1Z0-1127-25 Prompt Engineering Practice Question
A prompt engineer wants to use chain-of-thought prompting to improve arithmetic reasoning. Which TWO steps are essential for implementing this technique?
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
✓
Provide a few-shot example that includes step-by-step reasoning
Chain-of-thought requires the model to output intermediate reasoning steps, and providing an example with reasoning helps guide the model.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Provide a few-shot example that includes step-by-step reasoning
Why this is correct
Few-shot examples with reasoning demonstrate the pattern.
- ✗
Add a stop sequence after the final answer
Why it's wrong here
Stop sequences are not part of chain-of-thought implementation.
- ✗
Use a large max_tokens value to allow long output
Why it's wrong here
While helpful, it is not a core essential; many correct responses fit within typical limits.
- ✗
Set temperature to 0.0 for deterministic reasoning
Why it's wrong here
Temperature can be low, but it's not essential; chain-of-thought works even with nonzero temperature.
- ✓
Instruct the model to think step by step before answering
Why this is correct
The key instruction for chain-of-thought is to elicit step-by-step reasoning.
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