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| Section | Weight | Objectives |
|---|---|---|
| Services & Networking | 20% | - Service types: ClusterIP, NodePort, LoadBalancer, ExternalName - CNI configuration and troubleshooting - Network policies - CoreDNS and service discovery - Ingress resources and controllers |
| Storage | 10% | - Persistent Volumes (PV) and Persistent Volume Claims (PVC) - StorageClasses and dynamic provisioning - StatefulSet storage configuration - Volume types and access modes |
| Troubleshooting | 30% | - Worker node issues and recovery - Log collection and analysis - Cluster component health checks - Control plane component failures - Network connectivity and DNS resolution problems - Pod and application failures |
| Cluster Architecture, Installation & Configuration | 25% | - Manage cluster lifecycle and upgrades - Work with CRDs and Operators - Manage RBAC - Install components via Helm / Kustomize - Create and manage clusters with kubeadm - Understand CNI, CSI, CRI interfaces - Implement high availability control plane - Prepare infrastructure for cluster installation |
| Workloads & Scheduling | 15% | - Pod lifecycle, init containers, probes - Resource requests, limits and autoscaling - Deployments, rolling updates and rollbacks - Configure applications with ConfigMaps and Secrets - Pod scheduling: node selector, affinity, taints/tolerations |
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NEW QUESTION # 51
A recent deployment of a new version of your application caused a large number of pods to enter a 'CrashLoopBackOff state. You need to identify the root cause of the issue and resolve it.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify the Failing Pods:
- Use 'kubectl get pods -l app=' to list the pods in the Deployment.
- Identify the pods that are in the 'CrashLoopBackOff state.
2. Examine Pod Logs:
- Use 'kubectl logs -f to view the logs of the failing pods.
- Look for error messages, stack traces, or other clues that can point to the root cause of the crash.
- For example, errors related to:
- Missing dependencies or configuration: Check if the application is missing required configuration files or dependencies.
- Incorrect resource usage: Look for errors related to memory or CPU limitations.
- Network connectivity issues: Check for errors related to communication failures.
3. Check for Recent Changes:
- Review the changes made during the deployment:
- Analyze the updated deployment YAML file to identify any configuration changes that might have introduced the crash.
- Check for changes in container images, resource requests, or other settings.
4. Inspect Deployment Events:
- Use "kubectl describe pod ' to view the pod's events:
- Look for events related to the crash, such as "Back-off restarting failed container" or "Container restarting".
- The events might provide insights into the timing of the crashes and the potential reasons.
5. Verify Network Connectivity:
- Test network connectivity from within the failing pods:
- Use "kubectl exec -it -n bash' to enter a pod.
- Run 'ping or 'curl to test network connectivity to external resources.
6. Troubleshoot the Application Code:
- If the logs suggest a problem with the application code:
- Debug the application code: Analyze the code to find the source of the crashes.
- Consider rolling back the deployment to the previous version: Use 'kubectl rollout undo deployment ' to revert to the previous working version.
7. Address the Root Cause:
- Once you identify the root cause:
- Fix the underlying issue in the application code or deployment configuration.
- Apply the fixes: Update the deployment YAML file with the corrected configuration.
- Redeploy the application: Use "kubectl apply -f to redeploy the application with the fix.
NEW QUESTION # 52
Score: 7%
Task
Reconfigure the existing deployment front-end and add a port specification named http exposing port 80/tcp of the existing container nginx.
Create a new service named front-end-svc exposing the container port http.
Configure the new service to also expose the individual Pods via a NodePort on the nodes on which they are scheduled.
Answer:
Explanation:
See the solution below.
Explanation
Solution:
kubectl get deploy front-end
kubectl edit deploy front-end -o yaml
#port specification named http
#service.yaml
apiVersion: v1
kind: Service
metadata:
name: front-end-svc
labels:
app: nginx
spec:
ports:
- port: 80
protocol: tcp
name: http
selector:
app: nginx
type: NodePort
# kubectl create -f service.yaml
# kubectl get svc
# port specification named http
kubectl expose deployment front-end --name=front-end-svc --port=80 --tarport=80 --type=NodePort
NEW QUESTION # 53
Create 2 nginx image pods in which one of them is labelled with env=prod and another one labelled with env=dev and verify the same.
Answer:
Explanation:
kubectl run --generator=run-pod/v1 --image=nginx -- labels=env=prod nginx-prod --dry-run -o yaml > nginx-prodpod.yaml Now, edit nginx-prod-pod.yaml file and remove entries like "creationTimestamp: null" "dnsPolicy: ClusterFirst" vim nginx-prod-pod.yaml apiVersion: v1 kind: Pod metadata:
labels:
env: prod
name: nginx-prod
spec:
containers:
- image: nginx
name: nginx-prod
restartPolicy: Always
# kubectl create -f nginx-prod-pod.yaml
kubectl run --generator=run-pod/v1 --image=nginx --
labels=env=dev nginx-dev --dry-run -o yaml > nginx-dev-pod.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
env: dev
name: nginx-dev
spec:
containers:
- image: nginx
name: nginx-dev
restartPolicy: Always
# kubectl create -f nginx-prod-dev.yaml
Verify :
kubectl get po --show-labels
kubectl get po -l env=prod
kubectl get po -l env=dev
NEW QUESTION # 54
Scale the deployment from 5 replicas to 20 replicas and verify
Answer:
Explanation:
kubectl scale deploy webapp --replicas=20 kubectl get deploy webapp kubectl get po -l app=webapp
NEW QUESTION # 55
Set the node namedek8s-node-1asunavailable and reschedule all thepods running on it.
Answer:
Explanation:
See the solution below.
Explanation
solution
NEW QUESTION # 56
......
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