Microsoft Azure AI Engineer Associate AI-102 Practice Question
An Azure OpenAI deployment named "chat-gpt-35" currently references model version gpt-35-turbo-0613 and is called by several production micro-services. A newer version (gpt-35-turbo-1106) has been released that offers lower latency. You must move all traffic to the new version with no client-side code changes and still be able to revert quickly if necessary. Which action should you take?
Edit the "chat-gpt-35" deployment and change its model version to gpt-35-turbo-1106.
Delete the existing deployment, then recreate it with the same name and the gpt-35-turbo-1106 model.
Create a second deployment that uses gpt-35-turbo-1106 and ask developers to switch to the new deployment name.
Provision a new Azure OpenAI resource in the same region with gpt-35-turbo-1106 and update DNS records to point clients to it.
Updating the existing deployment to point to the newer model version keeps the deployment name unchanged, so all client applications continue to call the same endpoint and API path. Because the change is confined to the deployment configuration, you can roll forward or roll back at any time by editing the deployment again, without touching application code or provisioning a new resource. Deleting the deployment first causes outage, while creating a separate deployment or resource would require every caller to update its deployment name or endpoint, violating the no-code-change requirement.
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