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Valid Test CKA Valid - Pass CKA Once - Reliable Practice CKA Test

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Valid Test CKA Valid - Pass CKA Once - Reliable Practice CKA Test

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q30-Q35):NEW QUESTION # 30
Create a pod that having 3 containers in it? (Multi-Container)
Answer:
Explanation:
See the solution below.
Explanation
image=nginx, image=redis, image=consul
Name nginx container as "nginx-container"
Name redis container as "redis-container"
Name consul container as "consul-container"
Create a pod manifest file for a container and append container
section for rest of the images
kubectl run multi-container --generator=run-pod/v1 --image=nginx --
dry-run -o yaml > multi-container.yaml
# then
vim multi-container.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
run: multi-container
name: multi-container
spec:
containers:
- image: nginx
name: nginx-container
- image: redis
name: redis-container
- image: consul
name: consul-container
restartPolicy: Always

NEW QUESTION # 31
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 # 32
You have a Deployment named 'api-server' with 4 replicas of an API server container. You need to implement a rolling update strategy that allows for a maximum of 2 pods to be unavailable at any given time. You also want to ensure that the update process is triggered automatically whenever a new image is pushed to the Docker Hub repository "my.org/api-server:latest'. Furthermore, you want to ensure that the update process is completed within a specified timeout of 5 minutes. If the update fails to complete within the timeout, the deployment should revert to the previous version.
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 4.
- Define 'maxUnavailable: 2' and maxSurge: in the 'strategy.rollingUpdate' section to control the rolling update process.
- Configure a 'strategy.type' to to trigger a rolling update when the deployment is updated.
- Set 'spec.template.spec.containers[0].imagePullPolicy: Always' to ensure that the new image is pulled even if it exists in the pod's local cache.
- Add a 'spec.progressDeadlineSeconds: 300' to set a timeout of 5 minutes for the update process.

2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f api-server.yaml' 3. Verify the Deployment: - Check the status of the deployment using "kubectl get deployments api-server' to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Push a new image to the 'my.org/api-server:latest' Docker Hub repository. 5. Monitor the Deployment: - Use Vxubectl get pods -l app=api-server' to monitor the pod updates during the rolling update process. 6. Observe Rollback if Timeout Exceeds: - If the update process takes longer than 5 minutes to complete, the deployment will be rolled back to the previous version. This can be observed using 'kubectl describe deployment api-server' and checking the 'updatedReplicas' and 'availableReplicas' fields.

NEW QUESTION # 33
Create a file called "config.txt" with two values key1=value1
and key2=value2. Then create a configmap named "keyvalcfgmap" andread data from the file "config.txt" and verify that configmap is created correctly
  • A. cat >> config.txt << EOF
    key1=value1
    key2=value2
    EOF
    cat config.txt
    // Create configmap from "config.txt" file
    kubectl create cm keyvalcfgmap --from-file=config.txt
    //Verify
    kubectl get cm keyvalcfgmap -o yaml
  • B. cat >> config.txt << EOF
    key1=value1
    key2=value2
    EOF
    kubectl create cm keyvalcfgmap --from-file=config.txt
    //Verify
    kubectl get cm keyvalcfgmap -o yaml
Answer: A

NEW QUESTION # 34
Create a busybox pod which executes this command sleep 3600 with the service account admin and verify
  • A. kubectl run busybox --image=busybox --restart=Always --dry-run
    -o yaml -- /bin/sh -c "sleep 3600" > busybox.yml
    // Edit busybox.yaml file
    apiVersion: v1
    kind: Pod
    metadata:
    creationTimestamp: null
    labels:
    run: busybox
    name: busybox
    spec:
    serviceAccountName: admin
    containers:
    - args:
    - /bin/sh
    - -c
    - sleep 3800
    image: busybox
    name: busybox
    restartPolicy: Always
    // verify
    K kubectl describe po busybox
  • B. kubectl run busybox --image=busybox --restart=Always --dry-run
    -o yaml -- /bin/sh -c "sleep 3600" > busybox.yml
    // Edit busybox.yaml file
    apiVersion: v1
    kind: Pod
    metadata:
    creationTimestamp: null
    labels:
    run: busybox
    name: busybox
    spec:
    serviceAccountName: admin
    containers:
    - args:
    - /bin/sh
    - -c
    - sleep 3600
    image: busybox
    name: busybox
    restartPolicy: Always
    // verify
    K kubectl describe po busybox
Answer: B

NEW QUESTION # 35
......
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