AI-103 Computer Vision Practice Question
You are training a Custom Vision object detection model to identify specific manufacturing defects on a production line. You have uploaded 50 images and tagged the defects. When you attempt to train the model, the training fails. What is the most likely cause?
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 requires a minimum of 15 tagged images per tag.
Custom Vision object detection requires a minimum of 15 images per tag for the training set.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
You must have at least 5 tags defined in the project.
Why it's wrong here
Projects can have a single tag.
- ✓
Object detection requires a minimum of 15 tagged images per tag.
Why this is correct
Custom Vision requires at least 15 images per tag for object detection projects.
- ✗
You must use multi-class classification instead of object detection for manufacturing defects.
Why it's wrong here
Object detection is correct when you need to locate and identify defects.
- ✗
Training images must be smaller than 256x256 pixels.
Why it's wrong here
Custom Vision accepts higher-resolution images and resizes them internally.
About these practice questions
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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.