AI0-001 AI Concepts and Techniques Practice Question
A healthcare startup is building a diagnostic support system using a large language model. The system must provide accurate, evidence-based answers and avoid generating harmful or fabricated information. Which THREE techniques should be implemented to achieve this? (Choose 3)
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
✓
Retrieval-Augmented Generation (RAG)
RAG grounds answers in retrieved evidence, fine-tuning can align with medical domain, and prompt engineering can enforce accuracy and safety.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Retrieval-Augmented Generation (RAG)
Why this is correct
RAG retrieves relevant medical literature to ground responses.
- ✗
Disabling output filtering to speed up generation
Why it's wrong here
Filtering is critical to block harmful content; disabling it is unsafe.
- ✓
Using chain-of-thought prompting for reasoning steps
Why this is correct
Chain-of-thought encourages step-by-step reasoning, improving accuracy and explainability.
- ✗
Increasing the temperature parameter to encourage creativity
Why it's wrong here
Higher temperature increases randomness, which is dangerous in medical advice.
- ✓
Fine-tuning on medical textbooks and guidelines
Why this is correct
Fine-tuning improves domain-specific knowledge and reduces hallucinations.
About these practice questions
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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.