1Z0-1127-25 Deploying and Managing Generative AI on OCI Practice Question
A startup wants to minimize costs when using OCI Generative AI service for a chatbot application that experiences sporadic usage. Which deployment strategy is most cost-effective?
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
✓
Use the serverless on-demand API without dedicated endpoints
Serverless on-demand pricing charges only for usage, ideal for sporadic workloads. Option A is wrong because dedicated endpoints incur hourly costs regardless of usage. Option C is wrong because pre-built models may also have per-request costs but dedicated endpoints are not cost-effective. Option D is wrong because running models on OCI Compute adds management overhead and costs.
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 a pre-built model with a dedicated endpoint
Why it's wrong here
Pre-built models can be used via on-demand, but dedicated endpoint is unnecessary.
- ✓
Use the serverless on-demand API without dedicated endpoints
Why this is correct
Pay per request, no idle costs.
- ✗
Provision a dedicated endpoint for low latency
Why it's wrong here
Dedicated endpoints have hourly costs, even when idle.
- ✗
Deploy the model on OCI Compute with autoscaling
Why it's wrong here
Adds operational overhead and may not be as simple as the managed service.
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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Senior Network & Security Engineer · founder of Courseiva
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