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CKA Probesfragen, CKA Lernressourcen

Warum vertrauen wir It-Pruefung so völlig auf unsere Produkte? Denn Viele Kunden haben mit Hilfe von Linux Foundation CKA Prüfungssoftware die ausgezeichneten Leistungen vollbracht. Die Prüfungszertifizierung der Linux Foundation CKA verbessert zweifellos Ihre Berufschancen. Wir wollen unsere Produkte verlässilicher machen, damit Sie unbesorgter auf die Prüfung vorbereiten. Außerdem versprechen wir, falls Sie nach der Benutzung der Linux Foundation CKA noch mit der Prüfung scheitert, bieten wir Ihnen die volle Rückerstattung und entwickeln wir immer weiter bessere Prüfungssoftware der Linux Foundation CKA.

Die CKA-Programmzertifizierungsprüfung besteht aus einer Reihe von auf Leistung basierenden Aufgaben, die Kandidaten innerhalb eines bestimmten Zeitrahmens abschließen müssen. Die Prüfung umfasst eine breite Palette von Themen, einschließlich Cluster-Architektur, Installation und Konfiguration, Networking, Speicherung, Fehlerbehebung und Sicherheit. Von den Kandidaten wird erwartet, dass sie ihre Fähigkeit zur Durchführung von Aufgaben wie der Bereitstellung von Anwendungen, Skalierung und Aktualisierung von Clustern, Konfiguration von Netzwerkrichtlinien, Fehlerbehebung von Knoten und Cluster-Problemen sowie der Sicherung von Kubernetes-Clustern zeigen.

>> CKA Probesfragen <<

CKA Mit Hilfe von uns können Sie bedeutendes Zertifikat der CKA einfach erhalten!

Seit Jahren gilt It-Pruefung als der beste Partner für die IT-Prüfungsteilnehmer. Sie bietet reichliche Ressourcen der Prüfungsunterlagen. Die Bestehensquote der Kunden, die Linux Foundation CKA Prüfungssoftware benutzt haben, erreicht eine Höhe von fast 100%. Diese befriedigte Feedbacks geben wir mehr Motivation, die zuverlässige Qualität von Linux Foundation CKA weiter zu versichern. Wir wünschen Ihnen, durch das Bestehen der Linux Foundation CKA das Gefühl des Erfolgs empfinden, weil es uns auch das Gefühl des Erfolges mitbringt.

Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam CKA Prüfungsfragen mit Lösungen (Q45-Q50):

45. Frage
How would you configure a PersistentVolumeClaim with a storage class for a specific type of storage, such as SSD or NVMe, and how would you specify the storage capacity?

Antwort:

Begründung:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Storage Class:
- Define a storage class that specifies the desired storage type (SSD or NVMe) and any other relevant parameters.

2. Define the PersistentVolumeClaim: - Create a PersistentVolumeClaim with the storage class you defined in the previous step. Specify the desired storage capacity using the 'resources.requests.storage' field.

3. Apply the Changes: - Apply the storage class and PersistentVolumeClaim using 'kubectl apply -f fast-storage.yaml' and 'kubectl apply -f my-pvc.yaml' - The storage class 'fast-storage' in this example specifies the use of AWS EBS volumes with the 'gp2' volume type (SSD) and encryption enabled. - The PersistentVolumeClaim is configured to use the 'fast-storage' class and requests IOGi of storage. This configuration ensures that the PVC provisioned for the pod uses the specified storage class (SSD in this case) and the requested storage capacity.

46. Frage
You have a Deployment named 'redis-deployment' running a Redis server. You need to configure Redis with a specific configuration file stored in a ConfigMap named 'redis-config'. The configuration file includes sensitive information like the Redis password. How do you ensure that the sensitive information remains secure while still being accessible to the Redis container?

Antwort:

Begründung:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create the ConfigMap:
- Create a ConfigMap named 'redis-config' containing the Redis configuration file (e.g., 'redis.conf). This configuration file might contain the password as a plain-text value.
- Use 'kubectl create configmap' with the '-from-file' flag:
kubectl create configmap redis-config --from-file=redis.conf
2. Use a Secret for Sensitive Data:
- Create a Secret named 'redis-password' to store the Redis password securely. Use 'kubectl create secret generic' with '--from-literal' kubectl create secret generic redis-password --from-literal=redis-password="your_redis_password"
3. Modify the ConfigMap:
- Modify the 'redis-config' ConfigMap by replacing the plain-text password in the 'redis.conf' with a placeholder or environment variable reference. This is done to prevent the password from being exposed in plain text within the ConfigMap. For example:
kubectl patch configmap redis-config -p '{"data": {"redis.conf': "requirepass ${REDIS PASSWORD}"}}'
4. Configure the Deployment:
- Modify the 'redis-deployment' Deployment to mount both the 'redis-config' ConfigMap and 'redis-password' Secret as volumes in the Pod template.
- Use 'volumeMountS to specify the mount paths and 'volumes' to define the volume sources:

5. Apply the Changes: - Apply the modified Deployment YAML using 'kubectl apply -f redis-deployment.yaml' 6. Verify the Configuration: - Verify that the Redis container is using the secure password from the Secret by accessing the Redis instance and attempting to authenticate.

47. Frage
You have a 'NodePort' service named 'my-service' exposed on port 30000. You need to configure a NetworkPolicy to only allow access to the service from specific nodes in the cluster based on their node labels.

Antwort:

Begründung:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a NetworkPolicy:
- Define a NetworkPolicy that allows traffic from nodes with specific labels to the service.

2. Apply the NetworkPolicy: - Apply the YAML file using 'kubectl apply -f networkpolicy.yaml'. 3. Verify the NetworkPolicy: - Check the status of the NetworkPolicy using 'kubectl get networkpolicies allow-specific-nodes -n . 4. Test: - Access the service using the 'NodePort' on a node with the specified label. You should be able to access the service. - Access the service using the 'NodePort' on a node that does not have the specified label. You should not be able to access the service. Note: - Replace with the actual namespace where your service is located. - Replace the CIDR values with the actual CIDRs of your nodes or the node labels that you want to use for filtering.,

48. Frage
You have a Deployment named 'web-app' with 3 replicas running a Flask application. You need to implement a rolling update strategy that ensures only one pod is unavailable at any time. Additionally, you need to implement a strategy to handle the update process when the pod's resource requests exceed the available resources.

Antwort:

Begründung:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAML:
- Update the 'replicas' to 2.
- Define 'maxUnavailable: 1' and 'maxSurge: 0' in the 'strategy.rollingUpdate' section to control the rolling update process.
- Configure a 'strategy.type" to 'RollingUpdate" to trigger a rolling update when the deployment is updated.
- Add a 'spec.template.spec.resources' section to define resource requests for the pod.
- Set 'spec.template.spec.restartPolicy' to 'OnFailure' for the pod to restart when it fails.

2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f web-app.yaml' 3. Verify the Deployment: - Check the status of the deployment using 'kubectl get deployments web-app' to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Update the 'web-app' image in the Docker Hub repository. 5. Monitor the Deployment: - Use 'kubectl get pods -l app=web-app' to monitor the pod updates during the rolling update process. You will observe that one pod is terminated at a time, while one new pod with the updated image is created. 6. Handle Resource Exceedance: - If the pod's resource requests exceed the available resources, the pod will be evicted and restarted. The 'restartPolicy' ensures that the pod restarts automatically upon failure. 7. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment web-app' to see that the 'updatedReplicas' field matches the 'replicas' field, indicating a successful update.

49. Frage
Create a persistent volume with name app-data, of capacity 2Gi and access mode ReadWriteMany. The type of volume is hostPath and its location is /srv/app-data.

Antwort:

Begründung:
Persistent Volume
A persistent volume is a piece of storage in a Kubernetes cluster. PersistentVolumes are a cluster-level resource like nodes, which don't belong to any namespace. It is provisioned by the administrator and has a particular file size. This way, a developer deploying their app on Kubernetes need not know the underlying infrastructure. When the developer needs a certain amount of persistent storage for their application, the system administrator configures the cluster so that they consume the PersistentVolume provisioned in an easy way.
Creating Persistent Volume
kind: PersistentVolume
apiVersion: v1
metadata:
name:app-data
spec:
capacity: # defines the capacity of PV we are creating
storage: 2Gi #the amount of storage we are tying to claim
accessModes: # defines the rights of the volume we are creating
- ReadWriteMany
hostPath:
path: "/srv/app-data" # path to which we are creating the volume
Challenge
* Create a Persistent Volume named app-data, with access mode ReadWriteMany, storage classname shared, 2Gi of storage capacity and the host path /srv/app-data.

2. Save the file and create the persistent volume.
Image for post

3. View the persistent volume.

* Our persistent volume status is available meaning it is available and it has not been mounted yet. This status will change when we mount the persistentVolume to a persistentVolumeClaim.
PersistentVolumeClaim
In a real ecosystem, a system admin will create the PersistentVolume then a developer will create a PersistentVolumeClaim which will be referenced in a pod. A PersistentVolumeClaim is created by specifying the minimum size and the access mode they require from the persistentVolume.
Challenge
* Create a Persistent Volume Claim that requests the Persistent Volume we had created above. The claim should request 2Gi. Ensure that the Persistent Volume Claim has the same storageClassName as the persistentVolume you had previously created.
kind: PersistentVolume
apiVersion: v1
metadata:
name:app-data
spec:
accessModes:
- ReadWriteMany
resources:
requests:
storage: 2Gi
storageClassName: shared
2. Save and create the pvc
njerry191@cloudshell:~ (extreme-clone-2654111)$ kubect1 create -f app-data.yaml persistentvolumeclaim/app-data created
3. View the pvc
Image for post

4. Let's see what has changed in the pv we had initially created.
Image for post

Our status has now changed from available to bound.
5. Create a new pod named myapp with image nginx that will be used to Mount the Persistent Volume Claim with the path /var/app/config.
Mounting a Claim
apiVersion: v1
kind: Pod
metadata:
creationTimestamp: null
name: app-data
spec:
volumes:
- name:congigpvc
persistenVolumeClaim:
claimName: app-data
containers:
- image: nginx
name: app
volumeMounts:
- mountPath: "/srv/app-data "
name: configpvc

50. Frage
......

Das Linux Foundation CKA Zertifikat kann nicht nur Ihre Fähigkeiten, sondern auch Ihre Fachkenntnisse und Erfahrungen beweisen. Der Boss hat Sie doch nicht umsonst eingestellt. Zur Zeit braucht IT-Branche eine zuverlässige Ressourcen zur Linux Foundation CKA Zertifizierungsprüfung. It-Pruefung ist eine gute Wahl. Sie können die Linux Foundation CKA Prüfung in kurzer Zeit bestehen, ohne viel Zeit und Energie zu verwenden, und eine glänzende Zukunft haben.

CKA Lernressourcen: https://www.it-pruefung.com/CKA.html