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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting | 30% | - Control plane component failures - Network connectivity and DNS resolution problems - Pod and application failures - Cluster component health checks - Log collection and analysis - Worker node issues and recovery |
| Storage | 10% | - StatefulSet storage configuration - Volume types and access modes - Persistent Volumes (PV) and Persistent Volume Claims (PVC) - StorageClasses and dynamic provisioning |
| Cluster Architecture, Installation & Configuration | 25% | - Manage cluster lifecycle and upgrades - Work with CRDs and Operators - Create and manage clusters with kubeadm - Understand CNI, CSI, CRI interfaces - Install components via Helm / Kustomize - Implement high availability control plane - Prepare infrastructure for cluster installation - Manage RBAC |
| Services & Networking | 20% | - CNI configuration and troubleshooting - CoreDNS and service discovery - Ingress resources and controllers - Service types: ClusterIP, NodePort, LoadBalancer, ExternalName - Network policies |
| Workloads & Scheduling | 15% | - Resource requests, limits and autoscaling - Pod lifecycle, init containers, probes - Pod scheduling: node selector, affinity, taints/tolerations - Deployments, rolling updates and rollbacks - Configure applications with ConfigMaps and Secrets |
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NEW QUESTION # 38
You are running a critical application on Kubernetes that requires high availability. To ensure the application stays operational even if one or more nodes experience failures, you decide to implement a pod anti-affinity rule. Explain how you can configure an anti-affinity rule to prevent pods from being scheduled on the same node.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Define the Anti-Affinity Rule: Add an 'affinity' section to the 'spec.template.spec' of your Deployment or StatefulSet. Within , define a podAntiAffinity' section, specifying that pods with the same label should not be placed on the same node.
2. Use 'requiredDuringSchedulinglgnoredDuringExecution': The 'requiredDuringSchedulinglgnoredDuringExecutioru section ensures that the rule is enforced during pod scheduling. Once a pod is scheduled, the rule is ignored. This ensures that even if a node fails, the remaining pods are not affected. 3. Set 'topologyKey': The 'topologyKey' is set to 'kubernetes.io/hostname'. This tells Kubernetes to consider the node's hostname for pod placement. It will prevent pods with the label 'app: my-critical-app' from being scheduled on the same node. 4. Verify the Deployment: Apply the YAML file to your cluster using 'kubectl apply -f my-critical-app.yaml'. You can then check the status of your Deployment using 'kubectl get pods -l app=my-critical-app' to verify that the pods are distributed across different nodes.
NEW QUESTION # 39
Undo the deployment with the previous version and verify
everything is Ok
Answer:
Explanation:
kubectl rollout undo deploy webapp kubectl rollout status deploy webapp kubectl get pods
NEW QUESTION # 40
Create a deployment as follows:
* Name:nginx-app
* Using containernginxwithversion 1.11.10-alpine
* The deployment should contain3replicas
Next, deploy the application with newversion1.11.13-alpine, byperforming a rolling update.
Finally, rollback that update to theprevious version1.11.10-alpine.
Answer:
Explanation:
See the solution below.
Explanation
solution
NEW QUESTION # 41
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 # 42
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 # 43
......
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