AI-102 Implement computer vision solutions Practice Question
A healthcare organization uses Custom Vision to classify X-ray images. They have a small dataset of 200 images per class. Which strategy will most likely improve model accuracy?
⚠ Common exam trap
A common mix-up: candidates assume more iterations (Option D) always improve accuracy, but in small datasets, this leads to overfitting, while data augmentation and transfer learning directly address the root cause of limited data.
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
✓
Use data augmentation and transfer learning with a pre-trained model.
Data augmentation artificially expands the small dataset (200 images per class) by applying transformations like rotation, scaling, and flipping, which helps the model generalize better. Transfer learning with a pre-trained model (e.g., ResNet or EfficientNet) leverages features learned from large datasets like ImageNet, allowing the Custom Vision model to achieve higher accuracy with limited data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Reduce the image dimensions to speed up training.
Why it's wrong here
Reducing size may discard important details for medical images.
- ✗
Add more negative samples to the dataset.
Why it's wrong here
Negative samples help but do not substitute for more positive samples.
- ✓
Use data augmentation and transfer learning with a pre-trained model.
Why this is correct
Data augmentation increases effective dataset size, and transfer learning leverages pre-trained features.
- ✗
Increase the number of training iterations significantly.
Why it's wrong here
More iterations without more data can cause overfitting.
Go deeper
Related to this question
About these practice questions
Courseiva writes every AI-102 question from scratch — 945 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-102 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-102 exam.