AI0-001 AI Implementation and Operations Practice Question
A small business launched a customer support chatbot powered by a pre-trained language model. The chatbot was fine-tuned on a dataset of past support tickets. For the first week, it performed well, accurately answering 85% of queries. After a routine software update that included a new version of the underlying language model library, the chatbot's accuracy dropped to 60% and it began giving nonsensical responses to some questions. The update did not change any code or configuration specific to the chatbot. The business has a backup of the previous environment. What is the MOST appropriate immediate action?
⚠ Common exam trap
CompTIA often tests the misconception that retraining or adjusting hyperparameters can fix a regression caused by an underlying library change, when the immediate and correct action is to roll back to the known-good environment.
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
✓
Roll back the software update to the previous version of the language model library.
The most appropriate immediate action is to roll back the software update to the previous version of the language model library (Option D). The accuracy drop and nonsensical responses are directly caused by the library update, which likely changed internal model behavior (e.g., tokenization, attention mechanisms, or default hyperparameters) without any code or configuration changes. Restoring the previous environment immediately resolves the issue and allows the business to investigate the library changes in a controlled manner.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Retrain the chatbot on the original dataset using the new library version.
Why it's wrong here
Retraining may not resolve compatibility issues and takes time; rollback is faster.
- ✗
Add more intents to the chatbot's configuration to cover the errors.
Why it's wrong here
Intents are for classification, not for fixing language generation issues caused by library changes.
- ✗
Increase the model's temperature parameter to 1.5 to encourage more varied responses.
Why it's wrong here
Higher temperature increases randomness and would likely worsen nonsensical outputs.
- ✓
Roll back the software update to the previous version of the language model library.
Why this is correct
The update likely introduced a regression; rolling back restores functionality immediately.
Visual reference
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.