- A
Use the on-demand token-based inference on shared infrastructure
Why wrong: Shared infrastructure may have higher latency and is not dedicated.
- B
Create an endpoint using InferenceClient to point to the dedicated cluster
An endpoint enables API calls to the model hosted on the cluster.
- C
Delete the fine-tuning job after deployment to save costs
Why wrong: Deleting the job does not affect inference costs; the cluster cost remains.
- D
Provision a Dedicated AI Cluster with sufficient model units
A dedicated cluster provides isolated resources for low-latency inference.
- E
Host the fine-tuned model on the Dedicated AI Cluster
Deploying the model to the cluster makes it available for inference.
Question 155 of 991
1Z0-1127 OCI Generative AI Service Practice Question
This 1Z0-1127 practice question tests your understanding of 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 enterprise needs to deploy a custom fine-tuned model for real-time inference with strict latency requirements. They also need to manage costs by paying only for usage. Which three steps are required to achieve this? (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
✓
Create an endpoint using InferenceClient to point to the dedicated cluster
To deploy a custom model for dedicated low-latency inference, you need a Dedicated AI Cluster, host the model on it, and create an endpoint to access it. Using shared infrastructure does not guarantee low latency. Deletion of cluster is not needed. On-demand tokens are for pay-as-you-go, not dedicated clusters.
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.
- ✗
Use the on-demand token-based inference on shared infrastructure
Why it's wrong here
Shared infrastructure may have higher latency and is not dedicated.
- ✓
Create an endpoint using InferenceClient to point to the dedicated cluster
Why this is correct
An endpoint enables API calls to the model hosted on the cluster.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Delete the fine-tuning job after deployment to save costs
Why it's wrong here
Deleting the job does not affect inference costs; the cluster cost remains.
- ✓
Provision a Dedicated AI Cluster with sufficient model units
Why this is correct
A dedicated cluster provides isolated resources for low-latency inference.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Host the fine-tuned model on the Dedicated AI Cluster
Why this is correct
Deploying the model to the cluster makes it available for inference.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
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
How to think about this question
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.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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
Got this wrong? Here's your next step.
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
Questions learners often ask
What does this 1Z0-1127 question test?
OCI Generative AI Service — This question tests 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: Create an endpoint using InferenceClient to point to the dedicated cluster — To deploy a custom model for dedicated low-latency inference, you need a Dedicated AI Cluster, host the model on it, and create an endpoint to access it. Using shared infrastructure does not guarantee low latency. Deletion of cluster is not needed. On-demand tokens are for pay-as-you-go, not dedicated clusters.
What should I do if I get this 1Z0-1127 question wrong?
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.
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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