PASS GUARANTEED QUIZ LINUX FOUNDATION - VALID VALID REAL CKAD EXAM

Pass Guaranteed Quiz Linux Foundation - Valid Valid Real CKAD Exam

Pass Guaranteed Quiz Linux Foundation - Valid Valid Real CKAD Exam

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CKAD Reliable Exam Review & CKAD Valid Exam Topics

A Linux Foundation Certified Kubernetes Application Developer Exam (CKAD) practice questions is a helpful, proven strategy to crack the Linux Foundation Certified Kubernetes Application Developer Exam (CKAD) exam successfully. It helps candidates to know their weaknesses and overall performance. PracticeDump software has hundreds of Linux Foundation Certified Kubernetes Application Developer Exam (CKAD) exam dumps that are useful to practice in real-time. The Linux Foundation Certified Kubernetes Application Developer Exam (CKAD) practice questions have a close resemblance with the actual CKAD exam.

The CKAD exam is an excellent opportunity for developers who want to demonstrate their expertise in Kubernetes application development. CKAD exam covers a range of topics, including Kubernetes core concepts, pod and service deployment, debugging, troubleshooting, and automation. Candidates who pass the exam will receive a CKAD certification that demonstrates their proficiency in Kubernetes application development. Linux Foundation Certified Kubernetes Application Developer Exam certification is recognized by many organizations in the technology industry and can help developers advance their careers. Additionally, the CKAD Certification is a prerequisite for the Certified Kubernetes Administrator (CKA) certification, which is designed for system administrators who manage Kubernetes clusters.

Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q62-Q67):

NEW QUESTION # 62

Task
You have rolled out a new pod to your infrastructure and now you need to allow it to communicate with the web and storage pods but nothing else. Given the running pod kdsn00201 -newpod edit it to use a network policy that will allow it to send and receive traffic only to and from the web and storage pods.

Answer:

Explanation:
See the solution below.
Explanation
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: internal-policy
namespace: default
spec:
podSelector:
matchLabels:
name: internal
policyTypes:
- Egress
- Ingress
ingress:
- {}
egress:
- to:
- podSelector:
matchLabels:
name: mysql
ports:
- protocol: TCP
port: 3306
- to:
- podSelector:
matchLabels:
name: payroll
ports:
- protocol: TCP
port: 8080
- ports:
- port: 53
protocol: UDP
- port: 53
protocol: TCP


NEW QUESTION # 63
Exhibit:

Context
As a Kubernetes application developer you will often find yourself needing to update a running application.
Task
Please complete the following:
* Update the app deployment in the kdpd00202 namespace with a maxSurge of 5% and a maxUnavailable of 2%
* Perform a rolling update of the web1 deployment, changing the Ifccncf/ngmx image version to 1.13
* Roll back the app deployment to the previous version

  • A. Solution:



  • B. Solution:



Answer: B


NEW QUESTION # 64
Refer to Exhibit.

Task:
A pod within the Deployment named buffale-deployment and in namespace gorilla is logging errors.
1) Look at the logs identify errors messages.
Find errors, including User "system:serviceaccount:gorilla:default" cannot list resource "deployment" [...] in the namespace "gorilla"
2) Update the Deployment buffalo-deployment to resolve the errors in the logs of the Pod.
The buffalo-deployment 'S manifest can be found at -/prompt/escargot/buffalo-deployment.yaml

Answer:

Explanation:
Solution:









NEW QUESTION # 65
You have a Kubernetes Job that runs a Python script for data processing. The script takes 30 minutes to complete, and you need to ensure that the Job is retried up to 3 times if it fails. Additionally, you want the Job to complete within a maximum of 45 minutes. Create a Job YAML file with appropriate configuration.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Job YAML file:

2. Apply the Job YAML file: bash kubectl apply -f data-processing-job.yaml 3. Monitor the Job: bash kubectl get jobs -w This will show the status of the Job, including its completion status and retries, if any. 4. Examine the Job's Pods: bash kubectl get pods -l job-name-data-processing-job You can use the 'kubectl logs command to cneck tne logs of tne POdS created by tne Job to investigate any potential failures. - 'backoffLimit: 3': This specifies that the Job can be retried up to 3 times in case of failures. - 'activeDeadlineSeconds: 2700': This sets the maximum duration for the Job to run (2700 seconds, which is equal to 45 minutes). If the Job exceeds this time limit, it will be automatically terminated. - 'restartPolicy: Never: This ensures that Pods created by the Job will not be restarted automatically. - 'command: ["python", "data_processing_script.py'T: This defines the command to execute inside the container. - 'resources-requests': This defines the minimum resource requirements for the container, including CPU and memory. - 'resources-limits: This can be used to define maximum resource limits for the container. This setup will attempt to run the data processing script If it fails, it will be retried up to 3 times, with an increasing delay between each retry. The Job will be terminated after 45 minutes if it does not complete successfully.,


NEW QUESTION # 66
Exhibit:

Context
A user has reported an aopticauon is unteachable due to a failing livenessProbe .
Task
Perform the following tasks:
* Find the broken pod and store its name and namespace to /opt/KDOB00401/broken.txt in the format:

The output file has already been created
* Store the associated error events to a file /opt/KDOB00401/error.txt, The output file has already been created. You will need to use the -o wide output specifier with your command
* Fix the issue.

  • A. Solution:
    Create the Pod:
    kubectl create -f http://k8s.io/docs/tasks/configure-pod-container/exec-liveness.yaml
    Within 30 seconds, view the Pod events:
    kubectl describe pod liveness-exec
    The output indicates that no liveness probes have failed yet:
    FirstSeen LastSeen Count From SubobjectPath Type Reason Message
    --------- -------- ----- ---- ------------- -------- ------ -------
    24s 24s 1 {default-scheduler } Normal Scheduled Successfully assigned liveness-exec to worker0
    23s 23s 1 {kubelet worker0} spec.containers{liveness} Normal Pulling pulling image "gcr.io/google_containers/busybox"
    kubectl describe pod liveness-exec
    At the bottom of the output, there are messages indicating that the liveness probes have failed, and the containers have been killed and recreated.
    FirstSeen LastSeen Count From SubobjectPath Type Reason Message
    --------- -------- ----- ---- ------------- -------- ------ -------
    37s 37s 1 {default-scheduler } Normal Scheduled Successfully assigned liveness-exec to worker0
    36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Pulling pulling image "gcr.io/google_containers/busybox"
    36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Pulled Successfully pulled image "gcr.io/google_containers/busybox"
    36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Created Created container with docker id 86849c15382e; Security:[seccomp=unconfined]
    36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Started Started container with docker id 86849c15382e
    2s 2s 1 {kubelet worker0} spec.containers{liveness} Warning Unhealthy Liveness probe failed: cat: can't open '/tmp/healthy': No such file or directory
    Wait another 30 seconds, and verify that the Container has been restarted:
    kubectl get pod liveness-exec
    The output shows that RESTARTS has been incremented:
    NAME READY STATUS RESTARTS AGE
    liveness-exec 1/1 Running 1 m
  • B. Solution:
    Create the Pod:
    kubectl create -f http://k8s.io/docs/tasks/configure-pod-container/exec-liveness.yaml
    Within 30 seconds, view the Pod events:
    kubectl describe pod liveness-exec
    The output indicates that no liveness probes have failed yet:
    FirstSeen LastSeen Count From SubobjectPath Type Reason Message
    --------- -------- ----- ---- ------------- -------- ------ -------
    24s 24s 1 {default-scheduler } Normal Scheduled Successfully assigned liveness-exec to worker0
    23s 23s 1 {kubelet worker0} spec.containers{liveness} Normal Pulling pulling image "gcr.io/google_containers/busybox"
    23s 23s 1 {kubelet worker0} spec.containers{liveness} Normal Pulled Successfully pulled image "gcr.io/google_containers/busybox"
    23s 23s 1 {kubelet worker0} spec.containers{liveness} Normal Created Created container with docker id 86849c15382e; Security:[seccomp=unconfined]
    23s 23s 1 {kubelet worker0} spec.containers{liveness} Normal Started Started container with docker id 86849c15382e
    After 35 seconds, view the Pod events again:
    kubectl describe pod liveness-exec
    At the bottom of the output, there are messages indicating that the liveness probes have failed, and the containers have been killed and recreated.
    FirstSeen LastSeen Count From SubobjectPath Type Reason Message
    --------- -------- ----- ---- ------------- -------- ------ -------
    37s 37s 1 {default-scheduler } Normal Scheduled Successfully assigned liveness-exec to worker0
    36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Pulling pulling image "gcr.io/google_containers/busybox"
    36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Pulled Successfully pulled image "gcr.io/google_containers/busybox"
    36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Created Created container with docker id 86849c15382e; Security:[seccomp=unconfined]
    36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Started Started container with docker id 86849c15382e
    2s 2s 1 {kubelet worker0} spec.containers{liveness} Warning Unhealthy Liveness probe failed: cat: can't open '/tmp/healthy': No such file or directory
    Wait another 30 seconds, and verify that the Container has been restarted:
    kubectl get pod liveness-exec
    The output shows that RESTARTS has been incremented:
    NAME READY STATUS RESTARTS AGE
    liveness-exec 1/1 Running 1 m

Answer: B


NEW QUESTION # 67
......

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