Câu 7: KCNA: Kubernetes and Cloud Native Associate

Let's assume that an organization needs to process large amounts of data in bursts, on a cloud-based Kubernetes cluster. For instance: each Monday morning, they need to run a batch of 1000 compute jobs of 1 hour each, and these jobs must be completed by Monday night. What's going to be the most cost-effective method?

1. A. Run a group of nodes with the exact required size to complete the batch on time, and use a combination of taints, tolerations, and nodeSelectors to reserve these nodes to the batch jobs.
2. B. Leverage the Kubernetes Cluster Autoscaler to automatically start and stop nodes as they're needed. — đáp án hiện tại
3. C. Commit to a specific level of spending to get discounted prices (with e.g. “reserved instances” or similar mechanisms).
4. D. Use PriorityСlasses so that the weekly batch job gets priority over other workloads running on the cluster, and can be completed on time.