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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q74-Q79):
NEW QUESTION # 74
List all persistent volumes sorted bycapacity, saving the fullkubectloutput to
/opt/KUCC00102/volume_list. Usekubectl 's own functionality forsorting the output, and do not manipulate it any further.
Answer:
Explanation:
See the solution below.
Explanation
solution
NEW QUESTION # 75
Check the history of deployment
Answer:
Explanation:
kubectl rollout history deployment webapp
NEW QUESTION # 76
One of the nodes in your Kubernetes cluster is experiencing high CPU usage, which is affecting the performance of the entire cluster. The node is running multiple pods, and you need to identify which pod is responsible for the high CPU consumption and take steps to resolve the issue.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify the High-CPU Node:
- Use 'kubectl top nodes' to view the CPU usage of each node in the cluster.
- Identify the node that is experiencing the high CPU usage.
2. List Pods on the Node:
- Use 'kubectl get pods -R to list all pods in the cluster.
- Filter the pods to find those running on the high-CPU node.
- For example, 'kubectl get pods -A I grep
3. Monitor Pod CPU Usage:
- Use 'kubectl top pod -n to view the CPU usage of each pod running on the node.
- Pay attention to the CPU usage metrics for each container within the pod.
4. Examine Pod Logs:
- Use "kubectl logs -f to view the logs of the suspected high-CPU pod.
- Search for any error messages, stack traces, or other indications that the pod is experiencing excessive CPU utilization.
5. Analyze Pod Resource Requests and Limits:
- Check the pod's resource requests and limits using 'kubectl describe pod
- Ensure that the pod is not requesting or using significantly more CPU resources than it needs.
- If the CPU requests are too high, the pod might be consuming excessive CPU even when idle.
6. Troubleshooting Options:
- Based on the analysis of the logs and resource usage:
- Adjust resource limits: If the pod is requesting too much CPU, reduce its CPU requests and limits in the Deployment YAML.
- Optimize container images: Use a smaller container image to reduce the resource footprint.
- Improve application code: Identify and address any inefficient code that is causing high CPU usage.
- Scale down the pod replicas: If the pod's workload is high, reduce the number of replicas to distribute the load across fewer pods.
- Consider using a different pod scheduling strategy: For example, use a node selector or taint to run the pod on a dedicated node with more resources.
7. Monitor and Adjust:
- After making changes to the pod's resources or configuration, monitor the node's CPU usage:
- Use 'kubectl top nodes' and 'kubectl top pod' to observe the impact of the changes.
- Adjust the configuration further if needed: Continue to optimize the pod's resource usage to bring the node's CPU usage back to a healthy level.
NEW QUESTION # 77
A Service named my-service' is exposed on port 80 of your Kubernetes cluster. You need to access the service from a specific node in the cluster using its internal IP address. How can you find the internal IP address of the node running a pod associated with 'my-service'?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify the Pod:
- Use 'kubectl get pods -l service=my-service' to list the pods associated with the 'my-service' service. Note the name of the pod.
2. Get the Pod's Node:
- Use 'kubectl describe pod (where is the name of the pod from step 1) to get the details of the pod.
- Look for the 'Node' field, which indicates the node where the pod is running.
3. Get the Node's Internal IP:
- Use 'kubectl get nodes (where is the name of the node from step 2) to get the node details.
- Look for the 'InternallP' field to find the internal IP address of the node.
4. Access the Service:
- Now you can access the 'my-service' service from the identified node using its internal IP address and the service's port (80):
- 'http://:80' (replace with the internal IP obtained in step 3).
5. Important Note: Internal IP addresses are only accessible within the Kubernetes cluster. If you need to access the service from outside the cluster, you'll need to use a public IP or expose the service through a LoadBalancer or Ingress.
NEW QUESTION # 78
Create an nginx pod and list the pod with different levels of verbosity
Answer:
Explanation:
See the solution below.
Explanation
// create a pod
kubectl run nginx --image=nginx --restart=Never --port=80
// List the pod with different verbosity
kubectl get po nginx --v=7
kubectl get po nginx --v=8
kubectl get po nginx --v=9
NEW QUESTION # 79
......
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