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The CKA PDF is the collection of real, valid, and updated Certified Kubernetes Administrator (CKA) Program Exam (CKA) practice questions. The Linux Foundation CKA PDF dumps file works with all smart devices. You can use the CKA PDF questions on your tablet, smartphone, or laptop and start CKA Exam Preparation anytime and anywhere. The CKA dumps PDF provides you with everything that you must need in CKA exam preparation and enable you to crack the final CKA exam quickly.
| Section | Weight | Objectives |
|---|---|---|
| Cluster Architecture, Installation & Configuration | 25% | - Create and manage clusters with kubeadm - Install components via Helm / Kustomize - Understand CNI, CSI, CRI interfaces - Manage cluster lifecycle and upgrades - Work with CRDs and Operators - Manage RBAC - Implement high availability control plane - Prepare infrastructure for cluster installation |
| Workloads & Scheduling | 15% | - Deployments, rolling updates and rollbacks - Pod scheduling: node selector, affinity, taints/tolerations - Configure applications with ConfigMaps and Secrets - Resource requests, limits and autoscaling - Pod lifecycle, init containers, probes |
| Troubleshooting | 30% | - Network connectivity and DNS resolution problems - Cluster component health checks - Control plane component failures - Pod and application failures - Log collection and analysis - Worker node issues and recovery |
| Services & Networking | 20% | - Ingress resources and controllers - Network policies - CNI configuration and troubleshooting - Service types: ClusterIP, NodePort, LoadBalancer, ExternalName - CoreDNS and service discovery |
| Storage | 10% | - StatefulSet storage configuration - Persistent Volumes (PV) and Persistent Volume Claims (PVC) - StorageClasses and dynamic provisioning - Volume types and access modes |
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NEW QUESTION # 31
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 # 32
Perform the following tasks:
* Add an init container to hungry-bear (which has been defined in spec file
/opt/KUCC00108/pod-spec-KUCC00108.yaml)
* The init container should create an empty file named/workdir/calm.txt
* If /workdir/calm.txt is not detected, the pod should exit
Answer:
Explanation:
* Once the spec file has been updated with the init container definition, the pod should be created See the solution below.
Explanation
solution
NEW QUESTION # 33
// Create a configmap
kubectl create configmap redis-config --from-file=/opt/redisconfig
// Verify
kubectl get configmap redis-config -o yaml
// first run this command to save the pod yml
kubectl run redis-pod --image=redis --restart=Always --dry-run
-o yaml > redis-pod.yml
// edit the yml to below file and create
apiVersion: v1
kind: Pod
metadata:
name: redis
spec:
containers:
- name: redis
image: redis
env:
- name: MASTER
value: "true"
ports:
- containerPort: 6379
volumeMounts:
- mountPath: /redis-master-data
name: data
- mountPath: /redis-master
name: config
volumes:
- name: data
emptyDir: {}
- name: config
configMap:
name: example-redis-config
Answer: B
NEW QUESTION # 34
You have a deployment that uses a PersistentVolumeClaim for its storage. The deployment is scaled to 5 replicas. You notice that each pod is using the same volume, leading to data corruption. Explain why this is happening and how you can fix the problem.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
This problem arises because the access mode of the PersistentVolumeClaim is set to 'ReadWriteMany', and the PVC is shared between all pods. When multiple pods access the same data simultaneously, data corruption can occur due to inconsistent updates. To fix the issue, you need to change the PVC access mode to 'ReadWriteOnce' and create individual PVCs for each pod. Here's how:
1. Update the PVC Access Mode:
- Modify the access mode in the PersistentVolumeClaim YAML file to 'ReadWriteOnce'.
2. Update the Deployment to use Multiple PVCs: - Update the Deployment YAML to use a unique PVC for each pod by specifying the 'persistentVolumeClaim' field in the 'spec.template.spec.containers.volumeMounts' section.
3. Apply the Changes: - Apply the updated PVC and Deployment YAML files using 'kubectl apply -f my-pvc.yaml' and "kubectl apply -f my-deployment.yaml' , respectively. - By setting the PVC access mode to 'ReadWriteOnce', each pod can access the volume exclusively. - The updated Deployment definition ensures that each pod has a unique PersistentVolumeClaim. The 'claimName' field in the volumes' section uses the 'pod.metadata.name' to create a unique name for each PVC. This ensures that each pod has its own dedicated storage, preventing data corruption and ensuring data consistency.]
NEW QUESTION # 35
Ensure a single instance of pod nginx is running on each node of the Kubernetes cluster where nginx also represents the Image name which has to be used. Do not override any taints currently in place.
Use DaemonSet to complete this task and use ds-kusc00201 as DaemonSet name.
Answer:
Explanation:
NEW QUESTION # 36
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2026 Latest PracticeMaterial CKA PDF Dumps and CKA Exam Engine Free Share: https://drive.google.com/open?id=1OmOwDZ5dze4K7t6F3EEVCfJow3xQzqy5