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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting | 30% | - Cluster component health checks - Pod and application failures - Control plane component failures - Log collection and analysis - Worker node issues and recovery - Network connectivity and DNS resolution problems |
| Cluster Architecture, Installation & Configuration | 25% | - Install components via Helm / Kustomize - Manage RBAC - Understand CNI, CSI, CRI interfaces - Prepare infrastructure for cluster installation - Manage cluster lifecycle and upgrades - Work with CRDs and Operators - Create and manage clusters with kubeadm - Implement high availability control plane |
| Services & Networking | 20% | - CoreDNS and service discovery - Network policies - CNI configuration and troubleshooting - Service types: ClusterIP, NodePort, LoadBalancer, ExternalName - Ingress resources and controllers |
| Storage | 10% | - Persistent Volumes (PV) and Persistent Volume Claims (PVC) - StatefulSet storage configuration - StorageClasses and dynamic provisioning - Volume types and access modes |
| Workloads & Scheduling | 15% | - Configure applications with ConfigMaps and Secrets - Pod scheduling: node selector, affinity, taints/tolerations - Resource requests, limits and autoscaling - Pod lifecycle, init containers, probes - Deployments, rolling updates and rollbacks |
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NEW QUESTION # 34
List all persistent volumes sorted by capacity, saving the full kubectl output to /opt/KUCC00102/volume_list. Use kubectl 's own functionality for sorting the output, and do not manipulate it any further.
Answer:
Explanation:
solution
NEW QUESTION # 35
Your Kubernetes cluster is experiencing performance issues, and you suspect that the kubelet process is consuming excessive resources. You need to investigate the kubelet's resource usage and adjust its configuration to improve performance.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Monitor Kubelet Resource Usage:
- Use 'kubectl top node to view the resource usage of the kubelet process on each node:
- Look for signs of high CPU or memory usage by the kubelet process.
2. Examine Kubelet Logs:
- Check the kubelet logs for any errors or warnings related to resource constraints:
- The logs can be accessed using 'journalctl -u kubelet -n
- Search for messages that suggest the kubelet is struggling to manage resources.
3. Analyze Kubelet Configuration:
- Review the kubelet's configuration file:
- The configuration file is typically located at '/etc/kubernetes/kubelet/config' on the nodes.
- Check the following settings:
- '--max-pods': The maximum number of pods that the kubelet can manage.
- '--fail-swap-on': Determines if kubelet should fail nodes that have swap enabled.
- '--cgroup-root': Specifies the cgroup root used by kubelet.
- '--cadvisor-port': Specifies the port that the kubelet's cadvisor API listens on.
- '--event-burst': Specifies the maximum number of events that can be buffered before they are sent to the API server.
- '--event-qps': Specifies the maximum number of events that can be sent to the API server per second.
4. Adjust Kubelet Configuration:
- Based on the analysis of the kubelet logs and configuration, consider these adjustments:
- Increase resource limits for kubelet: Allocate more CPU and memory to the kubelet process if necessary.
- Reduce the '-max-pods' value: Limit the number of pods managed by the kubelet to reduce its resource consumption.
- Disable swap: If the kubelet is failing nodes due to swap, disable swap.
5. Restart Kubelet:
- After making configuration changes, restart the kubelet service on the affected nodes:
- For example, use 'systemctl restart kubelet' or 'sudo systemctl restart kubelet' on most Linux distributions.
6. Monitor Performance:
- Observe the cluster's performance after adjusting the kubelet configuration:
- Use tools like 'kubectl top node' or 'kubectl top pod' to monitor resource usage.
- Check for any improvements in the cluster's overall performance and stability.
7. Further Optimization:
- If the issue persists, you might need to:
- Upgrade the Kubernetes version: Older versions of Kubernetes might have known performance issues that are addressed in newer versions.
- Analyze node hardware: Ensure that the nodes have sufficient resources to handle the workload.
- Consider using a different Kubernetes distribution: Different distributions of Kubernetes might have different performance characteristics.
- Enable Vertical Pod Autoscaling (VPA): VPA can automatically adjust the resource requests and limits of pods based on their resource usage, which can improve resource utilization.
NEW QUESTION # 36
Create a pod with environment variables as var1=value1.Check the environment variable in pod See the solution below.
Answer:
Explanation:
kubectl run nginx --image=nginx --restart=Never --env=var1=value1
# then
kubectl exec -it nginx -- env
# or
kubectl exec -it nginx -- sh -c 'echo $var1'
# or
kubectl describe po nginx | grep value1
NEW QUESTION # 37
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 # 38
You have a Deployment with 5 replicas. You want to increase the number of replicas to 10, but only after ensuring that the new pods are healthy and ready to serve traffic.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAML:
- Update the 'replicas' field in the Deployment YAML to 10.
2. Apply the Changes: - Apply the updated YAML file using 'kubectl apply -f my-deployment.yaml' 3. Monitor Pod Status: - Use 'kubectl get pods -l app=my-app' to monitor the status of the pods. - Ensure that the new pods are in the "Running' state and have a 'Ready' status. 4. Check Liveness and Readiness Probes: - If applicable, ensure that liveness and readiness probes are configured to check the health of the pods. - This helps in identifying and restarting unhealthy pods. 5. Verify Service Availability: - Use 'kubectl get services my-service" to check the service status. - Ensure that the service is still available and serving traffic. 6. Increase Replicas: - Once the new pods are healthy and ready, the deployment will automatically scale up to 10 replicas.
NEW QUESTION # 39
......
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