1Z0-1127-25 OCI Generative AI Service Practice Question
An organization needs to deploy a custom fine-tuned model for real-time inference with consistent low latency, and they must keep the model isolated from other tenants. Which deployment option should they choose?
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
✓
Provision a dedicated AI cluster with model units
A dedicated AI cluster provides exclusive, low-latency inference for custom models.
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 shared infrastructure endpoint with an on-demand serving
Why it's wrong here
Shared infrastructure may have variable latency and no isolation.
- ✓
Provision a dedicated AI cluster with model units
Why this is correct
Dedicated cluster ensures isolation and low-latency dedicated inference.
- ✗
Deploy the model on OCI Data Science using a custom container
Why it's wrong here
OCI Data Science is not part of the GenAI service for managed inference.
- ✗
Use the OCI Generative AI Agents service
Why it's wrong here
Agents is for RAG, not for hosting custom fine-tuned models.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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