This 1Z0-1127 practice question tests your understanding of fundamentals of large language models. 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.
A company wants to use OCI Generative AI to summarize customer reviews. Which model parameter should be adjusted to control the creativity of the summary?
Temperature
Temperature directly controls randomness and creativity.
Frequency penalty
Why wrong: Frequency penalty discourages repetition, not overall creativity.
Top-k
Why wrong: Top-k limits the number of tokens considered, affecting diversity but not creativity directly.
Presence penalty
Why wrong: Presence penalty encourages new topics, but temperature is the primary control for creativity.
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
Temperature controls the randomness of token selection in the model's output distribution. A higher temperature (e.g., 0.9) makes the summary more creative and diverse, while a lower temperature (e.g., 0.1) makes it more deterministic and focused. For summarizing customer reviews, adjusting temperature directly influences how novel or conservative the generated text will be.
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.
Temperature
Why this is correct
Temperature directly controls randomness and creativity.
Related concept
Read the scenario before looking for a memorised answer.
Frequency penalty
Why it's wrong here
Frequency penalty discourages repetition, not overall creativity.
Top-k
Why it's wrong here
Top-k limits the number of tokens considered, affecting diversity but not creativity directly.
Presence penalty
Why it's wrong here
Presence penalty encourages new topics, but temperature is the primary control for creativity.
Common exam traps
Oracle often tests the distinction between parameters that control randomness (temperature) versus those that control repetition (frequency/presence penalties) or sampling pool size (top-k), leading candidates to confuse diversity with creativity.
Detailed technical explanation
Temperature works by scaling the logits (raw scores) before applying the softmax function: logits = logits / temperature. At temperature = 1.0, the original probability distribution is used; at temperature > 1.0, the distribution becomes more uniform (higher entropy), increasing randomness; at temperature < 1.0, it becomes more peaked (lower entropy), making the model more confident in top choices. In OCI Generative AI, temperature is a key hyperparameter for balancing coherence versus creativity in summarization tasks.
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
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FAQ
Fundamentals of Large Language Models — This question tests Fundamentals of Large Language Models — Read the scenario before looking for a memorised answer..
The correct answer is: Temperature — Temperature controls the randomness of token selection in the model's output distribution. A higher temperature (e.g., 0.9) makes the summary more creative and diverse, while a lower temperature (e.g., 0.1) makes it more deterministic and focused. For summarizing customer reviews, adjusting temperature directly influences how novel or conservative the generated text will be.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 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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