- A
Temperature = 0, Top-p = 1
Temperature=0 makes output deterministic; top-p=1 disables nucleus sampling.
- B
Temperature = 0.5, Top-p = 0.5
Why wrong: Both parameters introduce variability.
- C
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.
- D
Temperature = 1, Top-p = 1
Why wrong: Temperature=1 introduces randomness.
Question 845 of 991
1Z0-1127 Using OCI Generative AI Service Practice Question
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?
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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
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
Common exam trap: answer the scenario, not the keyword
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
How to think about this question
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.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the 1Z0-1127 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
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FAQ
Questions learners often ask
What does this 1Z0-1127 question test?
Using OCI Generative AI Service — This question tests Using OCI Generative AI Service — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
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.
What should I do if I get this 1Z0-1127 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
This 1Z0-1127 practice question is part of Courseiva's free Oracle certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the 1Z0-1127 exam.
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