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The second format is a web-based practice exam which offers a flexible and accessible option for students trying to assess and improve their preparation for the Linux Foundation Certification Exams. The CKAD web-based practice test can be accessed online through browsers like Firefox, Microsoft Edge, Google Chrome, and Safari. Customers need a stable internet connection in order to access web-based formats easily without facing issues.
Linux Foundation Certified Kubernetes Application Developer (CKAD) exam is a certification for developers who want to demonstrate their expertise in designing, building, and deploying applications for Kubernetes. CKAD Exam is designed to test a developer's ability to use Kubernetes and related tools to create and manage containerized applications. Linux Foundation Certified Kubernetes Application Developer Exam certification is recognized globally and is highly valued by organizations that are looking to hire developers with Kubernetes skills.
Linux Foundation Certified Kubernetes Application Developer (CKAD) certification is a program that validates the skills of an individual in designing, building, configuring, and exposing cloud-native applications on Kubernetes. Kubernetes is an open-source container orchestration system that automates the deployment, scaling, and management of containerized applications.
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NEW QUESTION # 34
Refer to Exhibit.
Set Configuration Context:
[student@node-1] $ | kubectl
Config use-context k8s
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
Answer:
Explanation:
Solution:
To update the nginxsvc service to serve on port 5050, you will need to edit the service's definition yaml file. You can use the kubectl edit command to edit the service in place.
kubectl edit svc nginxsvc
This will open the service definition yaml file in your default editor. Change the targetPort of the service to 5050 and save the file.
To add an HAproxy container named haproxy bound to port 90 to the poller pod, you will need to edit the pod's definition yaml file located at /opt/KDMC00101/poller.yaml.
You can add a new container to the pod's definition yaml file, with the following configuration:
containers:
- name: haproxy
image: haproxy
ports:
- containerPort: 90
volumeMounts:
- name: haproxy-config
mountPath: /usr/local/etc/haproxy/haproxy.cfg
subPath: haproxy.cfg
args: ["haproxy", "-f", "/usr/local/etc/haproxy/haproxy.cfg"]
This will add the HAproxy container to the pod and configure it to listen on port 90. It will also mount the ConfigMap haproxy-config to the container, so that haproxy.cfg is available at /usr/local/etc/haproxy/haproxy.cfg.
To inject the configuration located at /opt/KDMC00101/haproxy.cfg to the container, you will need to create a ConfigMap using the following command:
kubectl create configmap haproxy-config --from-file=/opt/KDMC00101/haproxy.cfg You will also need to update the args of the poller container so that it connects to localhost instead of nginxsvc. You can do this by editing the pod's definition yaml file and changing the args field to args: ["poller","--host=localhost"].
Once you have made these changes, you can deploy the updated pod to the cluster by running the following command:
kubectl apply -f /opt/KDMC00101/poller.yaml
This will deploy the enhanced pod with the HAproxy container to the cluster. The HAproxy container will listen on port 90 and proxy connections to the nginxsvc service on port 5050. The poller container will connect to localhost instead of nginxsvc, so that the connection is correctly proxied to the new service endpoint.
Please note that, this is a basic example and you may need to tweak the haproxy.cfg file and the args based on your use case.
NEW QUESTION # 35
You are running a critical application in Kubernetes tnat requires nign availability and IOW latency. The application uses a statefulset With 3 replicas, each consuming a large amount of memory. You need to define resource requests and limits for the pods to ensure that the application operates smoothly and doesn't get evicted due to resource constraints.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Determine Resource Requirements:
- Analyze tne application's memory usage. Determine tne average memory consumption per pod and the peak memory usage.
- Consider the resources available on your Kubernetes nodes.
- Define realistic requests and limits based on the application's needs and available node resources.
2. Define Resource Requests and Limits in the StatefuISet:
- Update the StatefuISet YAML configuration with resource requests and limits for the container.
- requests: Specifies the minimum amount of resources the pod will request
- limits: Specifies the maximum amount of resources the pod can use.
3. Apply the StatefulSet Configuration: - Apply the updated StatefulSet configuration to your Kubernetes cluster: bash kubectl apply -f my-critical-app-statefulset.yaml 4. Monitor Resource Usage: - Use 'kubectl describe pod' to monitor the resource usage of the pods. - Ensure that the pods are utilizing the requested resources and not exceeding the limits.
NEW QUESTION # 36 
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:
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NEW QUESTION # 37
Task:
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.
Answer:
Explanation:
See the solution below.
Explanation
Solution:
Text Description automatically generated with medium confidence
Text Description automatically generated
Text Description automatically generated
NEW QUESTION # 38
You have a Deployment named 'wordpress-deployment' that runs 3 replicas of a WordPress container. You want to ensure that the deployment is always updated with the latest image available in the 'wordpress/wordpress:latest' Docker Hub repository However, you need to implement a rolling update strategy that allows for a maximum ot two pods to be unavailable during the update process.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. IJpdate the Deployment YAML:
- Update the 'replicas to 3-
- Define 'maxunavailable: 2 and 'maxSurge: in the 'strategy.rollingupdate' section.
- Configure a 'strategy-type' to 'RollinglJpdate' to trigger a rolling update when the deployment is updated.
- Add a 'spec-template-spec-imagePullPolicy: Always' to ensure that the new image is pulled even if it exists in the pod's local cache.
2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f wordpress-deployment.yamr 3. Verify the Deployment: - Check tne status of the deployment using 'kubectl get deployments wordpress-deployment' to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Push a new image to the 'wordpress/wordpress:latest Docker Hub repository. 5. Monitor the Deployment: - Use 'kubectl get pods -I app=wordpress' to monitor the pod updates during the rolling update process. You will observe that two pods are terminated at a time, while two new pods with the updated image are created. 6. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment wordpress-deployment' to see that the 'updatedReplicaS field matches the 'replicas' field, indicating a successful update.
NEW QUESTION # 39
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