1Z0-1127-25 Prompt Engineering Practice Question
Which parameter controls the creativity and randomness of a model's output by adjusting the probability distribution before sampling the next token?
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
✓
Temperature
Temperature scales logits before softmax; higher values increase randomness.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Frequency penalty
Why it's wrong here
Frequency penalty reduces repetition of already used tokens, not overall randomness.
- ✗
Max tokens
Why it's wrong here
Max tokens caps output length, not randomness.
- ✓
Temperature
Why this is correct
Temperature directly controls the randomness of token selection.
- ✗
Top-k
Why it's wrong here
Top-k limits sampling to the k highest probability tokens; it does not adjust the distribution shape.
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