Quick Answer
The correct combination is Temperature = 0 and Top-p = 1. Setting Temperature to zero forces the model to always select the token with the highest probability, eliminating any randomness in the sampling process, while Top-p set to 1 ensures the entire probability distribution is considered, meaning no tokens are filtered out or re-weighted. Together, these parameters guarantee deterministic generation, producing identical outputs for the same input every time—a critical requirement for reliable testing and debugging. On the Oracle Cloud Infrastructure Generative AI Professional 1Z0-1127 exam, this concept tests your understanding of how sampling parameters control stochasticity versus repeatability; a common trap is assuming Top-p=0 also increases determinism, but that actually restricts the token pool and can introduce instability. Remember the mnemonic: “Zero heat, full pool—output stays cool and predictable.”
This 1Z0-1127 practice question tests your understanding of using oci generative ai service. 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 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?
Temperature = 0, Top-p = 1
Temperature=0 makes output deterministic; top-p=1 disables nucleus sampling.
Temperature = 0.5, Top-p = 0.5
Why wrong: Both parameters introduce variability.
Temperature = 0, Top-p = 0
Why wrong: 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 wrong: Temperature=1 introduces randomness.
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 = 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.
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 = 0, Top-p = 1
Why this is correct
Temperature=0 makes output deterministic; top-p=1 disables nucleus sampling.
Related concept
Read the scenario before looking for a memorised answer.
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.
Common exam traps
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.
Trap categories for this question
Command / output trap
Top-p=0 is a valid setting but may cause errors or empty outputs; top-p=1 is safer.
Detailed technical explanation
Under the hood, Temperature scales the logits before softmax; a value of 0 effectively collapses the distribution to a single token (argmax). Top-p (nucleus sampling) filters the cumulative probability mass; setting it to 1 means no filtering occurs. In practice, for unit testing code generation, Temperature=0 ensures reproducibility, while Top-p=1 avoids unintended truncation of the token set.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.
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FAQ
Using OCI Generative AI Service — This question tests Using OCI Generative AI Service — Read the scenario before looking for a memorised answer..
The correct answer is: 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.
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 24, 2026
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