Plan and manage an Azure AI solution →easyMultiple SelectObjective-mapped

AI-102 Plan and manage an Azure AI solution Practice Question

You are developing an Azure AI solution that uses pre-built models from Azure AI Vision to analyze images. The solution must be able to detect objects and read printed text. Which TWO capabilities should you use?

⚠ Common exam trap

Watch out — candidates often confuse Image Tagging (which only provides labels) with Object Detection (which provides both labels and spatial localization), and may mistakenly choose the legacy OCR API instead of the modern Read API for text extraction.

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

✓

Object detection

Azure AI Vision's Object Detection capability identifies and locates objects within an image, returning bounding box coordinates and labels. This directly meets the requirement to 'detect objects' in the solution.

Answer analysis

Option-by-option breakdown

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

✗
OCR (legacy)
Why it's wrong here
Legacy API; Read is recommended.
✗
Facial detection
Why it's wrong here
Not required for the given requirements.
✓
Object detection
Why this is correct
Detects objects in images.
✗
Image tagging
Why it's wrong here
Tagging assigns keywords, not object bounding boxes.
✓
Read (OCR)
Why this is correct
Extracts printed text from images.

Go deeper

AI-102 Plan and manage an Azure AI solution Practice Question

Why each option matters

Option-by-option breakdown

Related to this question