AI-102 Implement computer vision solutions Practice Question
You need to design a computer vision solution that detects defects in manufactured parts on a conveyor belt. The solution must run in near real-time and adapt to new defect types without retraining from scratch. Which TWO approaches should you consider?
⚠ Common exam trap
Many exam-takers confuse pre-built Azure AI Vision Image Analysis (option E) with Custom Vision, but pre-built models cannot be retrained or fine-tuned, making them inflexible for adapting to new defect types.
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
✓
Use Azure AI Custom Vision with object detection and retrain with new defect images
Azure AI Custom Vision with object detection allows you to train a model to identify defects in images, and its retraining capability enables the model to adapt to new defect types without starting from scratch, meeting the near real-time requirement. This approach is specifically designed for custom visual inspection tasks like defect detection on a conveyor belt.
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 Face to detect anomalies
Why it's wrong here
Face is for facial features, not defect detection.
- ✓
Use Azure AI Custom Vision with object detection and retrain with new defect images
Why this is correct
Custom Vision supports retraining with new images to learn new defects.
- ✓
Implement transfer learning with a pre-trained model and fine-tune on defect images
Why this is correct
Transfer learning allows adapting a pre-trained model to new defect classes quickly.
- ✗
Use Azure AI Video Indexer to analyze video feeds
Why it's wrong here
Video Indexer is for video analysis, not real-time defect detection.
- ✗
Use pre-built Azure AI Vision Image Analysis to classify images
Why it's wrong here
Pre-built models are not customizable for specific defects.
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Senior Network & Security Engineer · founder of Courseiva
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