Quick Answer
The answer is the max_tokens parameter. This parameter directly limits the number of tokens—words or subwords—the model can generate in its output, making it the precise tool for controlling summary length. When summarizing long legal documents, setting a lower max_tokens value forces the model to condense the text while retaining key information, as the model must prioritize the most critical content within the token budget. On the Oracle Cloud Infrastructure Generative AI Professional 1Z0-1127 exam, this question tests your understanding of inference parameters versus prompt engineering; a common trap is confusing max_tokens with temperature (which controls randomness) or top_p (which controls vocabulary diversity). Remember that max_tokens is a hard cap on output length, not a measure of creativity. A useful memory tip: think of max_tokens as a “word limit” for the AI’s response—just like a word count in a writing assignment, it forces conciseness.
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.
An organization wants to use OCI Generative AI to summarize long legal documents. They need to ensure the summary is concise and retains key information. Which model parameter should they set to control the length of the summary?
frequency_penalty
Why wrong: Frequency penalty reduces repetition, not length.
max_tokens
Max_tokens sets the maximum number of tokens in the output.
top_p
Why wrong: Top_p controls nucleus sampling, not length.
temperature
Why wrong: Temperature controls randomness, not length.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
max_tokens
The max_tokens parameter limits the number of tokens in the generated output, directly controlling summary length.
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.
frequency_penalty
Why it's wrong here
Frequency penalty reduces repetition, not length.
max_tokens
Why this is correct
Max_tokens sets the maximum number of tokens in the output.
Related concept
Read the scenario before looking for a memorised answer.
top_p
Why it's wrong here
Top_p controls nucleus sampling, not length.
temperature
Why it's wrong here
Temperature controls randomness, not length.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
Identify which 1Z0-1127 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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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: max_tokens — The max_tokens parameter limits the number of tokens in the generated output, directly controlling summary length.
Identify which 1Z0-1127 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 23, 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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