1Z0-1127-25 Using OCI Generative AI Service Practice Question
Which TWO deployment options are available for using fine-tuned models with OCI Generative AI service?
⚠ Common exam trap
Oracle OCI GenAI exams often test the distinction between 'serverless' as a general concept versus the specific named deployment options in OCI Generative AI, leading candidates to incorrectly select 'Serverless Endpoint' as a separate option when it is actually the underlying model for the On-Demand Endpoint.
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
✓
On-Demand Endpoint
The OCI Generative AI service provides two deployment options for fine-tuned models: On-Demand Endpoint and Managed Dedicated Endpoint. The On-Demand Endpoint (Option C) is a serverless, pay-per-token option that automatically scales, suitable for variable workloads. The Managed Dedicated Endpoint (Option E) provides a dedicated, single-tenant endpoint with guaranteed throughput and lower latency for production workloads.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Bring Your Own Container (BYOC)
Why it's wrong here
BYOC is not supported; models must be fine-tuned within OCI Gen AI.
- ✗
Serverless Endpoint
Why it's wrong here
OCI Gen AI does not offer a serverless endpoint option.
- ✓
On-Demand Endpoint
Why this is correct
On-demand endpoints are for base models but fine-tuned models can also be deployed via dedicated endpoints that use on-demand scaling.
- ✗
Edge Deployment
Why it's wrong here
Edge deployment is not available for OCI Gen AI.
- ✓
Managed Dedicated Endpoint
Why this is correct
A dedicated endpoint provides reserved compute for fine-tuned models.
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 |
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