From the pod label name=cpu-utilizer, find pods running high CPU workloads and write the name of the pod consuming most CPU to the file /opt/KUTR00401/KUTR00401.txt (which already exists).
I feel like I practiced something similar, but I can't recall if we needed to sort the output to find the highest CPU pod. Should we use `sort` or something?
This seems straightforward enough. I'll just run `kubectl top pods -l name=cpu-utilizer` to get the CPU usage for the relevant pods, find the one with the highest usage, and then use `echo` to write the name to the file. Should be a quick and easy one to knock out.
Okay, I think I've got a plan for this. First, I'll use `kubectl top pods -l name=cpu-utilizer` to get the CPU usage for all the relevant pods. Then I'll sort that output to find the pod with the highest usage, and finally I'll write the name of that pod to the file using `echo`. Hopefully that'll do the trick!
Hmm, I'm a bit confused by this one. I know we need to find the pod with the highest CPU usage, but I'm not sure how to do that exactly. I'll probably start by trying `kubectl get pods -l name=cpu-utilizer` to list the pods, then try to figure out how to get the CPU usage for each one.
This looks like a straightforward task to find the pod with the highest CPU usage and write its name to a file. I'll start by using the `kubectl top` command to get the CPU usage for all pods with the `name=cpu-utilizer` label, then I'll pipe that output to `grep` to find the pod with the highest usage and write its name to the file.
Okay, let's see. The question is asking about the minimum number of compute nodes, so I'll need to think about the minimum requirements for running this engine. I'll go with my best guess.
Hmm, I'm a little unsure about this one. There are a lot of options, and I'm not sure I fully grasp the nuances of DRM implementation. I'll need to carefully read through each choice and try to identify the top three risks. Wish me luck!
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