Quick Answer
The answer is to increase the frequency penalty. This parameter directly reduces repetition by subtracting a fixed value from the log-probability of each token every time it appears in the generated text, making repeated phrases less likely to be selected. On the Oracle Cloud Infrastructure Generative AI Professional 1Z0-1127 exam, this tests your understanding of how to control output diversity versus coherence—a common trap is confusing frequency penalty with presence penalty, which only penalizes a token once regardless of how often it repeats. Remember that frequency penalty scales with repetition count, making it the most direct tool to reduce repetition in OCI Generative AI. Memory tip: think “frequency = frequent flier penalty”—the more a token flies by, the more it gets taxed.
This 1Z0-1127 practice question tests your understanding of using oci generative ai service. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 data scientist is using OCI Generative AI Service to generate product descriptions. They notice that the output often repeats phrases. Which parameter adjustment would MOST directly address this issue?
Increase the temperature
Why wrong: Higher temperature increases randomness but does not directly reduce repetition.
Increase the max tokens
Why wrong: Max tokens limits output length, does not affect repetition.
Increase the frequency penalty
Frequency penalty penalizes tokens that have already appeared, reducing repetition.
Decrease the top-p value
Why wrong: Lower top-p reduces the set of candidate tokens, may increase repetition.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Increase the frequency penalty
Option C is correct because the frequency penalty directly reduces the likelihood of the model repeating the same phrases by penalizing tokens that have already appeared in the generated text. In OCI Generative AI Service, this parameter subtracts a fixed value from the log-probability of each token each time it is generated, making repeated tokens less likely to be chosen again. This is the most direct mechanism to address repetitive output.
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.
Increase the temperature
Why it's wrong here
Higher temperature increases randomness but does not directly reduce repetition.
Increase the max tokens
Why it's wrong here
Max tokens limits output length, does not affect repetition.
Increase the frequency penalty
Why this is correct
Frequency penalty penalizes tokens that have already appeared, reducing repetition.
Related concept
Read the scenario before looking for a memorised answer.
Decrease the top-p value
Why it's wrong here
Lower top-p reduces the set of candidate tokens, may increase repetition.
Common exam traps
Oracle often tests the distinction between frequency penalty and temperature, where candidates mistakenly think increasing randomness (temperature) will reduce repetition, but temperature actually increases variability without targeting repetition directly.
Trap categories for this question
Command / output trap
Max tokens limits output length, does not affect repetition.
Detailed technical explanation
The frequency penalty in OCI Generative AI Service operates by applying a penalty proportional to the count of each token's prior occurrences in the generated sequence, typically using a formula like logit = logit - penalty * count. This differs from the presence penalty, which applies a fixed penalty once per token regardless of frequency. In real-world scenarios, such as generating product descriptions for an e-commerce catalog, a frequency penalty of 0.5 to 1.0 can effectively eliminate repetitive phrases like 'high-quality' appearing in every sentence while preserving coherent structure.
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
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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: Increase the frequency penalty — Option C is correct because the frequency penalty directly reduces the likelihood of the model repeating the same phrases by penalizing tokens that have already appeared in the generated text. In OCI Generative AI Service, this parameter subtracts a fixed value from the log-probability of each token each time it is generated, making repeated tokens less likely to be chosen again. This is the most direct mechanism to address repetitive output.
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 30, 2026
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