AI0-001 AI Concepts and Techniques Practice Question
An AI engineer is fine-tuning a transformer-based language model for a domain-specific task. They want to improve the model's factual accuracy and reduce hallucinations. Which THREE strategies should they consider? (Select THREE)
⚠ Common exam trap
The CompTIA AI+ exam often tests the misconception that increasing randomness (higher temperature) or extending context windows beyond training limits can improve factual accuracy, when in fact these techniques degrade reliability.
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
✓
Fine-tune the model on a curated domain-specific corpus
Fine-tuning on a curated domain-specific corpus directly aligns the model with the factual patterns and terminology of the target domain. This supervised learning process adjusts the model's weights to reduce the probability of generating incorrect or hallucinated content by reinforcing ground-truth examples from the domain.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the model's context window size beyond the training limit
Why it's wrong here
Extending context beyond training length can degrade performance and increase hallucinations.
- ✓
Fine-tune the model on a curated domain-specific corpus
Why this is correct
Fine-tuning adapts the model's knowledge to the domain, improving accuracy.
- ✗
Use a higher temperature setting during generation
Why it's wrong here
Higher temperature increases randomness, potentially increasing hallucinations.
- ✓
Apply chain-of-thought prompting for complex queries
Why this is correct
Chain-of-thought encourages step-by-step reasoning, reducing factual errors.
- ✓
Implement Retrieval-Augmented Generation (RAG)
Why this is correct
RAG retrieves relevant documents to ground the model's output, reducing hallucinations.
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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.