CKA Certification Exam Dumps Questions in here [Apr-2025]
Updated CKA Exam Practice Test Questions
NEW QUESTION # 62
Your organization uses a private DNS server for internal services and requires all Kubernetes pods to resolve names against this DNS server. You need to configure CoreDNS to forward all DNS requests to this private server.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Configure CoreDNS with Forwarding:
- In the CoreDNS ConfigMap, configure the 'forward' plugin to forward all DNS requests to your private DNS server.
2. Test DNS Resolution: - Use the 'nslookup' command from a pod in your cluster to test DNS resolution for internal services. - The requests should be forwarded to the private DNS server, and the corresponding records should be returned.
NEW QUESTION # 63
You have a Deployment named 'web-app-deployment' that uses a service named 'web-app- service' to expose the web application on port 80. You want to update the Deployment to use a new image named 'web-app:v2.0' and update the service to expose a new port, 8080. How would you perform this update using Kubernetes commands?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment:
- Update the Deployment YAML to use the new image 'web-app:v2.0'.
- Use 'kubectl apply -f web-app-deployment.yaml' to apply the updated Deployment.
- Example YAML:
2. Update the Service: - Update the Service YAML to expose the new port 8080. - Use 'kubectl apply -f web-app-service.yaml' to apply the updated Service. - Example YAML:
3. Verify the Update: - Use 'kubectl get deployments web-app-deployment' to verify that the Deployment has updated to use the new image. - Use 'kubectl get services web-app-service' to verify that the Service has updated to expose the new port. - You can then access the web application using the new port through your Kubernetes cluster's IP address or through a NodePort if that's your service type. - If you're using Ingress, you'll need to update your Ingress resource as well to match the new port. ,
NEW QUESTION # 64
You have a Deployment named 'web-app' with 3 replicas running a Flask application. You need to implement a rolling update strategy that ensures only one pod is unavailable at any time. Additionally, you need to implement a strategy to handle the update process when the pod's resource requests exceed the available resources.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAML:
- Update the 'replicas' to 2.
- Define 'maxUnavailable: 1' and 'maxSurge: 0' in the 'strategy.rollingUpdate' section to control the rolling update process.
- Configure a 'strategy.type" to 'RollingUpdate" to trigger a rolling update when the deployment is updated.
- Add a 'spec.template.spec.resources' section to define resource requests for the pod.
- Set 'spec.template.spec.restartPolicy' to 'OnFailure' for the pod to restart when it fails.
2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f web-app.yaml' 3. Verify the Deployment: - Check the status of the deployment using 'kubectl get deployments web-app' to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Update the 'web-app' image in the Docker Hub repository. 5. Monitor the Deployment: - Use 'kubectl get pods -l app=web-app' to monitor the pod updates during the rolling update process. You will observe that one pod is terminated at a time, while one new pod with the updated image is created. 6. Handle Resource Exceedance: - If the pod's resource requests exceed the available resources, the pod will be evicted and restarted. The 'restartPolicy' ensures that the pod restarts automatically upon failure. 7. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment web-app' to see that the 'updatedReplicas' field matches the 'replicas' field, indicating a successful update.
NEW QUESTION # 65
You are tasked with securing a Kubernetes cluster by implementing RBAC. Your cluster has two namespaces: 'dev' and 'prod'. You need to create a role that allows users in the 'dev' namespace to create, delete, and list deployments, but only read-only access to deployments in the 'prod' namespace. Additionally, these users should have access to create and manage ConfigMaps within both namespaces.
Create the necessary RBAC resources (Role, RoleBinding) to implement this access control policy.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
Step 1: Create a Role for the 'dev' namespace.
Step 2: Create a Role for the 'prod' namespace.
Step 3: Create a RoleBinding in the 'dev' namespace.
Step 4: Create a RoleBinding in the 'prod' namespace.
Step 5: Apply the YAML files to the cluster.
Now, the 'dev-user' can create, delete, and list deployments within the 'dev' namespace. They can only view deployments in the 'prod' namespace. They can also create and manage ConfigMaps in both namespaces.
NEW QUESTION # 66
Create a pod with environment variables as var1=value1.Check the environment variable in pod
- A. kubectl run nginx --image=nginx --restart=Never --env=var1=value1
# then
kubectl exec -it nginx -- env
# or
kubectl describe po nginx | grep value1 - B. 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
Answer: B
NEW QUESTION # 67
Create PersistentVolume named task-pv-volume with storage 10Gi, access modes ReadWriteMany, storageClassName manual, and volume at /mnt/data and Create a PersistentVolumeClaim of at least 3Gi storage and access mode ReadWriteOnce and verify
- A. vim task-pv-volume.yaml
apiVersion: v1
kind: PersistentVolume
metadata:
name: task-pv-volume
labels:
type: local
spec:
storageClassName: manual
capacity:
storage: 10Gi
accessModes:
- ReadWriteMany
hostPath:
path: "/mnt/data"
kubectl apply -f task-pv-volume.yaml
//Verify
kubectl get pv
vim task-pvc-volume.yaml
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: task-pv-claim
spec:
storageClassName: manual
accessModes:
- ReadWriteMany
resources:
requests:
storage: 3Gi
kubectl apply -f task-pvc-volume.yaml
//Verify
Kuk kubectl get pvc - B. vim task-pv-volume.yaml
apiVersion: v1
kind: PersistentVolume
metadata:
name: task-pv-volume
labels:
type: local
spec:
storageClassName: manual
capacity:
storage: 10Gi
accessModes:
- ReadWriteMany
hostPath:
path: "/mnt/data"
kubectl apply -f task-pv-volume.yaml
//Verify
kubectl get pv
vim task-pvc-volume.yaml
apiVersion: v1
- ReadWriteMany
resources:
requests:
storage: 3Gi
kubectl apply -f task-pvc-volume.yaml
//Verify
Kuk kubectl get pvc
Answer: A
NEW QUESTION # 68
List all persistent volumes sorted bycapacity, saving the fullkubectloutput to
/opt/KUCC00102/volume_list. Usekubectl 's own functionality forsorting the output, and do not manipulate it any further.
Answer:
Explanation:
See the solution below.
Explanation
solution
NEW QUESTION # 69
Get list of all the nodes with labels
Answer:
Explanation:
kubectl get nodes --show-labels
NEW QUESTION # 70
You have a Deployment running on a Kubernetes cluster with limited resources. How can you adjust the Deployment to use resources more efficiently and prevent resource contention?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define Resource Requests and Limits:
- Set 'requests' and 'limits' for CPU and memory for the containers in the Deployment.
- This helps in specifying the minimum resources required by the pods and the maximum resources that they can consume.
2. Optimize Container Images: - Use smaller and more efficient container images to reduce the resource footprint of the pods. 3. Use Resource Quotas: - Apply resource quotas at the namespace level to control the resource consumption of the pods within a namespace. 4. Consider Pod Disruption Budgets (PDB): - Implement PDBs to control the maximum number of pods that can be unavailable during a rolling update or pod deletion. - This ensures that the application remains available during resource-intensive events. 5. Utilize Node Affinity and Tolerations: - Configure node affinity and tolerations to schedule pods on specific nodes that have the required resources. 6. Monitor Resource Utilization: - Regularly monitor the resource utilization of the cluster and the pods. - Use tools like 'kubectl top pods', 'kubectl top nodes', and 'kubectl describe nodes' to gather resource utilization data. - Adjust resource requests and limits accordingly based on the monitoring data.
NEW QUESTION # 71
Create a snapshot of the etcd instance running at https://127.0.0.1:2379, saving the snapshot to the file path
/srv/data/etcd-snapshot.db.
The following TLS certificates/key are supplied for connecting to the server with etcdctl:
* CA certificate: /opt/KUCM00302/ca.crt
* Client certificate: /opt/KUCM00302/etcd-client.crt
* Client key: Topt/KUCM00302/etcd-client.key
Answer:
Explanation:
See the solution below.
Explanation
solution
NEW QUESTION # 72
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 # 73
Create a nginx pod with label env=test in engineering namespace
Answer:
Explanation:
See the solution below.
Explanation
kubectl run nginx --image=nginx --restart=Never --labels=env=test --namespace=engineering --dry-run -o yaml > nginx-pod.yaml kubectl run nginx --image=nginx --restart=Never --labels=env=test --namespace=engineering --dry-run -o yaml | kubectl create -nengineering-f - YAML File:
apiVersion: v1
kind: Pod
metadata:
name: nginx
namespace: engineering
labels:
env: test
spec:
containers:
- name: nginx
image: nginx
imagePullPolicy: IfNotPresent
restartPolicy: Never
kubectl create -f nginx-pod.yaml
NEW QUESTION # 74
List all the pods showing name and namespace with a json path expression
Answer:
Explanation:
kubectl get pods -o=jsonpath="{.items[*]['metadata.name',
'metadata.namespace']}"
NEW QUESTION # 75
You are running a Kubernetes cluster with a large number of deployments and services. You need to improve the performance and efficiency of DNS resolution, especially during peak traffic periods.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Increase CoreDNS Resources:
- Allocate more CPU, memory, and storage resources to the CoreDNS Deployment to handle increased DNS traffic.
2. Configure CoreDNS for Efficient Caching: - Use CoreDNS's 'cache' plugin to store DNS records in memory and reduce the need for frequent DNS queries.
3. Use a Distributed DNS Server: - If you have a very large cluster with high traffic, consider using a distributed DNS server like etcd or Consul. This can help to improve performance and scalability. 4. Use DNS over TLS (DOT) or DNS over HTTPS (DoH): - Enable secure DNS communication to reduce the risk of DNS poisoning attacks, which can significantly impact performance.
5. Monitor CoreDNS Performance: - Use metrics and logs to monitor CoreDNS performance and identify potential bottlenecks. This will help you adjust your configuration and resource allocation as needed. ]
NEW QUESTION # 76
Install a kubernetes cluster with one master and one worker using kubeadm
- A. This is a straightforward question, you need to install kubernetes cluster using kubeadm with one master and one worker.
Refer : https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/ - B. This is a straightforward question, you need to install kubernetes cluster using kubeadm with one master and one worker.
Installation is considered success once both master and worker
nodes become available.
Refer : https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/
Answer: B
NEW QUESTION # 77
You have a Deployment named 'redis-deployment' running a Redis server. You need to configure Redis with a specific configuration file stored in a ConfigMap named 'redis-config'. The configuration file includes sensitive information like the Redis password. How do you ensure that the sensitive information remains secure while still being accessible to the Redis container?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create the ConfigMap:
- Create a ConfigMap named 'redis-config' containing the Redis configuration file (e.g., 'redis.conf). This configuration file might contain the password as a plain-text value.
- Use 'kubectl create configmap' with the '-from-file' flag:
kubectl create configmap redis-config --from-file=redis.conf
2. Use a Secret for Sensitive Data:
- Create a Secret named 'redis-password' to store the Redis password securely. Use 'kubectl create secret generic' with '--from-literal' kubectl create secret generic redis-password --from-literal=redis-password="your_redis_password"
3. Modify the ConfigMap:
- Modify the 'redis-config' ConfigMap by replacing the plain-text password in the 'redis.conf' with a placeholder or environment variable reference. This is done to prevent the password from being exposed in plain text within the ConfigMap. For example:
kubectl patch configmap redis-config -p '{"data": {"redis.conf': "requirepass ${REDIS PASSWORD}"}}'
4. Configure the Deployment:
- Modify the 'redis-deployment' Deployment to mount both the 'redis-config' ConfigMap and 'redis-password' Secret as volumes in the Pod template.
- Use 'volumeMountS to specify the mount paths and 'volumes' to define the volume sources:
5. Apply the Changes: - Apply the modified Deployment YAML using 'kubectl apply -f redis-deployment.yaml' 6. Verify the Configuration: - Verify that the Redis container is using the secure password from the Secret by accessing the Redis instance and attempting to authenticate.
NEW QUESTION # 78
Create a deployment spec file that will:
Launch 7 replicas of the nginx Image with the labelapp_runtime_stage=dev deployment name: kual00201 Save a copy of this spec file to /opt/KUAL00201/spec_deployment.yaml (or /opt/KUAL00201/spec_deployment.json).
When you are done, clean up (delete) any new Kubernetes API object that you produced during this task.
Answer:
Explanation:
See the solution below.
Explanation
solution
F:\Work\Data Entry Work\Data Entry\20200827\CKA\10 B.JPG
F:\Work\Data Entry Work\Data Entry\20200827\CKA\10 C.JPG
NEW QUESTION # 79
Create a Pod with main container busybox and which executes this
"while true; do echo 'Hi I am from Main container' >>
/var/log/index.html; sleep 5; done" and with sidecar container
with nginx image which exposes on port 80. Use emptyDir Volume
and mount this volume on path /var/log for busybox and on path
/usr/share/nginx/html for nginx container. Verify both containers
are running.
- A. // create an initial yaml file with this
kubectl run multi-cont-pod --image=busbox --restart=Never --
dry-run -o yaml > multi-container.yaml
// edit the yml as below and create it
kubectl create -f multi-container.yaml
vim multi-container.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
run: multi-cont-pod
name: multi-cont-pod
spec:
volumes:
- image: busybox
command: ["/bin/sh"]
args: ["-c", "while true; do echo 'Hi I am from Main
container' >> /var/log/index.html; sleep 5;done"]
name: main-container
volumeMounts:
- name: var-logs
mountPath: /var/log
- image: nginx
name: sidecar-container
ports:
mountPath: /usr/share/nginx/html
restartPolicy: Never
// Create Pod
kubectl apply -f multi-container.yaml
//Verify
kubectl get pods - B. // create an initial yaml file with this
kubectl run multi-cont-pod --image=busbox --restart=Never --
dry-run -o yaml > multi-container.yaml
// edit the yml as below and create it
kubectl create -f multi-container.yaml
vim multi-container.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
run: multi-cont-pod
name: multi-cont-pod
spec:
volumes:
- name: var-logs
emptyDir: {}
containers:
- image: busybox
command: ["/bin/sh"]
args: ["-c", "while true; do echo 'Hi I am from Main
container' >> /var/log/index.html; sleep 5;done"]
name: main-container
volumeMounts:
- name: var-logs
mountPath: /var/log
- image: nginx
name: sidecar-container
ports:
- containerPort: 80
volumeMounts:
- name: var-logs
mountPath: /usr/share/nginx/html
restartPolicy: Never
// Create Pod
kubectl apply -f multi-container.yaml
//Verify
kubectl get pods
Answer: B
NEW QUESTION # 80
Create a pod with image nginx called nginx and allow traffic on port 80
Answer:
Explanation:
See the solution below.
Explanation
kubectlrun nginx --image=nginx --restart=Never --port=80
NEW QUESTION # 81
You are deploying an application on Kubernetes that requires access to a specific external service. This service is only accessible from the cluster network. Describe how you can implement a NetworkPolicy to secure access to the external service from the application pods.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Create a NetworkPolicy for the Application Pods:
- Define a NetworkPolicy rule that allows ingress traffic from the application pods to the external service. This policy should be applied to the namespace where the application pods are running.
2. Configure Network Access to the External Service: - Ensure that the external service is accessible from the cluster network. This might involve using a dedicated load balancer, a service proxy, or a network tunnel. 3. Implement a Service for the External Service: - Create a Kubernetes Service to represent the external service and expose it within the cluster. This service can be a headless service, which doesn't provide a public endpoint, as the external service is only accessible from the cluster network.
4. Verify Network Policy Configuration: - Verify that the NetworkPolicy is applied correctly and that the application pods can access the external service. Use 'kubectl get networkpolicies myapp-networkpolicy' to check the policy status and 'kubectl describe pod myapp-XXXX' (where XXXX is a pod name) to check the pod's network configuration.
NEW QUESTION # 82
You have a deployment named 'redis-deployment' running a Redis server with 3 replicas. You need to configure a service with the 'NodePort' type to expose Redis on all nodes in the cluster, but restrict access only from specific pods within a namespace.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a NetworkPolicy:
- Define a NetworkPolicy resource that allows traffic from specific pods in a namespace to the Redis service.
2. Create the NodePort service: - Create a NodePort service for the Redis deployment, allowing access to the Redis server through all nodes in the cluster.
3. Apply the resources: - Apply the NetworkPolicy and service using 'kubectl apply -f networkpolicy.yaml' and 'kubectl apply -f redis- service.yamP. 4. Verify: - Check the status of the NetworkPolicy and service: - 'kubectl get networkpolicies allow-specific-pods-to-redis -n - 'kubectl get services redis-service -n 5. Test: - From a pod labeled with 'app: allowed-app', try to connect to the Redis service using the NodePort on the node. - From a pod that doesn't have the 'allowed-app' label, attempt to connect to the Redis service using the NodePort. You should not be able to connect. Note: Replace with the actual namespace where your Redis deployment and the pods allowed to access it are located.
NEW QUESTION # 83
......
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