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Jan-2022 Realistic CKAD Exam Dumps with Accurate & Updated Questions [Q10-Q34]

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Jan-2022 Realistic CKAD Exam Dumps with Accurate & Updated Questions

CKAD Exam Dumps - PDF Questions and Testing Engine


Difficulty in Attempting CNCF Certified Kubernetes Application Developer

As CNCF Kubernetes Certifications are entirely hands-on, you can’t simply bluff your way through them. You have to give the time and dedication to progress — merely knowing the concepts is not enough. You also need to do your thing and know the real stuff.

While the exams are open-book, you can only refer to kubernetes.io and github.com/kubernetes, which makes it even more challenging given the limited time you have. You can’t pass this exam if you haven’t developed muscle memory.

Certification is valuable, but whether or not you should do it depends on your requirements and tech positioning. If you think that just doing this certification will land you an excellent job without any working knowledge, then please don’t attempt it.

It may allow you initially during the hiring process, but you will probably be turned down when you land in the tech interview phase. When I do interviews, certification doesn’t matter much — I look at what experience the candidate caries and what value they can deliver to the team or the position I’m hiring for.

Yes, you get to understand all aspects of Kubernetes by preparing for the certification. But you won’t learn much about the kind of issues you might face in real-world situations — that’s completely different from what you’re presented with during the preparation. You will need CNCF CKAD practice exam and CNCF CKAD practice tests for that.

 

NEW QUESTION 10
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 11
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 12
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 13
Exhibit:

Context
A web application requires a specific version of redis to be used as a cache.
Task
Create a pod with the following characteristics, and leave it running when complete:
* The pod must run in the web namespace.
The namespace has already been created
* The name of the pod should be cache
* Use the Ifccncf/redis image with the 3.2 tag
* Expose port 6379

  • A. Solution:
  • B. Solution:

Answer: B

 

NEW QUESTION 14
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 15
Exhibit:

Task
You are required to create a pod that requests a certain amount of CPU and memory, so it gets scheduled to-a node that has those resources available.
* Create a pod named nginx-resources in the pod-resources namespace that requests a minimum of 200m CPU and 1Gi memory for its container
* The pod should use the nginx image
* The pod-resources namespace has already been created

  • A. Solution:




  • B. Solution:



Answer: A

 

NEW QUESTION 16
Exhibit:

Context
You have been tasked with scaling an existing deployment for availability, and creating a service to expose the deployment within your infrastructure.
Task
Start with the deployment named kdsn00101-deployment which has already been deployed to the namespace kdsn00101 . Edit it to:
* Add the func=webFrontEnd key/value label to the pod template metadata to identify the pod for the service definition
* Have 4 replicas
Next, create ana deploy in namespace kdsn00l01 a service that accomplishes the following:
* Exposes the service on TCP port 8080
* is mapped to me pods defined by the specification of kdsn00l01-deployment
* Is of type NodePort
* Has a name of cherry

  • A. Solution:



  • B. Solution:


Answer: A

 

NEW QUESTION 17
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"
    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
  • 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"
    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: A

 

NEW QUESTION 18
......


Understanding functional and technical aspects of CNCF Certified Kubernetes Application Developer Observability

The following will be discussed in CNCF CKAD dumps:

  • Understand debugging in Kubernetes
  • Understand container logging
  • Understand LivenessProbes and ReadinessProbes
  • Understand how to monitor applications in Kubernetes

 

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