AI0-001 AI Security, Ethics and Governance Practice Question
An AI model's performance drops significantly in production compared to testing. The data shows distribution shift. What is the best first step?
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
✓
Retrain model with new data
(Retrain model with new data) is correct because retraining with more representative data adapts to distribution shift. Option A (Add more features) may not address the shift. Option C (Change algorithm) is a larger change without addressing data. Option D (Reduce model complexity) might worsen performance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Add more features
Why it's wrong here
Adding features may not fix distribution shift.
- ✓
Retrain model with new data
Why this is correct
Retraining with current data addresses drift.
- ✗
Use a different algorithm
Why it's wrong here
Changing algorithm is premature without addressing data.
- ✗
Reduce model complexity
Why it's wrong here
Reducing complexity may harm performance further.
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.