1Z0-1127-25 Prompt Engineering Practice Question
Which parameter controls the randomness of the model's output by scaling the probability distribution before sampling?
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 the logits before softmax, affecting creativity. Higher values increase randomness; lower values make output more deterministic.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
top-k
Why it's wrong here
Top-k limits the number of tokens considered to the k most likely.
- ✓
temperature
Why this is correct
Temperature adjusts the softmax distribution's sharpness, directly controlling randomness.
- ✗
frequency_penalty
Why it's wrong here
Frequency penalty discourages the model from repeating tokens based on frequency.
- ✗
top-p
Why it's wrong here
Top-p (nucleus sampling) selects tokens with cumulative probability up to p.
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