1Z0-1127-25 Prompt Engineering Practice Question
Which parameter controls the randomness of the model's output by adjusting the probability distribution of 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 adjusts the logits before softmax, making lower values (e.g., 0.1) more deterministic and higher values (e.g., 0.9) more random.
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 by discouraging tokens that have appeared before, but does not control overall randomness.
- ✗
Top-p
Why it's wrong here
Top-p (nucleus sampling) selects tokens from the smallest set whose cumulative probability exceeds p, but does not directly control randomness.
- ✓
Temperature
Why this is correct
Temperature scales the logits to control the randomness of token selection.
- ✗
Max tokens
Why it's wrong here
Max tokens controls the length of the output, not randomness.
Go deeper
Related to this question
About these practice questions
This 1Z0-1127-25 question is part of Courseiva's 768-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This 1Z0-1127-25 practice question is part of Courseiva's free Oracle certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the 1Z0-1127-25 exam.