P.S. Kostenlose 2026 Linux Foundation CKAD Prüfungsfragen sind auf Google Drive freigegeben von DeutschPrüfung verfügbar: https://drive.google.com/open?id=1MD5N_BoLhsR9GVF-2i3mevVeT-30OTIO
Wenn Sie Dumps zur Linux Foundation CKAD Zertifizierungsprüfung von DeutschPrüfung kaufen, versprechen wir Ihnen, dass Sie 100% die Linux Foundation CKAD Zertifizierungsprüfung bestehen können. Sonst zahlen wir Ihnen die gesammte Summe zurück.
| Section | Weight | Objectives |
|---|---|---|
| Application Deployment | 20% | - Understand Deployments and how to perform rolling updates - Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary) - Use the Helm package manager to deploy existing packages - Kustomize |
| Services and Networking | 20% | - Provide and troubleshoot access to applications via services - Use Ingress rules to expose applications - Demonstrate basic understanding of NetworkPolicies |
| Application Observability and Maintenance | 15% | - Understand API deprecation policies - Implement probes and health checks - Debugging in Kubernetes - Use built-in CLI tools to monitor Kubernetes applications - Utilize container logs |
| Application Environment, Configuration and Security | 25% | - Discover and use resources that extend Kubernetes (CRD, Operators) - ServiceAccounts - Understand authentication, authorization and admission control - SecurityContexts - ConfigMaps and Secrets - Understanding and defining resource requirements, limits and quotas |
| Application Design and Build | 20% | - Define, build and modify container images - Understand multi-container Pod design patterns (e.g., sidecar, init and others) - Utilize persistent and ephemeral volumes - Choose and use the right workload resource (Deployment, DaemonSet, CronJob, etc.) |
Wir DeutschPrüfung bieten alle mögliche Vorbereitungsunterlagen von Linux Foundation CKAD Zertifizierungsprüfung. Sie können die Linux Foundation CKAD Prüfungsunterlagen in verschiedenen Webseiten und Büchern finden. Aber unsere Prüfungsfragen und Testantworten sind die besten und die umfassendsten. Unsere Linux Foundation CKAD Prüfungsfragen und-antworten können Ihnen helfen, nur einmal diese Prüfung zu bestehen. Und Sie können weniger Zeit verwenden.
13. Frage
You are building a new web application that utilizes a microservice architecture- One of the microservices, 'recommendation-service', is responsible for providing personalized product recommendations to users.
This service uses a machine learning model for generating recommendations based on user purchase history and browsing behavior. The model is trained offline and its weights are stored in a 'model-store' service.
Design a mufti-container Pod for the 'recommendation-service' that incorporates the following considerations:
- The Pod should include a primary container for the 'recommendation-service' application.
- The Pod should include a secondary container that runs the 'model-store' service to provide access to the trained model weights.
- Both containers should share a common volume to ensure that the model weights are available to the 'recommendation-service' container-
- The recommendation-service' snould be able to access the model weignts from the 'model-store' container witnout relying on a network call to another service-
- The recommendation-service' container should be configured to periodically update the model weights from the 'model-store' container when a new version of the model is available.
Antwort:
Begründung:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create the Deployment YAML:
- Define a Deployment with the name 'recommendation-service'
- Set the replicas to for redundancy and scalability.
- Specify the labels Sapp: recommendation-service' for selecting the Pods in the Deployment.
- Create a 'template' section to define the Pod specificatiom
2. Deploy the Resources: - Apply the Deployment using 'kubectl apply -f deployment-yamp 3. Verify the Deployment: - Check the status of the Deployment using 'kubectl get deployments recommendation-service and ensure that three Pods are running. 4. Contigure the 'recommendation-service' - Modify the 'recommendation-service application to load the model weights from the specified path ClmodeVIatest-modeI_weightS). - Implement a mechanism within the 'recommendation-service to periodically check tor updated model weights in the shared volume. 5. Configure the 'model-store service: - Ensure that the model-store service is properly configured to store and retrieve the model weights. - Implement a mechanism in the 'model-store' service to notify the 'recommendation-service when a new model version is available. This notification can be achieved using a shared volume or a separate messaging system. 6. Test the Application: - Send requests to the 'recommendation-service' to generate recommendations. - Monitor the 'model-store' service and the shared volume to verify that the model weights are being updated correctly and the recommendation- service' is using the latest model version. Important Considerations: - Ensure that the 'recommendation-service' application is properly configured to access and load the model weights from the shared volume. - Implement a robust model management strategy, including versioning and rollback mechanisms, to ensure that the recommendation-service always uses the appropriate model. - Consider using a dedicated model store service that provides a dedicated API for retrieving and updating model weights. This can simplify the communication between the 'recommendation-service' and the model store. - Monitor the performance and resource usage of both services to ensure optimal performance.,
14. Frage
Context
Context
A container within the poller pod is hard-coded to connect the nginxsvc service on port 90 . As this port changes to 5050 an additional container needs to be added to the poller pod which adapts the container to connect to this new port. This should be realized as an ambassador container within the pod.
Task
* Update the nginxsvc service to serve on port 5050.
* Add an HAproxy container named haproxy bound to port 90 to the poller pod and deploy the enhanced pod. Use the image haproxy and inject the configuration located at /opt/KDMC00101/haproxy.cfg, with a ConfigMap named haproxy-config, mounted into the container so that haproxy.cfg is available at /usr/local/etc/haproxy/haproxy.cfg. Ensure that you update the args of the poller container to connect to localhost instead of nginxsvc so that the connection is correctly proxied to the new service endpoint. You must not modify the port of the endpoint in poller's args . The spec file used to create the initial poller pod is available in /opt/KDMC00101/poller.yaml
Antwort:
Begründung:
Solution:
apiVersion: apps/v1
kind: Deployment
metadata:
name: my-nginx
spec:
selector:
matchLabels:
run: my-nginx
replicas: 2
template:
metadata:
labels:
run: my-nginx
spec:
containers:
- name: my-nginx
image: nginx
ports:
- containerPort: 90
This makes it accessible from any node in your cluster. Check the nodes the Pod is running on:
kubectl apply -f ./run-my-nginx.yaml
kubectl get pods -l run=my-nginx -o wide
NAME READY STATUS RESTARTS AGE IP NODE
my-nginx-3800858182-jr4a2 1/1 Running 0 13s 10.244.3.4 kubernetes-minion-905m my-nginx-3800858182-kna2y 1/1 Running 0 13s 10.244.2.5 kubernetes-minion-ljyd Check your pods' IPs:
kubectl get pods -l run=my-nginx -o yaml | grep podIP
podIP: 10.244.3.4
podIP: 10.244.2.5
15. Frage 
Task
You are required to create a pod that requests a certain amount of CPU and memory, so it gets scheduled to-a node that has those resources available.
* Create a pod named nginx-resources in the pod-resources namespace that requests a minimum of 200m CPU and 1Gi memory for its container
* The pod should use the nginx image
* The pod-resources namespace has already been created
Antwort:
Begründung:
See the solution below.
Explanation
Solution:
16. Frage 
Task:
1- Update the Propertunel scaling configuration of the Deployment web1 in the ckad00015 namespace setting maxSurge to 2 and maxUnavailable to 59
2- Update the web1 Deployment to use version tag 1.13.7 for the Ifconf/nginx container image.
3- Perform a rollback of the web1 Deployment to its previous version
Antwort:
Begründung:
See the solution below.
Explanation
Solution:
Text Description automatically generated
17. Frage 
Context
A project that you are working on has a requirement for persistent data to be available.
Task
To facilitate this, perform the following tasks:
* Create a file on node sk8s-node-0 at /opt/KDSP00101/data/index.html with the content Acct=Finance
* Create a PersistentVolume named task-pv-volume using hostPath and allocate 1Gi to it, specifying that the volume is at /opt/KDSP00101/data on the cluster's node. The configuration should specify the access mode of ReadWriteOnce . It should define the StorageClass name exam for the PersistentVolume , which will be used to bind PersistentVolumeClaim requests to this PersistenetVolume.
* Create a PefsissentVolumeClaim named task-pv-claim that requests a volume of at least 100Mi and specifies an access mode of ReadWriteOnce
* Create a pod that uses the PersistentVolmeClaim as a volume with a label app: my-storage-app mounting the resulting volume to a mountPath /usr/share/nginx/html inside the pod
Antwort:
Begründung:
See the solution below.
Explanation
Solution:
18. Frage
......
Haben sie von Linux Foundation CKAD Dumps von DeutschPrüfung gehört? Aber, Haben Sie diese Dumps benutzt? Viele Leute haben gesagt, dass DeutschPrüfung Dumps sehr gute Unterlagen sind, womit sie die Linux Foundation CKAD Zertifizierungsprüfung bestanden haben. Wir DeutschPrüfung sind von vielen Leuten, die früher die Linux Foundation CKAD Dumps benutzt haben, gut bewertet, weil sie wirklich viel Zeit für die Linux Foundation CKAD Prüfungen sparen und den Erfolg für die Teilnehmer garantieren.
CKAD Fragen Antworten: https://www.deutschpruefung.com/CKAD-deutsch-pruefungsfragen.html
Außerdem sind jetzt einige Teile dieser DeutschPrüfung CKAD Prüfungsfragen kostenlos erhältlich: https://drive.google.com/open?id=1MD5N_BoLhsR9GVF-2i3mevVeT-30OTIO