AI-103 Computer Vision Practice Question
You are designing a multimodal solution that combines Azure AI Vision dense captions with Azure OpenAI GPT-4 Vision. You want to extract precise bounding box coordinates for multiple objects in complex scenes and pass them as structured context. Which API feature should you invoke?
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
✓
features=denseCaptions
Dense captions return a set of regional bounding boxes and corresponding descriptive text snippets.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
features=denseCaptions
Why this is correct
Dense captions provide detailed descriptions and bounding box coordinates for multiple sub-regions in an image.
- ✗
features=objects
Why it's wrong here
Objects returns category labels and bounding boxes, but not rich multi-sentence descriptions per region.
- ✗
features=smartCrops
Why it's wrong here
SmartCrops is used for thumbnail generation.
- ✗
features=tags
Why it's wrong here
Tags returns keywords without bounding box coordinates.
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Last reviewed August 2026 · checked against the official Microsoft exam blueprint
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