Domain 4.2: Managing GKE resources

You need to view the logs of a specific pod named `frontend-pod-123` running in your GKE cluster to troubleshoot an application error. Which command should you use?

Your GKE cluster is running out of resources, and new pods are stuck in the `Pending` state. You are using a Standard GKE cluster. Which TWO actions could resolve this issue? (Select TWO)

You deployed a new container to your GKE cluster, but the application is not responding. You run `kubectl get pods` and see that the Pod status is 'CrashLoopBackOff'. What is the MOST appropriate next command to diagnose why the container is crashing?

Your GKE cluster is running out of capacity. You need to permanently increase the number of nodes in an existing node pool named 'pool-1' from 3 to 5. Which TWO methods can you use to achieve this? (Select TWO)

You are troubleshooting an application running on Google Kubernetes Engine (GKE). You need to see a list of all currently running pods in the default namespace to check their status. Which command should you use?

Your GKE cluster is running out of compute capacity. You need to manually increase the number of nodes in the 'default-pool' from 3 to 5. Which command should you use?

A developer reports that their application running in a GKE cluster is crashing on startup. You need to view the standard output (stdout) logs of the specific pod named 'frontend-app-xyz' to diagnose the issue. Which command should you use?

Your GKE cluster currently runs on a node pool of e2-standard-2 machines. You are deploying a new machine learning workload that requires GPUs. You cannot attach GPUs to the existing e2 instances. Which TWO steps should you take to run this new workload on the cluster? (Select TWO)

You are troubleshooting an application running on Google Kubernetes Engine (GKE). You need to see a list of all currently running pods in the default namespace. Which command should you use?

Your team has an existing GKE standard cluster running web applications. A new data science team wants to deploy machine learning workloads to the same cluster, but their containers require GPUs. The current cluster nodes do not have GPUs attached. What is the BEST way to accommodate this new workload?

A developer reports that their application running on a GKE cluster is crashing. You need to view the standard output (stdout) logs of a specific pod named 'frontend-app-xyz' to diagnose the error. Which command should you use?

Your GKE cluster currently runs on a node pool of e2-standard-2 machines. Your new machine learning workload requires nodes with attached GPUs. You cannot attach GPUs to the existing e2-standard-2 nodes. Which TWO steps should you take to run the new workload without disrupting existing applications? (Select TWO)

Your GKE cluster currently runs on standard e2-medium nodes. Your data science team wants to deploy a new workload to the cluster that requires high-memory machines. You do not want to disrupt the existing workloads. How should you accommodate this new workload?

A developer reports that their application deployed on GKE is crashing on startup. You need to view the standard output (stdout) of the container to see the error message. Which command should you use?