1Z0-1127-25 Deploying and Managing Generative AI on OCI Practice Question
Your organization uses OCI Data Science to train a generative AI model for code generation. After training, you want to deploy it as a REST API. You create a model deployment using the OCI console, but after 30 minutes the deployment status is still 'Creating'. You check the logs and see the message: 'Insufficient capacity for shape VM.GPU.A10.1 in availability domain AD-1'. The deployment is configured with a single replica. You have verified your tenancy has sufficient service limits for GPU instances. What should you do to resolve this issue quickly?
⚠ Common exam trap
Test-takers frequently confuse service limits with capacity availability, assuming a limit increase will fix the issue, when in fact the error explicitly states 'Insufficient capacity' for the shape, not a limit breach.
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
✓
Change the deployment to use a different GPU shape, such as VM.GPU.A10.2
The error indicates that the specific GPU shape VM.GPU.A10.1 lacks capacity in the current availability domain. Switching to a different GPU shape, such as VM.GPU.A10.2, which uses a different instance configuration, can bypass the capacity constraint without requiring a region change or service limit increase. This is the fastest resolution because it directly addresses the availability domain capacity issue while keeping the deployment in the same region and AD.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Change the deployment to use a different GPU shape, such as VM.GPU.A10.2
Why this is correct
A different GPU shape may have available capacity in the same availability domain.
- ✗
Delete the deployment and create it in a different region with more GPU capacity
Why it's wrong here
This is a drastic step and may introduce latency; not the first action.
- ✗
Request a service limit increase for GPU shapes
Why it's wrong here
Service limits are not the issue; the error is about capacity, not limits.
- ✗
Wait for 1 hour and check again; capacity may become available
Why it's wrong here
Capacity shortages may persist; waiting is not a reliable solution.
Visual reference
Go deeper
Related to this question
About these practice questions
Courseiva writes every 1Z0-1127-25 question from scratch — 768 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This 1Z0-1127-25 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 1Z0-1127-25 exam.