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AI-102 Implement computer vision solutions Practice Question

Exhibit

Refer to the exhibit.

```json
{
  "url": "https://example.com/image.jpg",
  "visualFeatures": ["Categories", "Tags", "Description", "Faces", "ImageType", "Color", "Adult"],
  "details": ["Celebrities", "Landmarks"],
  "language": "en"
}
```

You call the Azure Computer Vision Analyze API with the above request body. The response includes a 'description' object with captions. Which parameter is responsible for generating captions?

⚠ Common exam trap

It's easy for candidates to confuse 'tags' (single-word labels) with 'captions' (full sentences), assuming that enabling tags will also produce descriptive text, but only the 'description' parameter triggers the caption generation pipeline.

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

✓

Description

The 'description' parameter in the Azure Computer Vision Analyze API request body explicitly requests the service to generate human-readable captions and tags that describe the image content. When set to true, it enables the 'description' object in the response, which contains an array of captions with confidence scores. This is the direct mechanism for caption generation.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✓
Description
Why this is correct
Generates captions describing the image.
✗
Categories
Why it's wrong here
Returns category hierarchy.
✗
Adult
Why it's wrong here
Detects adult/racy content.
✗
Tags
Why it's wrong here
Returns content tags.

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AI-102 Implement computer vision solutions Practice Question

Exhibit

Why each option matters

Option-by-option breakdown

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