- A
Copy the fine-tuned model to an Object Storage bucket
Why wrong: The model is already stored in the model catalog; copying to storage is unnecessary.
- B
Increase the temperature parameter in the inference request
Why wrong: Temperature is a runtime parameter, not a deployment prerequisite.
- C
Create a dedicated AI cluster with a specified number of model units
The cluster must be provisioned first to host the fine-tuned model.
- D
Delete the base model to free up capacity
Why wrong: Base model is not in the cluster; deletion is irrelevant and may cause issues.
Question 864 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.
A team fine-tuned a model using T-Few and validated it. They now want to deploy this fine-tuned model to a dedicated AI cluster for low-latency inference. What must they do FIRST?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"first"Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
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 a dedicated AI cluster with a specified number of model units
To deploy a fine-tuned model to a dedicated AI cluster for low-latency inference, you must first create the dedicated AI cluster and specify the number of model units. This cluster provides isolated compute resources that ensure consistent, low-latency performance, unlike the shared serverless endpoint. The fine-tuned model is then deployed onto this cluster, not copied to Object Storage first.
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.
- ✗
Copy the fine-tuned model to an Object Storage bucket
Why it's wrong here
The model is already stored in the model catalog; copying to storage is unnecessary.
- ✗
Increase the temperature parameter in the inference request
Why it's wrong here
Temperature is a runtime parameter, not a deployment prerequisite.
- ✓
Create a dedicated AI cluster with a specified number of model units
Why this is correct
The cluster must be provisioned first to host the fine-tuned model.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Delete the base model to free up capacity
Why it's wrong here
Base model is not in the cluster; deletion is irrelevant and may cause issues.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that you must first copy the model to Object Storage before deployment, but in OCI Generative AI, the model remains in the model catalog and is deployed directly to a dedicated cluster.
Detailed technical explanation
How to think about this question
A dedicated AI cluster in OCI Generative AI uses a specified number of model units, each representing a slice of GPU memory and compute capacity. The cluster is provisioned as a dedicated endpoint, ensuring that inference requests are not queued with other tenants' traffic, which is critical for latency-sensitive applications like real-time chatbots. The fine-tuned model is deployed to this cluster via the OCI console or API, and the cluster must be created before any deployment can occur.
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.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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 a dedicated AI cluster with a specified number of model units — To deploy a fine-tuned model to a dedicated AI cluster for low-latency inference, you must first create the dedicated AI cluster and specify the number of model units. This cluster provides isolated compute resources that ensure consistent, low-latency performance, unlike the shared serverless endpoint. The fine-tuned model is then deployed onto this cluster, not copied to Object Storage first.
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.
Are there clue words in this question I should notice?
Yes — watch for: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
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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