AI0-001 Implementing AI Solutions Practice Question
A data scientist is training a binary classifier and observes that the training accuracy is 99% but the test accuracy is only 70%. Which of the following 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
✓
The model is overfitting the training data
A large gap between training and test accuracy indicates overfitting: the model memorized training data but fails to generalize.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The model is underfitting the training data
Why it's wrong here
Underfitting would show low training accuracy, not high.
- ✗
The learning rate is too high
Why it's wrong here
A high learning rate can cause divergence or poor convergence, but the symptom is usually low accuracy on both sets.
- ✓
The model is overfitting the training data
Why this is correct
High training accuracy with much lower test accuracy is classic overfitting.
- ✗
The test set contains data leakage from the training set
Why it's wrong here
Data leakage would typically cause test accuracy to be artificially high, not lower.
About these practice questions
Courseiva writes every AI0-001 question from scratch — 754 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 AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.