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Linux Foundation CKAD (Certified Kubernetes Application Developer) Certification Exam is a popular certification exam for individuals who want to showcase their proficiency in Kubernetes application development. Kubernetes is an open-source system used for automating deployment, scaling, and management of containerized applications. As Kubernetes gains popularity, the demand for professionals with CKAD Certification is rapidly increasing. Linux Foundation Certified Kubernetes Application Developer Exam certification exam is designed to test the candidate's ability to design, build, configure, and expose Kubernetes applications.

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Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q10-Q15):

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

Task:
Create a Pod named nginx resources in the existing pod resources namespace.
Specify a single container using nginx:stable image.
Specify a resource request of 300m cpus and 1G1 of memory for the Pod's container.

Answer:

Explanation:
See the solution below.
Explanation
Solution:

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Text Description automatically generated

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NEW QUESTION # 12
Refer to Exhibit.

Set Configuration Context:
[student@node-1] $ | kubectl
Config use-context k8s
Context
You sometimes need to observe a pod's logs, and write those logs to a file for further analysis.
Task
Please complete the following;
* Deploy the counter pod to the cluster using the provided YAMLspec file at /opt/KDOB00201/counter.yaml
* Retrieve all currently available application logs from the running pod and store them in the file /opt/KDOB0020l/log_Output.txt, which has already been created

Answer:

Explanation:
Solution:
To deploy the counter pod to the cluster using the provided YAML spec file, you can use the kubectl apply command. The apply command creates and updates resources in a cluster.
kubectl apply -f /opt/KDOB00201/counter.yaml
This command will create the pod in the cluster. You can use the kubectl get pods command to check the status of the pod and ensure that it is running.
kubectl get pods
To retrieve all currently available application logs from the running pod and store them in the file /opt/KDOB0020l/log_Output.txt, you can use the kubectl logs command. The logs command retrieves logs from a container in a pod.
kubectl logs -f <pod-name> > /opt/KDOB0020l/log_Output.txt
Replace <pod-name> with the name of the pod.
You can also use -f option to stream the logs.
kubectl logs -f <pod-name> > /opt/KDOB0020l/log_Output.txt &
This command will retrieve the logs from the pod and write them to the /opt/KDOB0020l/log_Output.txt file.
Please note that the above command will retrieve all logs from the pod, including previous logs. If you want to retrieve only the new logs that are generated after running the command, you can add the --since flag to the kubectl logs command and specify a duration, for example --since=24h for logs generated in the last 24 hours.
Also, please note that, if the pod has multiple containers, you need to specify the container name using -c option.
kubectl logs -f <pod-name> -c <container-name> > /opt/KDOB0020l/log_Output.txt The above command will redirect the logs of the specified container to the file.

NEW QUESTION # 13
Context

Task:
A Dockerfile has been prepared at -/human-stork/build/Dockerfile
1) Using the prepared Dockerfile, build a container image with the name macque and lag 3.0. You may install and use the tool of your choice.

2) Using the tool of your choice export the built container image in OC-format and store it at -/human stork/macque 3.0 tar

Answer:

Explanation:
Solution:

NEW QUESTION # 14
Exhibit:

Task
Create a new deployment for running.nginx with the following parameters;
* Run the deployment in the kdpd00201 namespace. The namespace has already been created
* Name the deployment frontend and configure with 4 replicas
* Configure the pod with a container image of lfccncf/nginx:1.13.7
* Set an environment variable of NGINX__PORT=8080 and also expose that port for the container above