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Linux Foundation CKAD Exam Syllabus Topics:

SectionObjectives
Topic 1: Application Observability and Maintenance- Monitor and troubleshoot applications
- Understand probes and health checks
Topic 2: Services and Networking- Ingress basics
- Pod networking concepts
- Services (ClusterIP, NodePort)
Topic 3: Application Deployment- Understand rolling updates and rollbacks
- Use Kubernetes primitives to implement deployments
Topic 4: Application Environment, Configuration and Security- Security contexts and service accounts
- ConfigMaps and Secrets usage
Topic 5: State Persistence- Storage classes and volume mounting
- PersistentVolumes and PersistentVolumeClaims
Topic 6: Application Design and Build- Understand Jobs and CronJobs
- Understand multi-container Pod design patterns
- Define, build and modify container images

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Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q220-Q225):

NEW QUESTION # 220

Task:
Modify the existing Deployment named broker-deployment running in namespace quetzal so that its containers.
1) Run with user ID 30000 and
2) Privilege escalation is forbidden
The broker-deployment is manifest file can be found at:

Answer:

Explanation:
See the solution below.
Explanation:
Solution:



NEW QUESTION # 221
You have a Deployment named 'my-app-deployment' that runs 3 replicas of an application container. The application container requires access to a ConfigMap named 'my-app-config' . You want to configure your Deployment to use Kustomize to automatically update the ConfigMap's data within the containers whenever the ConfigMap is updated. You also need to configure a rolling update strategy for the Deployment that allows for a maximum of one pod to be unavailable during the update process.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a ConfigMap with the necessary data:

Apply tne ConfigMap using 'kubectl apply -f my-app-config.yaml' 2. Create a Kustomization file for your Deployment:

This file defines the resources that Kustomize will manage and the patch file to apply 3. Create a patch file to reference the ConfigMap:

This patch adds a 'envFrom' section to the container, referencing the 'my-app-config' ConfigMap. 4. Create your Deployment YAML file:

5. Apply the Kustomize configuration: - Navigate to the directory containing your Kustomization file. - Run the command 'kustomize build' to build the Kustomize resources. - Apply the built resources using 'kubectl apply -f kustomization_yaml' 6. Update the ConfigMap: Modify the data within the 'my-app-config' ContigMap. You can either edit the YAML file directly or use 'kubectl patch' to update specific values. 7. Verify the update: - Observe the logs of your 'my-apps containers to confirm that the environment variable has been updated with the new ConfigMap data. - Use 'kubectl get pods -l app=my-app' to monitor the rolling update process. You should see one pod at a time being updated with the new ConfigMap data. Note: The rolling update strategy ensures that only one pod is unavailable at a time during the update process, minimizing downtime. Kustomize ensures that the ConfigMap changes are automatically applied to the Deployment, keeping your application up-to-date.]


NEW QUESTION # 222
You are tasked With deploying a new web application on Kubernetes. The application is designed to be highly available and requires persistent storage for user dat a. The application needs to be able to handle incoming requests even during rolling updates. How would you design the deployment using StatetulSets, ensuring that the application remains available and data is preserved even when updating the deployment?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Create a PersistentVoIumeCIaim:
- Define a PersistentVoIumeCIaim (PVC) to request the necessary storage space for the application's data. This ensures persistent storage is provisioned for each pod.

2. Define a StatefulSet: - Create a StatefulSet that defines the deployment configuration. Ensure that the following configurations are included: - 'serviceName': Define a service name for the StatefulSet. - 'replicas': Define tne number of replicas (pods) required for the application. - 'volumeClaimTemplates': Include the previously defined PVC to ensure each pod is assigned persistent storage. - 'template-spec-containers. volumeMounts': Mount the volume from the PVC at the desired location within the container. - 'podManagementP01icy: Parallels: Configure the podManagementP01icy to allow parallel pod updates during rolling updates, maintaining application availability.

3. Create the Service. - Create a service that exposes the application to the outside world Use the 'ClusterlP' service type for internal access within the Kubernetes cluster.

4. Apply the Configuration: - Apply the StatefulSet, PVC, and service configurations using 'kubectl apply -f' to deploy the application on Kubernetes. 5. Verify the Deployment: - Use 'kubectl get statefulsets webapp-statefulset and 'kubectl get pods -I app=webapp' to verify that the StatefuISet has been deployed successfully and the pods are running with the correct configurations. 6. Test Rolling Updates: - Push a new image to the 'example/webapp:latest Docker Hub repository. The StatetulSet will automatically initiate a rolling update. Monitor the pods using 'kubectl get pods -l app=webapp' to observe the update process. You should see that pods are updated one at a time, ensuring that the application remains available throughout the update. Important Notes: - StatetulSets are ideal for applications that require persistent storage, unique identifiers, and ordered deployments, making them suitable for highly available web applications. - The 'podManagementPolicy: Parallel' setting ensures that the application remains available even when pods are updated. - Always define a 'partition' in the 'rollinglJPdate' strategy to ensure that all pods are part of the update. - Consider using liveness probes and readiness probes Within your application containers for health checks to ensure the application is healthy during the rolling update process. - For external access, you can use a LoadBalancer service type in the service definition.,


NEW QUESTION # 223

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

Answer:

Explanation:
See the solution below.
Explanation
Solution:
apiVersion: v1
kind: Pod
metadata:
labels:
test: liveness
name: liveness-exec
spec:
containers:
- name: liveness
image: k8s.gcr.io/busybox
args:
- /bin/sh
- -c
- touch /tmp/healthy; sleep 30; rm -rf /tmp/healthy; sleep 600
livenessProbe:
exec:
command:
- cat
- /tmp/healthy
initialDelaySeconds: 5
periodSeconds: 5
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


NEW QUESTION # 224

Context
You are tasked to create a ConfigMap and consume the ConfigMap in a pod using a volume mount.
Task
Please complete the following:
* Create a ConfigMap named another-config containing the key/value pair: key4/value3
* start a pod named nginx-configmap containing a single container using the nginx image, and mount the key you just created into the pod under directory /also/a/path See the solution below.

Answer:

Explanation:
Solution:






NEW QUESTION # 225
......

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