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[General] CKA Vce Format - Free PDF Linux Foundation First-grade CKA Reliable Exam Prep

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【General】 CKA Vce Format - Free PDF Linux Foundation First-grade CKA Reliable Exam Prep

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The Certified Kubernetes Administrator (CKA) Program Exam is a certification exam offered by the Linux Foundation. CKA exam is designed to test an individual's knowledge and skills related to Kubernetes administration, as well as their ability to work with various Kubernetes tools and resources. The CKA Exam is a popular certification among IT professionals who are interested in building their knowledge of container orchestration and management.
Free PDF 2026 Linux Foundation CKA: Certified Kubernetes Administrator (CKA) Program Exam Useful Vce FormatYou can get a sense of the actual CKA exam by attempting our CKA practice tests. Desktop and web-based practice exams are identical to the real CKA exam and simulate the CKA exam environment. Practice exams (desktop and web-based) of can be customized according to your needs. One benefit of taking CKA Practice Tests multiple times is that it enables you to concentrate on your weak areas.
Linux Foundation CKA (Certified Kubernetes Administrator) program certification exam is a highly sought-after certification among IT professionals. Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. The CKA Certification Exam validates the skills and knowledge required to manage and maintain Kubernetes clusters in production environments.
Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q47-Q52):NEW QUESTION # 47
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:
See the solution below.
Explanation
solution
F:WorkData Entry WorkData Entry‚00827CKA C.JPG


NEW QUESTION # 48
You have a Kubernetes cluster with two worker nodes and a single Nginx service deployed. You want to expose this service externally using a LoadBalancer service type but only want traffic to be directed to pods on a specific worker node. How would you achieve this?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Node Selector:
- Create a Node Selector label on the worker node where you want to host the Nginx pods.
- Example:

- Apply this configuration using 'kubectl apply -f node-config.yaml'. 2. Configure the Deployment: - Update the Nginx deployment to include the Node Selector label in its pod template. - Example:

- Apply the updated deployment configuration using 'kubectl apply -f nginx-deployment.yamr. 3. Create a LoadBalancer Service: - Create a LoadBalancer type service that selects the Nginx pods with the 'app=nginx' label. - Example:

- Apply the service configuration using 'kubectl apply -f nginx-service.yamP. 4. Verify the Deployment: - Confirm the deployment of the Nginx pods on the specified worker node using 'kubectl get pods -l app=nginx -o wide'. - Check the LoadBalancer service's external IP address using 'kubectl get services nginx-service'. - Access the Nginx service using the external IP address. All traffic should be routed to the pods on the worker node with the 'worker-type: nginx' label. ---

NEW QUESTION # 49
Quick Reference
ConfigMaps,
Documentation Deployments,
Namespace
You must connect to the correct host . Failure to do so may result in a zero score.
[candidate@base] $ ssh cka000048b
Task
An NGINX Deployment named nginx-static is running in the nginx-static namespace. It is configured using a ConfigMap named nginx-config .
First, update the nginx-config ConfigMap to also allow TLSv1.2. connections.
You may re-create, restart, or scale resources as necessary.
You can use the following command to test the changes:
[candidate@cka000048b] $ curl -- tls-max
1.2 https://web.k8s.local
Answer:
Explanation:
Task Summary
* SSH into cka000048b
* Update the nginx-config ConfigMap in the nginx-static namespace to allow TLSv1.2
* Ensure the nginx-static Deployment picks up the new config
* Verify the change using the provided curl command
Step-by-Step Instructions
Step 1: SSH into the correct host
ssh cka000048b
Step 2: Get the ConfigMap
kubectl get configmap nginx-config -n nginx-static -o yaml > nginx-config.yaml Open the file for editing:
nano nginx-config.yaml
Look for the TLS configuration in the data field. You are likely to find something like:
ssl_protocols TLSv1.3;
Modify it to include TLSv1.2 as well:
ssl_protocols TLSv1.2 TLSv1.3;
Save and exit the file.
Now update the ConfigMap:
kubectl apply -f nginx-config.yaml
Step 3: Restart the NGINX pods to pick up the new ConfigMap
Pods will not reload a ConfigMap automatically unless it's mounted in a way that supports dynamic reload and the app is watching for it (NGINX typically doesn't by default).
The safest way is to restart the pods:
Option 1: Roll the deployment
kubectl rollout restart deployment nginx-static -n nginx-static
Option 2: Delete pods to force recreation
kubectl delete pod -n nginx-static -l app=nginx-static
Step 4: Verify using curl
Use the provided curl command to confirm that TLS 1.2 is accepted:
curl --tls-max 1.2 https://web.k8s.local
A successful response means the TLS configuration is correct.
Final Command Summary
ssh cka000048b
kubectl get configmap nginx-config -n nginx-static -o yaml > nginx-config.yaml nano nginx-config.yaml # Modify to include "ssl_protocols TLSv1.2 TLSv1.3;" kubectl apply -f nginx-config.yaml kubectl rollout restart deployment nginx-static -n nginx-static
# or
kubectl delete pod -n nginx-static -l app=nginx-static
curl --tls-max 1.2 https://web.k8s.local

NEW QUESTION # 50
Create a deployment called webapp with image nginx having 5 replicas in it, put the file in /tmp directory with named webapp.yaml
  • A. //Create a file using dry run command
    kubectl create deploy --image=nginx --dry-run -o yaml >
    /tmp/webapp.yaml
    // Now, edit file webapp.yaml and update replicas=5
    apiVersion: apps/v1
    kind: Deployment
    metadata:
    labels:
    app: webapp
    name: webapp
    spec:
    replicas: 5
    selector:
    matchLabels:
    app: webapp
    template:
    metadata:
    labels:
    app: webapp
    spec:
    containers:
    - image: nginx
    name: nginx
    Note: Search "deployment" in kubernetes.io site , you will get
    the page
    https://kubernetes.io/docs/concepts/workloads/controllers/deplo
    yment/
    // Verify the Deployment
    kubectl get deploy webapp --show-labels
    // Output the YAML file of the deployment webapp
    kubectl get deploy webapp -o yaml
  • B. //Create a file using dry run command
    kubectl create deploy --image=nginx --dry-run -o yaml >
    /tmp/webapp.yaml
    // Now, edit file webapp.yaml and update replicas=5
    apiVersion: apps/v1
    kind: Deployment
    metadata:
    labels:
    app: webapp
    name: webapp
    spec:
    replicas: 5
    selector:
    matchLabels:
    app: webapp
    template:
    metadata:
    labels:
    Note: Search "deployment" in kubernetes.io site , you will get
    the page
    https://kubernetes.io/docs/concepts/workloads/controllers/deplo
    yment/
    // Verify the Deployment
    kubectl get deploy webapp --show-labels
    // Output the YAML file of the deployment webapp
    kubectl get deploy webapp -o yaml
Answer: A

NEW QUESTION # 51
Create a Pod with three busy box containers with commands "ls; sleep 3600;", "echo Hello World; sleep 3600;" and "echo this is the third container; sleep 3600" respectively and check the status
  • A. // first create single container pod with dry run flag
    kubectl run busybox --image=busybox --restart=Always --dry-run
    -o yaml -- bin/sh -c "sleep 3600; ls" > multi-container.yaml
    // edit the pod to following yaml and create it
    apiVersion: v1
    kind: Pod
    metadata:
    labels:
    run: busybox
    name: busybox
    spec:
    containers:
    - args:
    - bin/sh
    - -c
    - ls; sleep 3600
    image: busybox
    name: busybox-container-1
    - args:
    - bin/sh
    - -c
    - echo Hello world; sleep 3600
    image: busybox
    name: busybox-container-2
    - args:
    - bin/sh
    - -c
    - echo this is third container; sleep 3600
    image: busybox
    name: busybox-container-3
    restartPolicy: Always
    // Verify
    Kubectl get pods
  • B. // first create single container pod with dry run flag
    kubectl run busybox --image=busybox --restart=Always --dry-run
    -o yaml -- bin/sh -c "sleep 3600; ls" > multi-container.yaml
    // edit the pod to following yaml and create it
    apiVersion: v1
    kind: Pod
    metadata:
    labels:
    run: busybox
    name: busybox
    spec:
    containers:
    - args:
    - bin/sh
    - -c
    - ls; sleep 3600
    - echo Hello world; sleep 3600
    image: busybox
    name: busybox-container-2
    - args:
    - bin/sh
    - -c
    - echo this is third container; sleep 3600
    image: busybox
    name: busybox-container-3
    restartPolicy: Always
    // Verify
    Kubectl get pods
Answer: A

NEW QUESTION # 52
......
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