Question 72 of 991
Deploying and Managing Generative AI on OCImediumMultiple ChoiceObjective-mapped

1Z0-1127 Deploying and Managing Generative AI on OCI Practice Question

This 1Z0-1127 practice question tests your understanding of deploying and managing generative ai on oci. 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.

A company has fine-tuned a large language model using OCI Generative AI service. When attempting to deploy the model to a dedicated endpoint, the deployment fails with an error indicating insufficient capacity. Which action should be taken to resolve this issue?

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

Request a service limit increase for dedicated endpoints

The error indicates that the OCI tenancy has reached its quota for dedicated endpoints. Requesting a service limit increase is the correct action because OCI enforces service limits on dedicated endpoints to manage resource allocation, and increasing this limit allows the deployment to proceed.

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.

  • Delete existing endpoints to free capacity

    Why it's wrong here

    Unnecessary if a limit increase is possible; also disrupts existing workloads.

  • Deploy the model to a different OCI region

    Why it's wrong here

    This may avoid capacity issues but is not a direct resolution and could introduce latency.

  • Use a pre-built model instead of the fine-tuned model

    Why it's wrong here

    This disregards the value of the fine-tuned model.

  • Request a service limit increase for dedicated endpoints

    Why this is correct

    OCI allows customers to request higher limits for resources like dedicated endpoints.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Oracle OCI GenAI often tests the misconception that 'insufficient capacity' always means physical resource exhaustion, leading candidates to choose region migration or endpoint deletion, when the real issue is a configurable service limit that can be increased via a formal request.

Detailed technical explanation

How to think about this question

OCI Generative AI service uses dedicated endpoints that are provisioned with specific compute resources (e.g., GPU shapes) and are subject to tenancy-wide service limits. These limits are configurable via the OCI Console or API by submitting a service limit increase request, which is evaluated based on resource availability in the region. The error 'insufficient capacity' typically means the tenancy's limit for the specific endpoint shape (e.g., `generative-ai-dedicated-endpoint`) has been reached, not that the physical infrastructure is fully saturated.

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.

Visual reference

Client Recursive Resolver Root DNS (13 root servers) TLD DNS (.com, .org, …) Authoritative example.com query IP addr answer

What to study next

Got this wrong? Here's your next step.

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FAQ

Questions learners often ask

What does this 1Z0-1127 question test?

Deploying and Managing Generative AI on OCI — This question tests Deploying and Managing Generative AI on OCI — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Request a service limit increase for dedicated endpoints — The error indicates that the OCI tenancy has reached its quota for dedicated endpoints. Requesting a service limit increase is the correct action because OCI enforces service limits on dedicated endpoints to manage resource allocation, and increasing this limit allows the deployment to proceed.

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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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.