1Z0-1127-25 Using OCI Generative AI Service Practice Question
A developer is using OCI Generative AI Service to generate code snippets. They want to ensure the output is as deterministic as possible for testing. Which combination of parameters should they use?
⚠ Common exam trap
The trap here is that candidates mistakenly think Top-p=0 (like Temperature=0) would also enforce determinism, but Top-p=0 actually removes all tokens, leading to generation failure rather than deterministic output.
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 = 0, Top-p = 1
Setting Temperature=0 makes the model deterministic by always selecting the highest-probability token, while Top-p=1 includes all tokens in the sampling pool, ensuring no additional randomness is introduced. This combination eliminates stochastic variation, making outputs repeatable for testing.
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 = 0, Top-p = 1
Why this is correct
Temperature=0 makes output deterministic; top-p=1 disables nucleus sampling.
- ✗
Temperature = 0.5, Top-p = 0.5
Why it's wrong here
Both parameters introduce variability.
- ✗
Temperature = 0, Top-p = 0
Why it's wrong here
Top-p=0 is a valid setting but may cause errors or empty outputs; top-p=1 is safer.
- ✗
Temperature = 1, Top-p = 1
Why it's wrong here
Temperature=1 introduces randomness.
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