AI0-001 AI Concepts and Techniques Practice Question
A developer is using a large language model via an API. They want the model to solve a math problem step by step. Which prompt engineering technique should they use?
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
✓
Chain-of-thought prompting
Chain-of-thought prompting encourages the model to show intermediate reasoning steps, improving accuracy on multi-step problems. Zero-shot gives no examples; few-shot provides examples but not necessarily step-by-step; temperature controls randomness.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Set temperature to 0.9
Why it's wrong here
Temperature controls randomness, not reasoning structure; high temperature may reduce accuracy.
- ✓
Chain-of-thought prompting
Why this is correct
Chain-of-thought prompts the model to output intermediate reasoning steps, which improves performance on arithmetic and logic problems.
- ✗
Few-shot prompting
Why it's wrong here
Few-shot provides examples but does not explicitly encourage step-by-step reasoning unless the examples include it.
- ✗
Zero-shot prompting
Why it's wrong here
Zero-shot gives no guidance on reasoning steps, often leading to incorrect answers for complex math.
About these practice questions
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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.