Q: 9
A team wants to deploy artificial intelligence and machine learning workloads in their OCI Container
Engine for Kubernetes (OKE) cluster. They prioritize strong isolation, cost-efficiency, and the ability to
leverage serverless capabilities.
Which solution is best suited for their requirements?
Options
Discussion
A . D is a trap since Container Instances aren't inside OKE, but question wants serverless within the cluster.
Maybe A. . Similar question came up in a practice set, virtual nodes are the serverless option actually inside OKE.
C/D? Question's wording about OKE cluster makes me think A but D is tempting for isolation.
Likely it's A. Virtual nodes in OKE let you run serverless pods right inside your Kubernetes cluster, so you get isolation at the pod level and only pay for what you use. Managed or self-managed nodes aren't serverless, and Container Instances aren't part of the OKE cluster itself. Open to other ideas but A matches the requirements closest.
Pretty sure it's D for isolation and serverless, plus cost should be better than managed nodes.
Nah, D is tempting for isolation but the question wants an OKE serverless solution. A checks all the boxes here.
Hmm, I still say D. Container Instances look serverless and feel more isolated to me, so I'm sticking with that.
Guessing D for strong isolation with serverless-Container Instances might be more cost-efficient too.
Yeah, A fits best for serverless plus strong isolation. Virtual nodes cover all their needs here.
C/D? Managed nodes could work for cost, but serverless and isolation make me think D might fit too. Not certain though.
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