AI-102 Implement computer vision solutions Practice Question
You are developing an application that uses Azure AI Vision to analyze images of products on an assembly line. The application must identify the presence of specific objects, such as screws, bolts, and washers, and return their bounding boxes. You have a limited set of labeled images for each object type. Which Azure service should you use to train a model that meets these requirements?
⚠ Common exam trap
The trap here is assuming that the pre-built 'objects' feature in Image Analysis can be customized or that it can detect specific industrial parts without training.
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
✓
Azure Custom Vision object detection
Azure Custom Vision object detection is the correct service because it enables you to train a custom model using your labeled images to detect specific objects and return bounding boxes. It is designed for scenarios where you need to identify custom objects with a limited dataset.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure AI Vision Face API
Why it's wrong here
The Face API is specialized for detecting and analyzing human faces, including attributes like age and emotion. It cannot detect or classify objects such as screws, bolts, or washers. Thus, it is completely unsuitable for this assembly line scenario.
- ✗
Azure AI Vision Image Analysis with the 'objects' feature
Why it's wrong here
The 'objects' feature in Image Analysis detects common objects but is not customizable to specific items like screws, bolts, and washers. It relies on a pre-trained model that recognizes general objects, so it cannot be trained on your custom labeled images. Therefore, it does not meet the requirement.
- ✗
Azure Video Indexer
Why it's wrong here
Azure Video Indexer is designed for analyzing video content, including speech transcription, face detection, and scene segmentation. While it can detect objects in video, it is not intended for custom object detection on static images, nor does it support training on your own labeled images. Therefore, it does not fit the requirement.
- ✓
Azure Custom Vision object detection
Why this is correct
Azure Custom Vision object detection allows you to train a model on your own labeled images to detect specific objects and return bounding boxes. It supports custom object types like screws, bolts, and washers, and can work with a limited set of images. This service is designed exactly for this scenario.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Microsoft exam blueprint
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