1Z0-1127-25 Prompt Engineering Practice Question
A developer is using the Cohere Command R model with a preamble set to "You are a helpful assistant." The user message contains a question. The model's response is factual but lacks detail. To encourage more comprehensive answers, which modification should be made?
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
✓
Add "Provide a thorough and detailed response." to the preamble
Adding a directive in the preamble, such as "Provide thorough and detailed responses," sets the desired behavior from the start.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use a stop sequence like "\n" to force longer responses
Why it's wrong here
Stop sequences terminate generation; they don't encourage longer answers.
- ✗
Set the temperature to 0.0
Why it's wrong here
Low temperature makes output deterministic but not necessarily more detailed.
- ✓
Add "Provide a thorough and detailed response." to the preamble
Why this is correct
Preamble is the system message; instructing the model to be detailed influences its behavior.
- ✗
Increase the max_tokens parameter to 1000
Why it's wrong here
Max tokens only limits length; it doesn't encourage detail if the model stops early.
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