1Z0-1127-25 OCI Generative AI Service Practice Question
A team fine-tuned a Cohere Command R model in OCI GenAI and validated it. They now need to deploy it for production inference with a dedicated endpoint. What is the correct sequence of steps?
⚠ Common exam trap
Many exam-takers confuse the order of provisioning infrastructure versus deploying the model, mistakenly thinking the endpoint can be created first and then attached to a cluster later, but OCI GenAI requires the cluster to exist and the model to be deployed before the endpoint can be created.
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, deploy the model to the cluster, then create an endpoint
In OCI Generative AI, the correct sequence for deploying a fine-tuned model to a dedicated endpoint is: first provision a Dedicated AI Cluster (which provides the isolated compute infrastructure), then deploy the model to that cluster, and finally create an endpoint that exposes the deployed model for inference. This ensures the model is hosted on dedicated resources before the endpoint is created.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Create an endpoint, deploy the model, then provision a Dedicated AI Cluster
Why it's wrong here
Incorrect. The endpoint cannot be created before the cluster and model deployment are ready.
- ✗
Deploy the model to a shared endpoint, then provision a Dedicated AI Cluster for scaling
Why it's wrong here
Incorrect. A shared endpoint is not suitable for dedicated production inference; a Dedicated AI Cluster is required.
- ✗
Create an endpoint, then provision a Dedicated AI Cluster, then deploy the model
Why it's wrong here
Incorrect. The endpoint cannot be created before the model is deployed to a cluster.
- ✓
Provision a Dedicated AI Cluster, deploy the model to the cluster, then create an endpoint
Why this is correct
Correct. This is the proper sequence: provision the cluster, deploy the model, then create the endpoint.
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