Quick Answer
The answer is temperature. In OCI Generative AI, the temperature parameter controls text diversity by scaling the probability distribution over tokens; a temperature value above 1 flattens this distribution, increasing the likelihood of selecting less probable tokens and thereby producing more varied, creative outputs. This directly addresses the search intent around temperature parameter diversity in OCI GenAI, as it is the primary knob for adjusting randomness versus determinism. On the Oracle Cloud Infrastructure Generative AI Professional 1Z0-1127 exam, this concept often appears as a straightforward definition question, but the common trap is confusing temperature with top_p (nucleus sampling) or top_k (token cutoff), both of which also influence diversity but through different mechanisms—temperature reshapes probabilities, while top_p and top_k filter the candidate set. A reliable memory tip: think of temperature like a thermostat for creativity—higher heat means more randomness, lower heat means more predictable, focused text.
This 1Z0-1127 practice question tests your understanding of using oci generative ai service. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which OCI Generative AI parameter controls the diversity of generated text by increasing the probability of less likely tokens?
frequency_penalty
Why wrong: Frequency penalty reduces the likelihood of tokens that have already appeared.
top_k
Why wrong: Top_k limits the next token selection to the K most likely tokens.
temperature
Higher temperature increases randomness by scaling logits before softmax.
top_p
Why wrong: Top_p (nucleus sampling) selects from the smallest set of tokens whose cumulative probability exceeds p.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
temperature
Option C is correct: Temperature above 1 increases randomness. Option A (top_p) is nucleus sampling, option B (top_k) limits to top K tokens, option D (frequency_penalty) reduces repetition.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
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 the likelihood of tokens that have already appeared.
top_k
Why it's wrong here
Top_k limits the next token selection to the K most likely tokens.
temperature
Why this is correct
Higher temperature increases randomness by scaling logits before softmax.
Related concept
Read the scenario before looking for a memorised answer.
top_p
Why it's wrong here
Top_p (nucleus sampling) selects from the smallest set of tokens whose cumulative probability exceeds p.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A practitioner preparing for the 1Z0-1127 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Identify which 1Z0-1127 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Using OCI Generative AI Service — This question tests Using OCI Generative AI Service — Read the scenario before looking for a memorised answer..
The correct answer is: temperature — Option C is correct: Temperature above 1 increases randomness. Option A (top_p) is nucleus sampling, option B (top_k) limits to top K tokens, option D (frequency_penalty) reduces repetition.
Identify which 1Z0-1127 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 23, 2026
This 1Z0-1127 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 exam.
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