AI-102 Implement computer vision solutions Practice Question
Which THREE factors should be considered when choosing between Azure AI Vision prebuilt models and Custom Vision?
⚠ Common exam trap
Watch out — candidates often assume prebuilt models always require training data (Option B) or that Custom Vision cannot handle real-time video (Option A), but Azure's documentation explicitly supports both capabilities, making these distractors incorrect.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Prebuilt models may not have high accuracy for industry-specific objects.
Prebuilt models are trained on general datasets (e.g., ImageNet) and may not achieve high accuracy for industry-specific objects such as specialized medical instruments or unique manufacturing parts. Custom Vision allows fine-tuning on domain-specific images to improve precision for such niche categories.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Custom Vision cannot process images from real-time video feeds.
Why it's wrong here
Custom Vision can process images from video frames.
- ✗
Prebuilt models require a large training dataset.
Why it's wrong here
Prebuilt models are ready to use without training data.
- ✓
Prebuilt models may not have high accuracy for industry-specific objects.
Why this is correct
Prebuilt models are trained on general data, so accuracy may be lower for niche objects.
- ✓
Prebuilt models are suitable for common object categories like cars and animals.
Why this is correct
Prebuilt models work well for categories they were trained on.
- ✓
Custom Vision allows training on custom object categories.
Why this is correct
Custom Vision is tailored for user-defined categories.
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