Question 374 of 991
Using OCI Generative AI ServicemediumMultiple SelectObjective-mapped

1Z0-1127 Using OCI Generative AI Service Practice Question

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.

Which TWO configurations are required to use a custom fine-tuned model on OCI Gen AI?

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

A dedicated AI cluster

A dedicated AI cluster is required to host a custom fine-tuned model on OCI Generative AI because fine-tuned models are deployed on dedicated, single-tenant infrastructure that provides guaranteed compute capacity and isolation. Without a dedicated AI cluster, the model cannot be served for inference, as OCI Gen AI does not support serverless or shared endpoints for custom models.

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.

  • A security list

    Why it's wrong here

    Security lists are for network access control, not a requirement for using custom models.

  • A dedicated AI cluster

    Why this is correct

    Required for fine-tuning and hosting custom models.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Training data in Object Storage

    Why this is correct

    Training data must be accessible via Object Storage.

    Related concept

    Read the scenario before looking for a memorised answer.

  • An API key

    Why it's wrong here

    API key is needed for any API call but not specific to custom model usage.

  • A serverless endpoint

    Why it's wrong here

    Serverless endpoint cannot host custom models; dedicated cluster is mandatory.

Common exam traps

Common exam trap: answer the scenario, not the keyword

A common misconception is that a serverless endpoint can host custom fine-tuned models, but OCI Gen AI requires a dedicated AI cluster for custom model deployment, while only base models can use serverless endpoints.

Detailed technical explanation

How to think about this question

Under the hood, a dedicated AI cluster in OCI Gen AI is a set of GPU compute nodes (e.g., using NVIDIA A100 or H100) provisioned in a customer's tenancy, providing low-latency inference and data isolation. The training data stored in Object Storage is used during the fine-tuning job, but the model artifact itself is stored in the cluster's attached block storage. In a real-world scenario, if you attempt to deploy a fine-tuned model without a dedicated cluster, the API will return a 400 error indicating that the model cannot be served on a shared endpoint.

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

ModelYou ManageProvider ManagesExamples
IaaSOS, runtime, apps, dataHardware, hypervisor, networkingEC2, Azure VMs, GCP Compute Engine
PaaSApps and dataOS, runtime, middleware, hardwareElastic Beanstalk, Azure App Service
SaaSData and settings onlyEverything elseMicrosoft 365, Salesforce, Workday
FaaS / ServerlessFunction code onlyInfra, scaling, runtimeLambda, Azure Functions, Cloud Run
CaaSContainers and appsKubernetes, OS, hardwareEKS, AKS, GKE

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: A dedicated AI cluster — A dedicated AI cluster is required to host a custom fine-tuned model on OCI Generative AI because fine-tuned models are deployed on dedicated, single-tenant infrastructure that provides guaranteed compute capacity and isolation. Without a dedicated AI cluster, the model cannot be served for inference, as OCI Gen AI does not support serverless or shared endpoints for custom models.

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

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