Pass Your Exam Easily! CKA Real Question Answers Updated on Oct 31, 2025
Actual Questions Answers Pass With Real CKA Exam Dumps
The CKA certification exam is a challenging test that requires candidates to demonstrate their mastery of Kubernetes. CKA exam covers a wide range of topics, including installation, configuration, and management of Kubernetes clusters. It also tests a candidate's ability to work with the Kubernetes API, troubleshoot common issues, and perform advanced tasks such as scaling and rolling updates.
NEW QUESTION # 32
You must connect to the correct host.
Failure to do so may result in a zero score.
[candidate@base] $ ssh Cka000046
Task
First, create a new StorageClass named local-path for an existing provisioner named rancher.io/local-path .
Set the volume binding mode to WaitForFirstConsumer .
Not setting the volume binding mode or setting it to anything other than WaitForFirstConsumer may result in a reduced score.
Next, configure the StorageClass local-path as the default StorageClass .
Answer:
Explanation:
Task Summary
You need to:
* SSH into cka000046
* Create a StorageClass named local-path using the provisioner rancher.io/local-path
* Set the volume binding mode to WaitForFirstConsumer
* Make this StorageClass the default
Step-by-Step Solution
1## SSH into the correct host
ssh cka000046
## Required. Skipping this = zero score
2## Create a StorageClass YAML file
Create a file named local-path-sc.yaml:
cat <<EOF > local-path-sc.yaml
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
name: local-path
annotations:
storageclass.kubernetes.io/is-default-class: "true"
provisioner: rancher.io/local-path
volumeBindingMode: WaitForFirstConsumer
EOF
# This:
* Sets WaitForFirstConsumer (as required)
* Marks the class as default using the correct annotation
3## Apply the StorageClass
kubectl apply -f local-path-sc.yaml
4## Verify it's the default StorageClass
kubectl get storageclass
You should see local-path with a (default) marker:
NAME PROVISIONER RECLAIMPOLICY VOLUMEBINDINGMODE ALLOWVOLUMEEXPANSION
AGE
local-path rancher.io/local-path Delete WaitForFirstConsumer false 10s
Final Command Summary
ssh cka000046
cat <<EOF > local-path-sc.yaml
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
name: local-path
annotations:
storageclass.kubernetes.io/is-default-class: "true"
provisioner: rancher.io/local-path
volumeBindingMode: WaitForFirstConsumer
EOF
kubectl apply -f local-path-sc.yaml
kubectl get storageclass
NEW QUESTION # 33
From the pod label name=cpu-utilizer, find pods running high CPU workloads and write the name of the pod consuming most CPU to the file /opt/KUTR00102/KUTR00102.txt (which already exists).
Answer:
Explanation:
See the solution below.
Explanation
solution
F:\Work\Data Entry Work\Data Entry\20200827\CKA\16 B.JPG
F:\Work\Data Entry Work\Data Entry\20200827\CKA\16 C.JPG
NEW QUESTION # 34
Configure the kubelet systemd- managed service, on the node labelled with name=wk8s-node-1, to launch a pod containing a single container of Image httpd named webtool automatically. Any spec files required should be placed in the /etc/kubernetes/manifests directory on the node.
You can ssh to the appropriate node using:
[student@node-1] $ ssh wk8s-node-1
You can assume elevated privileges on the node with the following command:
[student@wk8s-node-1] $ | sudo -i
Answer:
Explanation:
See the solution below.
Explanation
solution
F:\Work\Data Entry Work\Data Entry\20200827\CKA\21 C.JPG
F:\Work\Data Entry Work\Data Entry\20200827\CKA\21 D.JPG
F:\Work\Data Entry Work\Data Entry\20200827\CKA\21 E.JPG
F:\Work\Data Entry Work\Data Entry\20200827\CKA\21 F.JPG
F:\Work\Data Entry Work\Data Entry\20200827\CKA\21 G.JPG
NEW QUESTION # 35
Score: 5%
Task
From the pod label name=cpu-utilizer, find pods running high CPU workloads and write the name of the pod consuming most CPU to the file /opt/KUTR00401/KUTR00401.txt (which already exists).
Answer:
Explanation:
Solution:
kubectl top -l name=cpu-user -A
echo 'pod name' >> /opt/KUT00401/KUT00401.txt
NEW QUESTION # 36
Given a partially-functioning Kubernetes cluster, identify symptoms of failure on the cluster.
Determine the node, the failing service, and take actions to bring up the failed service and restore the health of the cluster. Ensure that any changes are made permanently.
You can ssh to the relevant I nodes (
[student@node-1] $ ssh <nodename
You can assume elevated privileges on any node in the cluster with the following command:
[student@nodename] $ | sudo -i
Answer:
Explanation:
See the solution below.
Explanation
solution
F:\Work\Data Entry Work\Data Entry\20200827\CKA\23 C.JPG
F:\Work\Data Entry Work\Data Entry\20200827\CKA\23 D.JPG
F:\Work\Data Entry Work\Data Entry\20200827\CKA\23 E.JPG
NEW QUESTION # 37
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 # 38
Get the pods with label env=dev and output the labels
Answer:
Explanation:
kubectl get pods -l env=dev --show-labels
NEW QUESTION # 39
Score: 5%
Task
From the pod label name=cpu-utilizer, find pods running high CPU workloads and write the name of the pod consuming most CPU to the file /opt/KUTR00401/KUTR00401.txt (which already exists).
Answer:
Explanation:
See the solution below.
Explanation
Solution:
kubectl top -l name=cpu-user -A
echo 'pod name' >> /opt/KUT00401/KUT00401.txt
NEW QUESTION # 40
Create a persistent volume with nameapp-data, of capacity2Giandaccess modeReadWriteMany. Thetype of volume ishostPathand itslocation is/srv/app-data.
Answer:
Explanation:
See the solution below.
Explanation
solution
Persistent Volume
A persistent volume is a piece of storage in aKubernetes cluster. PersistentVolumes are a cluster-level resource like nodes, which don't belong to any namespace. It is provisioned by the administrator and has a particular file size. This way, a developer deploying their app on Kubernetes need not knowthe underlying infrastructure.
When the developer needs a certain amount of persistent storage for their application, the system administrator configures the cluster so that they consume the PersistentVolume provisioned in an easy way.
Creating PersistentVolume
kind: PersistentVolumeapiVersion: v1metadata:name:app-dataspec:capacity: # defines the capacity of PV we are creatingstorage:2Gi#the amount of storage we are tying to claimaccessModes: # defines the rights of the volumewe are creating-ReadWriteManyhostPath:path: "/srv/app-data" # path to which we are creating the volume Challenge
* Create a Persistent Volume named ReadWriteMany, storage classname
shared,2Giof storage capacity and the host path
2. Save the file and create the persistent volume.
Image for post
3. View the persistent volume.
* Our persistent volume status is available meaning it is available and it has not been mounted yet. This status willchange when we mount the persistentVolume to a persistentVolumeClaim.
PersistentVolumeClaim
In a real ecosystem, a system admin will create the PersistentVolume then a developer will create a PersistentVolumeClaim which will be referenced in a pod. A PersistentVolumeClaim is created by specifying the minimum size and the access mode they require from the persistentVolume.
Challenge
* Create a Persistent Volume Claim that requests the Persistent Volume we had created above. The claim should request 2Gi. Ensurethat the Persistent Volume Claim has the same storageClassName as the persistentVolume you had previously created.
kind: PersistentVolumeapiVersion: v1metadata:name:
spec:
accessModes:-ReadWriteManyresources:
requests:storage:2Gi
storageClassName:shared
2. Save and create the pvc
njerry191@cloudshell:~(extreme-clone-2654111)$ kubect1 create -f app-data.yaml persistentvolumeclaim/app-data created
3. View the pvc
Image for post
4. Let's see what has changed in the pv we had initially created.
Image for post
Our status has now changed fromavailabletobound.
5. Create a new pod named myapp with image nginx that will be used to Mount the Persistent Volume Claim with the path /var/app/config.
Mounting a Claim
apiVersion: v1kind: Podmetadata:creationTimestamp: nullname: app-dataspec:volumes:- name:congigpvcpersistenVolumeClaim:claimName: app-datacontainers:- image: nginxname:
appvolumeMounts:- mountPath: "
NEW QUESTION # 41
Get IP address of the pod - "nginx-dev"
Answer:
Explanation:
See the solution below.
Explanation
Kubect1 get po -o wide
Using JsonPath
kubect1 get pods -o=jsonpath='{range
items[*]}{.metadata.name}{"\t"}{.status.podIP}{"\n"}{end}'
NEW QUESTION # 42
You are managing a Kubernetes cluster with several namespaces. You need to restrict access to the 'production' namespace, ensuring only authorized users can access resources within that namespace. Create a Role and RoleBinding that allows users in the 'developers' group to access pods and deployments within the 'production' namespace.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
Step 1: Create a Role
Create a Role named 'production-access' with the following permissions:
Step 2: Create a RoleBinding Create a RoleBinding named production-developers' that binds the 'production-access' role to the 'developers' group:
Step 3: Verify Verify the role and rolebinding have been created correctly: kubectl get role - -namespace=production kubectl get rolebinding - -namespace=production
NEW QUESTION # 43
You have a Kubernetes cluster with multiple namespaces. You need to create a shared network policy that allows pods in a specific namespace ('dev') to communicate with pods in another namespace ('prod'), but only for specific ports. How would you configure this shared network policy?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Network Policy in the 'prod' Namespace:
- Define a Network Policy in the 'prod' namespace that allows ingress traffic from pods in the 'dev' namespace.
- Example:
- This Network Policy will allow TCP traffic from pods in the 'dev' namespace to the 'prod' namespace on ports 8080 and 5432. 2. Apply the Network Policy: - Apply the Network Policy using 'kubectl apply -f network-policy.yaml'. 3. Verify the Policy: - You can use 'kubectl get networkpolicies -n prod' to verify that the Network Policy is created successfully. - Test communication between pods in the 'dev' and prod' namespaces using the specified ports. 4. Additional Considerations: - You can adjust the 'podSelector' and 'namespaceSelector' fields to target specific pods or namespaces. - You can use the 'ingress' and 'egress' fields to configure both ingress and egress traffic rules. - Ensure that your application's deployments have the necessary labels for the Network Policy to apply correctly. ,
NEW QUESTION # 44
Check the Image version of nginx-dev pod using jsonpath
Answer:
Explanation:
See the solution below.
Explanation
kubect1 get po nginx-dev -o
jsonpath='{.spec.containers[].image}{"\n"}'
NEW QUESTION # 45
Create a configmap called cfgvolume with values var1=val1,
var2=val2 and create an nginx pod with volume nginx-volume which
reads data from this configmap cfgvolume and put it on the path
/etc/cfg
- A. // first create a configmap cfgvolume
kubectl create cm cfgvolume --from-literal=var1=val1 --fromliteral=var2=val2
// verify the configmap
kubectl describe cm cfgvolume
// create the config map
kubectl create -f nginx-volume.yml
vim nginx-configmap-pod.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
run: nginx
name: nginx
spec:
volumes:
- name: nginx-volume
configMap:
name: cfgvolume
containers:
- image: nginx
name: nginx
volumeMounts:
- name: nginx-volume
mountPath: /etc/cfg
restartPolicy: Always
k kubectl apply -f nginx-configmap-pod.yaml
/ // Verify
// exec into the pod
kubectl exec -it nginx -- /bin/sh
// check the path
cd /etc/cfg - B. // first create a configmap cfgvolume
kubectl create cm cfgvolume --from-literal=var1=val1 --fromliteral=var2=val2
// verify the configmap
kubectl describe cm cfgvolume
// create the config map
kubectl create -f nginx-volume.yml
vim nginx-configmap-pod.yaml
apiVersion: v1
kind: Pod
- name: nginx-volume
configMap:
name: cfgvolume
containers:
- image: nginx
name: nginx
volumeMounts:
- name: nginx-volume
mountPath: /etc/cfg
restartPolicy: Always
k kubectl apply -f nginx-configmap-pod.yaml
/ // Verify
// exec into the pod
kubectl exec -it nginx -- /bin/sh
// check the path
cd /etc/cfg
Answer: A
NEW QUESTION # 46
Get list of PVs and order by size and write to file - /opt/pvlist.txt
Answer:
Explanation:
kubectl get pv --sort-by=.spec.capacity.storage > /opt/pvlist.txt
NEW QUESTION # 47
One of the nodes in your Kubernetes cluster is experiencing high CPU usage, which is affecting the performance of the entire cluster. The node is running multiple pods, and you need to identify which pod is responsible for the high CPU consumption and take steps to resolve the issue.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify the High-CPU Node:
- Use 'kubectl top nodes' to view the CPU usage of each node in the cluster.
- Identify the node that is experiencing the high CPU usage.
2. List Pods on the Node:
- Use 'kubectl get pods -R to list all pods in the cluster.
- Filter the pods to find those running on the high-CPU node.
- For example, 'kubectl get pods -A I grep
3. Monitor Pod CPU Usage:
- Use 'kubectl top pod -n to view the CPU usage of each pod running on the node.
- Pay attention to the CPU usage metrics for each container within the pod.
4. Examine Pod Logs:
- Use "kubectl logs -f to view the logs of the suspected high-CPU pod.
- Search for any error messages, stack traces, or other indications that the pod is experiencing excessive CPU utilization.
5. Analyze Pod Resource Requests and Limits:
- Check the pod's resource requests and limits using 'kubectl describe pod
- Ensure that the pod is not requesting or using significantly more CPU resources than it needs.
- If the CPU requests are too high, the pod might be consuming excessive CPU even when idle.
6. Troubleshooting Options:
- Based on the analysis of the logs and resource usage:
- Adjust resource limits: If the pod is requesting too much CPU, reduce its CPU requests and limits in the Deployment YAML.
- Optimize container images: Use a smaller container image to reduce the resource footprint.
- Improve application code: Identify and address any inefficient code that is causing high CPU usage.
- Scale down the pod replicas: If the pod's workload is high, reduce the number of replicas to distribute the load across fewer pods.
- Consider using a different pod scheduling strategy: For example, use a node selector or taint to run the pod on a dedicated node with more resources.
7. Monitor and Adjust:
- After making changes to the pod's resources or configuration, monitor the node's CPU usage:
- Use 'kubectl top nodes' and 'kubectl top pod' to observe the impact of the changes.
- Adjust the configuration further if needed: Continue to optimize the pod's resource usage to bring the node's CPU usage back to a healthy level.
NEW QUESTION # 48
......
The CKA certification is an essential credential for professionals who want to demonstrate their proficiency in Kubernetes administration. Certified Kubernetes Administrator (CKA) Program Exam certification is recognized worldwide and is highly valued by organizations that use Kubernetes in their production environments. Certified Kubernetes Administrator (CKA) Program Exam certification provides a competitive edge to professionals and helps them stand out in a crowded job market. The CKA program also provides candidates with access to a community of certified professionals, resources, and tools that can help them advance their careers in Kubernetes administration.
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