- A
Using a smaller model
Smaller models have lower per-token pricing.
- B
Increasing temperature
Why wrong: Temperature does not affect token count or cost.
- C
Using stop sequences
Stop sequences can truncate generation early, saving tokens.
- D
Setting max_tokens limit
Limits output tokens, directly reducing cost.
- E
Enabling response streaming
Why wrong: Streaming does not reduce the total number of tokens generated.
Question 371 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.
Which THREE OCI Generative AI service features help in controlling the cost of API calls? (Select three.)
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
✓
Using a smaller model
Using a smaller model (Option A) reduces cost because OCI Generative AI service pricing is based on model size and compute resources required. Smaller models have fewer parameters, leading to lower per-token inference costs, making them ideal for simpler tasks where high accuracy is not critical.
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.
- ✓
Using a smaller model
Why this is correct
Smaller models have lower per-token pricing.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Increasing temperature
Why it's wrong here
Temperature does not affect token count or cost.
- ✓
Using stop sequences
Why this is correct
Stop sequences can truncate generation early, saving tokens.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Setting max_tokens limit
Why this is correct
Limits output tokens, directly reducing cost.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Enabling response streaming
Why it's wrong here
Streaming does not reduce the total number of tokens generated.
Common exam traps
Common exam trap: answer the scenario, not the keyword
A common misconception is that response streaming reduces cost, but streaming only affects delivery method, not the total number of tokens generated or billed.
Detailed technical explanation
How to think about this question
Under the hood, OCI Generative AI models charge per token processed (input + output). Setting max_tokens (Option D) caps the output length, directly limiting billable tokens. Stop sequences (Option C) terminate generation early when a specific token pattern is encountered, preventing unnecessary token consumption. Smaller models (Option A) have fewer parameters, reducing the computational cost per token, which is reflected in lower pricing tiers.
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: Using a smaller model — Using a smaller model (Option A) reduces cost because OCI Generative AI service pricing is based on model size and compute resources required. Smaller models have fewer parameters, leading to lower per-token inference costs, making them ideal for simpler tasks where high accuracy is not critical.
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: Jul 4, 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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