AI-103 Computer Vision Practice Question
When creating a new project in the Custom Vision portal, you need to choose a classification type. You want to tag an image with multiple independent tags (e.g., 'outdoor', 'sunset', 'mountain'). Which classification type should you select?
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
✓
Multilabel
Multilabel classification allows zero or more tags to be applied to each image independently.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Multilabel
Why this is correct
Multilabel classification allows multiple tags to be assigned to a single image.
- ✗
Object Detection
Why it's wrong here
Object detection provides bounding boxes, whereas classification tags the entire image.
- ✗
Binary Classification
Why it's wrong here
Binary classification limits choices to two mutually exclusive options.
- ✗
Multiclass
Why it's wrong here
Multiclass classification assigns exactly one tag per image.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-103 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-103 exam.