1Z0-1127-25 Fundamentals of Large Language Models Practice Question
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?
⚠ Common exam trap
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.
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 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.
Answer analysis
Option-by-option breakdown
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.
- ✗
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.
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