AI-102 Implement computer vision solutions Practice Question
Which THREE actions can be performed using the Azure Custom Vision service?
⚠ Common exam trap
Many candidates confuse Azure Custom Vision's capabilities with other Azure AI services, mistakenly thinking it handles OCR (like Form Recognizer) or facial recognition (like Face API), when Custom Vision is strictly for custom image classification and object detection.
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
✓
Export a trained model to ONNX format for offline inference.
Azure Custom Vision allows you to export trained models to ONNX format for offline inference. This enables running the model on edge devices or in environments without continuous internet connectivity, leveraging the ONNX runtime for efficient deployment.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Extract text from scanned receipts.
Why it's wrong here
This is a Form Recognizer capability.
- ✓
Export a trained model to ONNX format for offline inference.
Why this is correct
Custom Vision allows export to ONNX, TensorFlow, etc.
- ✓
Train a model to classify images of different product types.
Why this is correct
Custom Vision supports image classification.
- ✓
Detect and locate multiple objects in an image with bounding boxes.
Why this is correct
Custom Vision supports object detection.
- ✗
Identify specific individuals in a crowd using facial recognition.
Why it's wrong here
Facial recognition is part of Face API, not Custom Vision.
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