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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q73-Q78):

NEW QUESTION # 73
You have a Kubernetes cluster running a deployment named 'my-app' that is exposed via a NodePort service. You want to restrict access to the service from specific IP addresses within the cluster. How can you achieve this using a NetworkPolicy?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a NetworkPolicy:
- Create a NetworkPolicy in the namespace where 'my-app' deployment runs.
- Code:

2. Apply the NetworkPolicy: - Apply the NetworkPolicy using 'kubectl apply -f networkpolicy.yamP

NEW QUESTION # 74
You have a Kubernetes cluster running with several pods, each exposed via a 'Service' of type LoadBalance. However, you notice some pods are randomly unreachable from external clients, despite appearing healthy in the cluster. You suspect this could be a network issue within the cluster. Describe the steps you would take to diagnose and troubleshoot this issue, focusing on network-related aspects of Kubernetes.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Verify Service Configuration:
- Use 'kubectl describe service ' to examine the service definition.
- Check if the 'externallPs are correctly configured and match the IPs assigned by your cloud provider.
- Ensure that the 'selector' in the service matches the labels on the pods you're trying to access.
2. Check Pod Connectivity:
- Use 'kubectl exec -it bash' to get a shell within one of the pods.
- Run 'ping ' to test connectivity from within the pod to the external IP of the service.
- If ping fails, it indicates that the pod can't reach the service's external IP.
3. Examine Network Policies:
- Check if any 'NetworkPolicy' rules are blocking traffic to or from the pods in question.
- Use 'kubectl get networkpolicies' and 'kubectl describe networkpolicy to list and examine policies.
4. Inspect Network Resources:
- Use "kubectl get nodes' to check the status of the nodes. Look for any node-level networking problems or errors.
- Examine network resource usage (e.g., bandwidth, CPU) on the nodes using tools like 'kubectl top nodes'.
5. Analyze Cluster Events:
- Check the Kubernetes event logs using 'kubectl get events'. Look for events related to networking issues, pod restarts, or other relevant events.
6. Inspect Network Connectivity (Node-Level):
- If the issue seems to originate within the cluster, use tools like 'ping' or 'traceroute' from within a node to test connectivity between nodes and/or to external services.
7. Verify Load Balancer Health:
- If using a cloud provider's load balancer, check its health status and logs. Ensure it's correctly forwarding traffic to the back-end pods.
8. Check Firewall Rules:
- Ensure that there are no external firewall rules blocking traffic to the Kubernetes cluster or specific ports used by the services.
9. Consider Network Plugin Configuration:
- Review the configuration of the network plugin used in your cluster (e.g., Calico, Flannel). Potential issues in the plugin's configuration might cause connectivity problems.
Example Scenario: Imagine you have a NodePort service 'my-service' exposing a web server. The service is configured to forward traffic to pods labeled 'app=web'. You're able to access the service from within the cluster but encounter random disconnections from external clients. Troubleshooting Steps:
1 . Verify the service definition to ensure 'externallPs' are correctly assigned and 'selector' matches pod label
2. 'kubectl exec -it bash' to ping the service's 'externallP'. If unsuccessful, proceed to step 3.
3. Check if any NetworkPolicies are blocking traffic to the 'web' pods.
4. Verify the health status of all nodes in the cluster.
5. Examine cluster events for any networking-related errors.
6. Use ping' and 'traceroute' from a node to test connectivity to the external service.
7. Check the health of the load balancer if it's being used.
8. Ensure no external firewall rules block traffic to the service's ports.
9. Inspect the configuration of the network plugin in your cluster for any potential issues.

NEW QUESTION # 75
Create a Pod nginx and specify both CPU, memory requests and limits together and verify.

A. kubectl run nginx-request --image=nginx --restart=Always --dryrun -o yaml > nginx-request.yml
// add the resources section and create
apiVersion: v1
kind: Pod
metadata:
labels:
run: nginx
name: nginx-request
spec:
containers:
- image: nginx
name: nginx
resources:
requests:
memory: "100Mi"
cpu: "0.5"
limits:
memory: "200Mi"
cpu: "1"
restartPolicy: Always
k kubectl apply -f nginx-request.yaml
// Verify
Kubectl top po
B. kubectl run nginx-request --image=nginx --restart=Always --dryrun -o yaml > nginx-request.yml
// add the resources section and create
apiVersion: v1
kind: Pod
metadata:
labels:
run: nginx
name: nginx
resources:
requests:
memory: "100Mi"
cpu: "0.4"
limits:
memory: "200Mi"
cpu: "7"
restartPolicy: Always
k kubectl apply -f nginx-request.yaml
// Verify
Kubectl top po

Answer: A

NEW QUESTION # 76
You have a Deployment running a web application that receives a significant amount of traffic. You need to implement a strategy to scale the Deployment based on the traffic load while ensuring that the application remains available during the scaling process.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Use a Deployment:
- Deploy the web application using a Deployment with the desired number of replicas.
2. Define a Service:
- Create a Service that exposes the application to the outside world.
- Use a 'type: LoadBalancer' to distribute traffic across the pods.
3. Implement Horizontal Pod Autoscaler (HPA):
- Create an HPA that monitors the web application's CPU usage.
- Configure the HPA to scale the Deployment based on the CPU utilization.

4. Test the Autoscaling: - Simulate increased traffic to the web application. - Observe the HPA scaling the Deployment to meet the demand. 5. Monitor the Service: - Monitor the web application's performance and ensure that it remains available and stable during scaling. 6. Adjust HPA Configuration: - Fine-tune the HPA configuration to optimize scaling based on specific performance needs.

NEW QUESTION # 77
Configure the kubelet systemd- managed service, on the node labelled with name=wk8s-node-1, to launch a pod containing a single container of Image httpd named webtool automatically. Any spec files required should be placed in the /etc/kubernetes/manifests directory on the node.
You can ssh to the appropriate node using:
[student@node-1] $ ssh wk8s-node-1
You can assume elevated privileges on the node with the following command:
[student@wk8s-node-1] $ | sudo -i

Answer:

Explanation:

NEW QUESTION # 78
......

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