1Z0-1127-25 OCI Generative AI Service Practice Question
A data scientist uses OCI Generative AI Playground to test a Cohere Command R model for a summarization task. They want the summary to be concise and avoid repeating phrases. Which parameter adjustments would BEST achieve this?
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
✓
Set temperature to 0.2 and frequency penalty to 0.8
Decreasing temperature makes output more deterministic; increasing frequency penalty discourages repetition of phrases.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Set temperature to 0.5 and max tokens to 50
Why it's wrong here
Max tokens limits length but does not prevent repetition.
- ✗
Set temperature to 0.0 and frequency penalty to 0.0
Why it's wrong here
Zero frequency penalty does not discourage repetition.
- ✓
Set temperature to 0.2 and frequency penalty to 0.8
Why this is correct
Low temperature for concise output, high frequency penalty to avoid repetition.
- ✗
Set temperature to 1.0 and presence penalty to 0.0
Why it's wrong here
High temperature increases randomness, not conciseness.
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