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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Storage | 10% | - StatefulSet storage configuration - Persistent Volumes (PV) and Persistent Volume Claims (PVC) - Volume types and access modes - StorageClasses and dynamic provisioning |
| Topic 2: Cluster Architecture, Installation & Configuration | 25% | - Manage cluster lifecycle and upgrades - Understand CNI, CSI, CRI interfaces - Prepare infrastructure for cluster installation - Install components via Helm / Kustomize - Work with CRDs and Operators - Implement high availability control plane - Create and manage clusters with kubeadm - Manage RBAC |
| Topic 3: Troubleshooting | 30% | - Control plane component failures - Worker node issues and recovery - Cluster component health checks - Network connectivity and DNS resolution problems - Log collection and analysis - Pod and application failures |
| Topic 4: Workloads & Scheduling | 15% | - Deployments, rolling updates and rollbacks - Configure applications with ConfigMaps and Secrets - Pod lifecycle, init containers, probes - Resource requests, limits and autoscaling - Pod scheduling: node selector, affinity, taints/tolerations |
| Topic 5: Services & Networking | 20% | - Network policies - Ingress resources and controllers - Service types: ClusterIP, NodePort, LoadBalancer, ExternalName - CoreDNS and service discovery - CNI configuration and troubleshooting |
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NEW QUESTION # 29
Create a deployment as follows:
Name: nginx-random
Exposed via a service nginx-random
Ensure that the service & pod are accessible via their respective DNS records The container(s) within any pod(s) running as a part of this deployment should use the nginx Image Next, use the utility nslookup to look up the DNS records of the service & pod and write the output to
/opt/KUNW00601/service.dns and /opt/KUNW00601/pod.dns respectively.
Answer:
Explanation:
See the solution below.
Explanation
Solution:
F:\Work\Data Entry Work\Data Entry\20200827\CKA\17 C.JPG
F:\Work\Data Entry Work\Data Entry\20200827\CKA\17 D.JPG
F:\Work\Data Entry Work\Data Entry\20200827\CKA\17 E.JPG
NEW QUESTION # 30
You need to schedule a pod to run only on nodes that have specific hardware resources, such as a certain amount of memory or a particular GPU type. Explain how you can use node affinity to achieve this.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the Node Affinity: Add an 'affinity' section to the 'spec.template.spec' section of your pod definition YAML file.
2. Set 'nodeSelectorTerms': In the 'nodeAffinity' section, specify requiredDuringSchedulinglgnoredDuringExecutioru to indicate that the node affinity rule must be met during pod scheduling. Within 'nodeSelectorTerms' , use 'matchExpressions' to match the node label 'kubernetes.io/hostname' to the value 'my-gpu-node'. Replace "my-gpu-node" with the actual hostname of the node that has the required resources. 3. Apply the Pod: Apply the YAML file to your cluster using 'kubectl apply -f my-resource-intensive-pod.yaml' Kubernetes will attempt to schedule the pod only on the node labeled 'my-gpu-node'. If the node is unavailable or if no nodes have the required labels, the pod will remain in a pending state until a suitable node becomes available.
NEW QUESTION # 31
An Administrator is configuring Authentication Enforcement and they would like to create an exemption rule to exempt a specific group from authentication. Which authentication enforcement object should they select?
Answer: A
NEW QUESTION # 32
List pod logs named "frontend" and search for the pattern "started" and write it to a file "/opt/error-logs" See the solution below.
Answer:
Explanation:
Kubectl logs frontend | grep -i "started" > /opt/error-logs
NEW QUESTION # 33
Print all pod name and all image name and write it to a file
name "/opt/pod-details.txt"
Answer:
Explanation:
kubectl get pods -o=custom-columns='Pod Name:metadata.name','Image:spec.containers[*].image' > /opt/pod-details.txt
NEW QUESTION # 34
......
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