1Z0-1127-25 Prompt Engineering Practice Question
What is the primary purpose of setting a low temperature (e.g., 0.1) when generating text with an LLM?
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
✓
Make responses more deterministic and focused
Temperature controls randomness; low values make the model deterministic and focused on the most likely tokens, which is ideal for factual tasks.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Make responses more deterministic and focused
Why this is correct
Correct: low temperature concentrates probability on high-likelihood tokens.
- ✗
Increase creativity and diversity of responses
Why it's wrong here
Low temperature decreases creativity.
- ✗
Enable the model to use external tools
Why it's wrong here
Temperature does not enable tool use.
- ✗
Reduce the maximum number of tokens generated
Why it's wrong here
Temperature does not affect max tokens.
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