Fundamentals of Large Language Models →hardMultiple ChoiceObjective-mapped

1Z0-1127-25 Fundamentals of Large Language Models Practice Question

During multi-turn conversation with an OCI GenAI model, the model repeats user messages from earlier turns. What is the most likely cause?

⚠ Common exam trap

Oracle often tests the distinction between presence penalty (which penalizes any occurrence) and frequency penalty (which penalizes based on count), leading candidates to mistakenly think a high frequency penalty causes repetition when it actually prevents it.

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

✓

Low presence penalty

A low presence penalty reduces the model's incentive to avoid repeating previously mentioned content. In multi-turn conversations, this can cause the model to echo user messages from earlier turns because the penalty is too weak to discourage repetition of tokens that have already appeared in the context window.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
Low top-p
Why it's wrong here
Low top-p reduces diversity but does not directly cause repetition of user messages.
✗
High temperature
Why it's wrong here
High temperature increases randomness but not necessarily repetition.
✓
Low presence penalty
Why this is correct
Low presence penalty means the model is less penalized for repeating topics, leading to repetition.
✗
High frequency penalty
Why it's wrong here
High frequency penalty reduces repetition, not causes it.

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1Z0-1127-25 Fundamentals of Large Language Models Practice Question

Why each option matters

Option-by-option breakdown

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