[Q11-Q33] Ultimate Guide to Prepare CKAD with Accurate PDF Questions [Jan 12, 2022]

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Ultimate Guide to Prepare CKAD with Accurate PDF Questions [Jan 12, 2022]

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The benefit in Obtaining the CNCF Certified Kubernetes Application Developer

As CKA is linked with KCSP, being CKA certified also opens doors in your career. It can also help you gain an advantage in the hiring process of some organisations. I’ve seen a few organisations mandating the certification, and in that scenario, it would be helpful for you to quickly get within the shortlisted candidates.

At least in the course of preparing for these certifications, you will learn the core of Kubernetes and would appreciate what it can and cannot do. You will also understand what resources you can use in what kind of situations. And while you pass this certification and prepare for the next bit, Kubernetes concepts would be very natural for you.

You can also use certifications to validate your knowledge. It helps you understand what you know about the subject and also address some of the gaps or aspects of the tool you were missing. It also allows you to understand best practices and utilities.

 

NEW QUESTION 11
Exhibit:

Context
It is always useful to look at the resources your applications are consuming in a cluster.
Task
* From the pods running in namespace cpu-stress , write the name only of the pod that is consuming the most CPU to file /opt/KDOBG030l/pod.txt, which has already been created.

  • A. Solution:
  • B. Solution:

Answer: B

 

NEW QUESTION 12
Exhibit:

Context
Developers occasionally need to submit pods that run periodically.
Task
Follow the steps below to create a pod that will start at a predetermined time and]which runs to completion only once each time it is started:
* Create a YAML formatted Kubernetes manifest /opt/KDPD00301/periodic.yaml that runs the following shell command: date in a single busybox container. The command should run every minute and must complete within 22 seconds or be terminated oy Kubernetes. The Cronjob namp and container name should both be hello
* Create the resource in the above manifest and verify that the job executes successfully at least once

  • A. Solution:

  • B. Solution:


Answer: B

 

NEW QUESTION 13
Exhibit:

Task
A deployment is falling on the cluster due to an incorrect image being specified. Locate the deployment, and fix the problem.

  • A. Pending

Answer: A

 

NEW QUESTION 14
Exhibit:

Context
A project that you are working on has a requirement for persistent data to be available.
Task
To facilitate this, perform the following tasks:
* Create a file on node sk8s-node-0 at /opt/KDSP00101/data/index.html with the content Acct=Finance
* Create a PersistentVolume named task-pv-volume using hostPath and allocate 1Gi to it, specifying that the volume is at /opt/KDSP00101/data on the cluster's node. The configuration should specify the access mode of ReadWriteOnce . It should define the StorageClass name exam for the PersistentVolume , which will be used to bind PersistentVolumeClaim requests to this PersistenetVolume.
* Create a PefsissentVolumeClaim named task-pv-claim that requests a volume of at least 100Mi and specifies an access mode of ReadWriteOnce
* Create a pod that uses the PersistentVolmeClaim as a volume with a label app: my-storage-app mounting the resulting volume to a mountPath /usr/share/nginx/html inside the pod

  • A. Solution:








  • B. Solution:









Answer: B

 

NEW QUESTION 15
Context
Anytime a team needs to run a container on Kubernetes they will need to define a pod within which to run the container.
Task
Please complete the following:
* Create a YAML formatted pod manifest
/opt/KDPD00101/podl.yml to create a pod named app1 that runs a container named app1cont using image Ifccncf/arg-output
with these command line arguments: -lines 56 -F
* Create the pod with the kubect1 command using the YAML file created in the previous step
* When the pod is running display summary data about the pod in JSON format using the kubect1 command and redirect the output to a file named /opt/KDPD00101/out1.json
* All of the files you need to work with have been created, empty, for your convenience

  • A. Solution:





  • B. Solution:




Answer: A

 

NEW QUESTION 16
Exhibit:

Context
A container within the poller pod is hard-coded to connect the nginxsvc service on port 90 . As this port changes to 5050 an additional container needs to be added to the poller pod which adapts the container to connect to this new port. This should be realized as an ambassador container within the pod.
Task
* Update the nginxsvc service to serve on port 5050.
* Add an HAproxy container named haproxy bound to port 90 to the poller pod and deploy the enhanced pod. Use the image haproxy and inject the configuration located at /opt/KDMC00101/haproxy.cfg, with a ConfigMap named haproxy-config, mounted into the container so that haproxy.cfg is available at /usr/local/etc/haproxy/haproxy.cfg. Ensure that you update the args of the poller container to connect to localhost instead of nginxsvc so that the connection is correctly proxied to the new service endpoint. You must not modify the port of the endpoint in poller's args . The spec file used to create the initial poller pod is available in /opt/KDMC00101/poller.yaml

  • A. Solution:
    apiVersion: apps/v1
    kind: Deployment
    metadata:
    name: my-nginx
    spec:
    selector:
    matchLabels:
    run: my-nginx
    replicas: 2
    template:
    metadata:
    labels:
    run: my-nginx
    spec:
    containers:
    - name: my-nginx
    image: nginx
    ports:
    - containerPort: 90
    This makes it accessible from any node in your cluster. Check the nodes the Pod is running on:
    kubectl apply -f ./run-my-nginx.yaml
    kubectl get pods -l run=my-nginx -o wide
    NAME READY STATUS RESTARTS AGE IP NODE
    my-nginx-3800858182-jr4a2 1/1 Running 0 13s 10.244.3.4 kubernetes-minion-905m
    my-nginx-3800858182-kna2y 1/1 Running 0 13s 10.244.2.5 kubernetes-minion-ljyd
    Check your pods' IPs:
    kubectl get pods -l run=my-nginx -o yaml | grep podIP
    podIP: 10.244.3.4
    podIP: 10.244.2.5
  • B. Solution:
    apiVersion: apps/v1
    kind: Deployment
    metadata:
    name: my-nginx
    spec:
    selector:
    matchLabels:
    run: my-nginx
    - name: my-nginx
    image: nginx
    ports:
    - containerPort: 90
    This makes it accessible from any node in your cluster. Check the nodes the Pod is running on:
    kubectl apply -f ./run-my-nginx.yaml
    kubectl get pods -l run=my-nginx -o wide
    NAME READY STATUS RESTARTS AGE IP NODE
    my-nginx-3800858182-jr4a2 1/1 Running 0 13s 10.244.3.4 kubernetes-minion-905m
    my-nginx-3800858182-kna2y 1/1 Running 0 13s 10.244.2.5 kubernetes-minion-ljyd
    Check your pods' IPs:
    kubectl get pods -l run=my-nginx -o yaml | grep podIP
    podIP: 10.244.3.4
    podIP: 10.244.2.5

Answer: A

 

NEW QUESTION 17
Exhibit:

Context
Your application's namespace requires a specific service account to be used.
Task
Update the app-a deployment in the production namespace to run as the restrictedservice service account. The service account has already been created.

  • A. Solution:
  • B. Solution:

Answer: B

 

NEW QUESTION 18
Exhibit:

Context
A pod is running on the cluster but it is not responding.
Task
The desired behavior is to have Kubemetes restart the pod when an endpoint returns an HTTP 500 on the /healthz endpoint. The service, probe-pod, should never send traffic to the pod while it is failing. Please complete the following:
* The application has an endpoint, /started, that will indicate if it can accept traffic by returning an HTTP 200. If the endpoint returns an HTTP 500, the application has not yet finished initialization.
* The application has another endpoint /healthz that will indicate if the application is still working as expected by returning an HTTP 200. If the endpoint returns an HTTP 500 the application is no longer responsive.
* Configure the probe-pod pod provided to use these endpoints
* The probes should use port 8080

  • A. Solution:

    In the configuration file, you can see that the Pod has a single Container. The periodSeconds field specifies that the kubelet should perform a liveness probe every 5 seconds. The initialDelaySeconds field tells the kubelet that it should wait 5 seconds before performing the first probe. To perform a probe, the kubelet executes the command cat /tmp/healthy in the target container. If the command succeeds, it returns 0, and the kubelet considers the container to be alive and healthy. If the command returns a non-zero value, the kubelet kills the container and restarts it.
    When the container starts, it executes this command:
    /bin/sh -c "touch /tmp/healthy; sleep 30; rm -rf /tmp/healthy; sleep 600"
    For the first 30 seconds of the container's life, there is a /tmp/healthy file. So during the first 30 seconds, the command cat /tmp/healthy returns a success code. After 30 seconds, cat /tmp/healthy returns a failure code.
    Create the Pod:
    kubectl apply -f https://k8s.io/examples/pods/probe/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 "k8s.gcr.io/busybox"
    23s 23s 1 {kubelet worker0} spec.containers{liveness} Normal Pulled Successfully pulled image "k8s.gcr.io/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 "k8s.gcr.io/busybox"
    36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Pulled Successfully pulled image "k8s.gcr.io/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 1m
  • B. Solution:

    In the configuration file, you can see that the Pod has a single Container. The periodSeconds field specifies that the kubelet should perform a liveness probe every 5 seconds. The initialDelaySeconds field tells the kubelet that it should wait 5 seconds before performing the first probe. To perform a probe, the kubelet executes the command cat /tmp/healthy in the target container. If the command succeeds, it returns 0, and the kubelet considers the container to be alive and healthy. If the command returns a non-zero value, the kubelet kills the container and restarts it.
    When the container starts, it executes this command:
    /bin/sh -c "touch /tmp/healthy; sleep 30; rm -rf /tmp/healthy; sleep 600"
    For the first 30 seconds of the container's life, there is a /tmp/healthy file. So during the first 30 seconds, the command cat /tmp/healthy returns a success code. After 30 seconds, cat /tmp/healthy returns a failure code.
    Create the Pod:
    kubectl apply -f https://k8s.io/examples/pods/probe/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 "k8s.gcr.io/busybox"
    23s 23s 1 {kubelet worker0} spec.containers{liveness} Normal Pulled Successfully pulled image "k8s.gcr.io/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 "k8s.gcr.io/busybox"
    36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Pulled Successfully
    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 1m

Answer: A

 

NEW QUESTION 19
......


Understanding functional and technical aspects of CNCF Certified Kubernetes Application Developer Multi-Container Pods

The following will be discussed in CNCF CKAD dumps pdf:

  • Understand Multi-Container Pod design patterns (e .g. ambassador, adapter, sidecar)

 

Latest CKAD Exam Dumps - Valid and Updated Dumps: https://www.testkingit.com/Linux-Foundation/latest-CKAD-exam-dumps.html

Fully Updated CKAD Dumps - 100% Same Q&A In Your Real Exam: https://drive.google.com/open?id=1QorN7QwmewU4E9Ko6k7rzaTaIjlsexTw