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 company is using dedicated AI cluster for fine-tuning. Which TWO best practices help optimize cost?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Use the largest replica count.
Why wrong: More replicas increase cost unnecessarily.
Manually scale down the cluster when not in use.
Reduces active compute hours.
Use the managed serving endpoint instead.
Why wrong: Managed endpoint is not for fine-tuning.
Leave the cluster running continuously.
Why wrong: Increases cost due to always-on resources.
Use the smallest possible model for the task.
Smaller models require less compute resources.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Manually scale down the cluster when not in use.
Option B is correct because manually scaling down the dedicated AI cluster when not in use directly reduces compute costs by stopping idle GPU/CPU resources. In OCI Generative AI, dedicated AI clusters incur charges for provisioned capacity, so scaling down during inactivity avoids paying for unused infrastructure.
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.
Use the largest replica count.
Why it's wrong here
More replicas increase cost unnecessarily.
Manually scale down the cluster when not in use.
Why this is correct
Reduces active compute hours.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Use the managed serving endpoint instead.
Why it's wrong here
Managed endpoint is not for fine-tuning.
Leave the cluster running continuously.
Why it's wrong here
Increases cost due to always-on resources.
Use the smallest possible model for the task.
Why this is correct
Smaller models require less compute resources.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Oracle often tests the misconception that larger replica counts or continuous running improve performance, when in fact they only increase cost without accelerating fine-tuning convergence.
Detailed technical explanation
Dedicated AI clusters in OCI are provisioned with specific shapes (e.g., BM.GPU.A100-v2.8) that bill per hour regardless of utilization. Fine-tuning workloads are often intermittent, so implementing auto-scaling policies or manual stop/start schedules can reduce costs by up to 70% compared to always-on clusters. The OCI Generative AI service supports lifecycle management via the Console, CLI, or SDK to stop clusters when jobs complete.
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: Manually scale down the cluster when not in use. — Option B is correct because manually scaling down the dedicated AI cluster when not in use directly reduces compute costs by stopping idle GPU/CPU resources. In OCI Generative AI, dedicated AI clusters incur charges for provisioned capacity, so scaling down during inactivity avoids paying for unused infrastructure.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 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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