveyor belts. They need to detect damaged packages and read tracking numbers. The solution must process high throughput (1000 images per minute) with low latency (<500ms per image). The images are captured by fixed cameras. Which approach should you recommend?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Train a single Custom Vision model that detects damage and reads tracking numbers using OCR
Azure AI Vision OCR Read API is optimized for text detection and has high throughput. Object detection can be added via Custom Vision, but combining both in a single Custom Vision model is efficient. Separate API calls would increase latency. Using separate services for OCR and detection would double processing time.
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 Azure AI Document Intelligence to process package labels
Why it's wrong here
Document Intelligence is for document images, not general package photos.
✓
Train a single Custom Vision model that detects damage and reads tracking numbers using OCR
Why this is correct
Custom Vision supports object detection and can integrate OCR for text.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use Azure AI Video Indexer to analyze the video stream from cameras
Why it's wrong here
Video Indexer is for video, not high-throughput still images.
✗
Use Azure AI Vision OCR Read API for tracking numbers and a separate Custom Vision model for damage detection
Why it's wrong here
Two separate API calls increase latency beyond 500ms.
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 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 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: Train a single Custom Vision model that detects damage and reads tracking numbers using OCR — Azure AI Vision OCR Read API is optimized for text detection and has high throughput. Object detection can be added via Custom Vision, but combining both in a single Custom Vision model is efficient. Separate API calls would increase latency. Using separate services for OCR and detection would double processing time.
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.
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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