1Z0-1127-25 Prompt Engineering Practice Question
A prompt engineer is developing a multi-step reasoning application using the ReAct pattern. The model sometimes outputs incomplete reasoning or forgets to perform an action. Which improvement to the prompt is MOST likely to address this issue?
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
✓
Include a template pattern in the system prompt that explicitly defines the format for each step
Providing a clear template that structures the reasoning and action steps (e.g., 'Thought: ... Action: ... Observation: ...') helps the model follow the ReAct pattern consistently. Role prompting alone does not enforce the step-by-step structure.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Add a system message that says 'You are a reasoning agent'
Why it's wrong here
Role prompting helps but does not enforce the specific ReAct structure.
- ✗
Use a zero-shot prompt with the instruction 'Reason step by step and then act'
Why it's wrong here
Zero-shot may not provide enough guidance for consistent multi-step reasoning.
- ✓
Include a template pattern in the system prompt that explicitly defines the format for each step
Why this is correct
A template pattern provides a clear structure for the model to follow, reducing omissions.
- ✗
Increase the temperature to 0.8 to allow more creative reasoning
Why it's wrong here
Higher temperature may introduce random deviations, making the problem worse.
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