1Z0-1127-25 Prompt Engineering Practice Question
A practitioner is developing a legal document summarization system and needs to reduce hallucinations. Which prompting technique is most effective for improving factual accuracy by exploring multiple reasoning paths?
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
✓
Self-consistency prompting
Self-consistency generates several reasoning chains and aggregates the results, increasing reliability and reducing hallucinations in tasks requiring factual accuracy.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Few-shot prompting
Why it's wrong here
Few-shot uses examples but does not explicitly explore multiple reasoning paths.
- ✓
Self-consistency prompting
Why this is correct
Self-consistency samples multiple chain-of-thought outputs and picks the most consistent answer, improving factual accuracy.
- ✗
Zero-shot prompting
Why it's wrong here
Zero-shot provides no examples and can lead to inconsistent output.
- ✗
Chain-of-thought prompting
Why it's wrong here
Chain-of-thought encourages step-by-step reasoning but only one path.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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