1Z0-1127-25 Deploying and Managing Generative AI on OCI Practice Question
A team is deploying a generative AI model using OCI Functions for serverless inference. They are experiencing cold start latency of over 10 seconds for the first invocation after idle periods. What is the best strategy to reduce cold start latency?
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 provisioned concurrency to keep a set number of function instances warm.
OCI Functions supports provisioned concurrency, which keeps a specified number of instances warm. Option A (increasing memory) can reduce cold start but not as effectively. Option C (reducing timeout) might cause failures. Option D (using OCI Data Flow) is for data processing, not inference.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Migrate the inference to OCI Data Flow for better performance.
Why it's wrong here
Data Flow is for big data processing, not real-time inference.
- ✓
Use provisioned concurrency to keep a set number of function instances warm.
Why this is correct
Provisioned concurrency eliminates cold start by pre-warming instances.
- ✗
Reduce the function timeout to force faster execution.
Why it's wrong here
Reducing timeout does not affect cold start and may cause errors.
- ✗
Increase the memory allocation for the function.
Why it's wrong here
More memory can speed up cold start but provisioned concurrency is more direct.
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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