AI-102 Implement computer vision solutions Practice Question
Which TWO Azure AI services can be used to detect objects in images?
⚠ Common exam trap
Many candidates confuse the general-purpose Computer Vision Object Detection API (which is pre-trained on common objects) with Custom Vision (which requires custom training), but both are valid for object detection depending on the scenario, and the question asks for two services that can detect objects, making both C and E correct.
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
✓
Custom Vision
Custom Vision (Option C) is correct because it allows you to train a custom image classification or object detection model using your own labeled images. You can upload images, tag objects with bounding boxes, and then use the trained model to detect specific objects in new images, making it a valid choice for object detection tasks.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Video Indexer
Why it's wrong here
Video Indexer analyzes video, not static images.
- ✗
Face API
Why it's wrong here
Face API only detects faces.
- ✓
Custom Vision
Why this is correct
Custom Vision can be trained for object detection.
- ✗
Azure AI Document Intelligence
Why it's wrong here
Document Intelligence is for document analysis.
- ✓
Computer Vision Object Detection API
Why this is correct
The Object Detection API can detect common objects.
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