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Die Linux Foundation Certified Kubernetes Application Developer (CKAD) Prüfung ist ein Zertifizierungsprogramm, das dazu entwickelt wurde, die Fähigkeiten und Kenntnisse von Entwicklern zu validieren, die mit Kubernetes arbeiten. Kubernetes ist eine Open-Source-Container-Orchestrierungsplattform, die zum Branchenstandard für das Verwalten und Bereitstellen containerisierter Anwendungen geworden ist. Dieses Zertifizierungsprogramm testet die Fähigkeit des Kandidaten, cloud-native Anwendungen für Kubernetes zu entwerfen, zu erstellen, zu konfigurieren und freizugeben.
Die CKAD-Zertifizierungsprüfung ist eine praktische Prüfung, die eine breite Palette von Themen im Zusammenhang mit der Entwicklung von Kubernetes-Anwendungen abdeckt. Dies umfasst das Bereitstellen und Konfigurieren von Anwendungen, das Erstellen und Verwalten von Kubernetes -Objekten, die Fehlerbehebung von Anwendungen und das Arbeiten mit Kubernetes -APIs. Die Prüfung soll die Fähigkeit des Entwicklers testen, mit Kubernetes in einem realen Szenario zu arbeiten, und erfordert die Verwendung von Befehlszeilen-Tools und Kubernetes-APIs.
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Linux Foundation CKAD Prüfungsplan:
| Thema | Einzelheiten |
|---|
| Thema 1 | - Application Observability and Maintenance: Here, you'll cover sub-topics related to API deprecations, implementing probes and health checks for applications. Moreover, the topic discusses monitoring Kubernetes applications by using built-in CLI tools, utilizing container logs, and performing debugging tasks within a Kubernetes environment.
|
| Thema 2 | - Application Environment, Configuration, and Security: This topic covers discovering and using Kubernetes resources like Custom Resource Definitions (CRD) and Operators, understanding authentication, authorization, and admission control mechanisms. It also focuses on requests, limits, and quotas. Lastly, the topic covers ConfigMaps and Secrets, application security and ServiceAccounts.
|
| Thema 3 | - Application Design and Build: This topic covers defining, building, and modifying container images, choosing and utilizing workload resources like Deployments and DaemonSets, understanding multi-container Pod design patterns, and utilizing persistent and ephemeral volumes within Kubernetes.
|
| Thema 4 | - Services and Networking: In this topic, you'll explore NetworkPolicies, troubleshooting access to applications via Kubernetes services, and using Ingress rules to expose applications externally.
|
| Thema 5 | - Application Deployment: It gives you information on implementing common deployment strategies, understanding deployments and rolling updates, and using Helm to deploy existing packages.
|
Linux Foundation Certified Kubernetes Application Developer Exam CKAD Prüfungsfragen mit Lösungen (Q65-Q70):
65. Frage

Task:
The pod for the Deployment named nosql in the craytisn namespace fails to start because its container runs out of resources.
Update the nosol Deployment so that the Pod:
1) Request 160M of memory for its Container
2) Limits the memory to half the maximum memory constraint set for the crayfah name space.

Antwort:
Begründung:
See the solution below.
Explanation
Solution:




66. Frage
You have an application that requires a TLS certificate for secure communication Witn a specific service Within tne Kubernetes cluster. How can you create a Kubernetes secret that holds the certificate and private key, and then configure your deployment to use it?
Antwort:
Begründung:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Generate a Certificate and Key:
- If you don't already have a certificate and private key, you can use tools like 'openssl to generate them:
bash
openssl req -x509 -newkey rsa:2048 -keyout private-key -out cert.pem -days 365 -nodes
- This will create two files: 'private-key' (private key) and 'cert.pern' (certificate).
2. Create a Kubernetes Secret:
- Create a YAML file, for example, 'tls-secret.yaml':

- Replace and with the Base64 encoded contents of your certificate and key files. You can use 'base64' command for encoding: bash echo "certificate content" | base64 echo "private key content" | base64 3. Apply the Secret: - Apply the secret to your Kubernetes cluster: bash kubectl apply -f tls-secret.yaml 4. Modify your Deployment: - Add the following to your deployment YAML file:

5. Update your Application: - Your application needs to be configured to use the mounted TLS certificate and key from the secret. The specific configuration will depend on the application. - It will typically involve setting environment variables pointing to the location of the certificate and key files, for example, 'TLS_CERT_FILE'and 'TLS_KEY_FILE.
67. Frage
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"
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"
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
Antwort: B
68. Frage
You have a Deployment that runs a critical service with 5 replicas. You need to update the service with a new image, but you want to ensure that only one replica is unavailable at a time during the update process. You also want to control how long the update process can take. How would you implement this using the 'rollinglJpdate' strategy?
Antwort:
Begründung:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAMLI
- Set 'strategy.type' to 'RollingLJpdate'
- Configure 'strategy.rollingupdate.maxunavailable' to 'I' to limit the number of unavailable replicas during the update.
- Set 'strategy-rollinglJpdate.maxSurge' to to allow for a maximum of six replicas during the update process.

2. Control Update Duration (Optional): - Optionally, you can use 'strategy-rollingUpdate.partition' to control the number of pods updated at a time. This allows you to slow down the update process by updating fewer pods at once- For example, setting 'partition' to ' 2' would update only two pods at a time.

3. Create or IJpdate the Deployment: - Apply the updated YAML file using 'kubectl apply -f my-critical-service-deployment.yaml' 4. Trigger the Update: - Update the image of your application to a newer version. - You can trigger the update by pushing a new image to your container registry. 5. Monitor the Update: - Use 'kubectl get pods -I app=my-critical-service to monitor the pod updates during the rolling update process. - Observe the pods being updated one at a time, ensuring that there's always at least four replicas available. 6. Check for Successful Update: - Once the update is complete, use 'kubectl describe deployment my-critical-service' to verify that the 'updatedReplicaS field matches the 'replicas' field.,
69. Frage
You have a Deployment named 'my-app-deployment' running an application that requires a specific version of a database. This version is available in a private Docker registry with access credentials stored in a Secret. How would you configure the Deployment to pull the database image from the private registry using the Secret's credentials?
Antwort:
Begründung:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Secret:
- Create a secret containing the usemame and password required to access the private registry.
- Replace 'your-registry-username' and 'your-registry-password' with your actual credentials.

2. Update the Deployment - Modify the Deployment configuration to include the 'imagePullSecrets' field. - Add the name oftne secret you created in the previous step. - Replace 'your-private-registry-domain/your-database-image:your-version' with the actual image name and version.

3. Apply the Changes: - Apply the updated Deployment configuration using 'kubectl apply -f my-app-deployment.yamr. 4. Verify the Pull: - Check the logs of the Pods in the Deployment. You should see messages indicating that the database image is pulled from the private registry using the provided credentials.
70. Frage
......
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