Certified Kubernetes Application Developer (CKAD) Exam (CKAD) - Linux Foundation Exam Questions

SIMULATION You must connect to the correct host . Failure to do so may result in a zero score.
[candidate@base] $ ssh ckad00021
Task

Create a Cronjob named grep that executes a Pod running the following single container: name: busybox image: busybox:stable command: ["grep", "

-i", "nameserv
er", "/etc/resolv.conf"]

Configure the CronJob to: execute Once every 30 minutes keep 96 completed Job keep 192 failed Job never restart pods terminate pods after 8 seconds Manually create and execute once job named grep-test from the grep Cronjob

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.

Task:









SIMULATION solution below.

• Add the func=webFrontEnd key/value label to the pod template metadata to identify the pod for

• is mapped to me pods defined by the specification of kdsn00l01-deployment
Start with the deployment named kdsn00101-deployment which has already been deployed to the namespace kdsn00101 . Edit it to:

Next, create ana deploy in namespace kdsn00l01 a service that accomplishes the following:

• Exposes the service on TCP port 8080
Task You have been tasked with scaling an existing deployment for availability, and creating a service to the service definition

• Have 4 replicas











expose the deployment within your infrastructure.

• Has a name of cherry

• Is of type NodePort
Context SIMULATION solution below.

SIMULATION

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 solution below.

SIMULATION Context You are asked to set resource requests and limits for a running workload to ensure fair resource management. “Do not delete the existing Deployment . Failure to do so will result in a reduced score.” Next, ensure that the total amount of resources in the namespace matches the maximum resources the Pods from the nginx-resources Deployment can request. Failure to do so will result in the updated Deployment failing to roll out successfully.