FREE PDF QUIZ 2025 FANTASTIC LINUX FOUNDATION CKAD: LATEST LINUX FOUNDATION CERTIFIED KUBERNETES APPLICATION DEVELOPER EXAM BRAINDUMPS

Free PDF Quiz 2025 Fantastic Linux Foundation CKAD: Latest Linux Foundation Certified Kubernetes Application Developer Exam Braindumps

Free PDF Quiz 2025 Fantastic Linux Foundation CKAD: Latest Linux Foundation Certified Kubernetes Application Developer Exam Braindumps

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The CKAD Exam Tests the candidate's ability to design, build, configure, and expose cloud-native applications for Kubernetes. CKAD exam is conducted in a hands-on, performance-based format, where candidates are required to solve real-world problems using Kubernetes. CKAD exam tests the candidate's proficiency in various tasks, such as deploying applications, configuring storage, networking, security, and troubleshooting.

Linux Foundation CKAD Exam Syllabus Topics:

TopicDetails
Topic 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.
Topic 2
  • 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.
Topic 3
  • Application Deployment: It gives you information on implementing common deployment strategies, understanding deployments and rolling updates, and using Helm to deploy existing packages.
Topic 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.
Topic 5
  • 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.

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How does Kubernetes work?

Kubernetes is an open-source software application designed for managing containers, also called containers. Devices can be co-located or on separate physical or virtual machines. In a single cluster, the Kubernetes master schedules containers on the worker nodes. Container software will let you package your application with all of its dependencies into a single image that can run on any Linux server. Introduced in May 2014, Kubernetes was designed and built at Google, and it has been fully open-sourced. The idea behind containers is that you can take an application and wrap it into a complete environment and ship it and run it on any other machine. Ingress ports are TCP ports 80, 443, and 53. Exchange services are for communication between services. Exchange sub-services are sub-services that are accessed by proxies. CNCF CKAD Dumps is perfect for you if you are working on Kubernetes in any capacity, be it in the development team, or in the support team. Respective ports are distributed amongst the nodes by Kubernetes and load balanced.

You can use Kubernetes to create container clusters and manage your applications. Exponentially scalable. Customer logs in to a web portal and they're shown a dashboard of their containers. Special scales and distribution of traffic and load are managed by Kubernetes. Valid connections are rejected by the ingress controller. Authentic Traffic is sent via a network tunnel to a proxy container, which passes the traffic on to the appropriate service. Hired by, or open-source. Open source for the core Kubernetes features and tool chain. Yields a Kubernetes cluster. You can imagine a Kubernetes cluster as a collection of nodes. Downloads the configuration.

Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q100-Q105):

NEW QUESTION # 100
You have a Deployment named 'wordpress-deployment' that runs a WordPress application. You want to ensure that Kubernetes automatically restarts pods if tney experience an unexpected termination, such as a container crasn. Implement the necessary configuration for your deployment.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Update the Deployment YAML:
- Add the 'restartpolicy: Always to the 'spec.template_spec.containers' section of your Deployment YAML. This ensures that the pod will always be restarted if a container terminates unexpectedly.

2. Apply the Deployment - Apply the updated Deployment YAML using: bash kubectl apply -f wordpress-deployment-yaml 3. Test the Restart Policy: - Simulate a container crash within a pod (e.g., by sending a SIGKILL Signal to the container). - Observe the pod status using 'kuactl get pods -l app=wordpress' . You snould see the pod being automatically restarted, and the 'STATUS should become 'Running' again. Important Note: - The restaAPolicy: Always' is the default setting for Kubernetes deployments. By explicitly adding it to your YAML, you ensure that this behavior is documented and consistent within your deployment configuration.,


NEW QUESTION # 101
You are building a Kubernetes application tnat requires persistent storage for its dat a. The application needs to be able to access the data even if the pod is restarted or deleted. You have a PersistentVolumeClaim (PVC) defined for this purpose.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a PersistentVolume (PV):
- Define a PV with a suitable storage class, access modes (ReadWriteOnce), and a capacity that meets your application's storage requirements.
- Example:

2. Create a PersistentVolumeClaim (PVC): - Define a PVC with the desired storage class and access modes. - Specify the desired storage capacity. - Example:

3. Create a Deployment With the PVC: - In the Deployment YAML, define a volume mount that uses the PVC you created_ - Specify the volume mount path within the container. - Example:

4. Create the Deployment: - Apply the Deployment YAML using 'kubectl apply -f my-app-deployment.yamr 5. Verify the Deployment - Check the status of the Deployment using 'kubectl get deployments my-app' - Verify that the Pod is running and using the PersistentVolumeClaim. - You can also check the pod's logs for confirmation that the data is stored in the mounted volume.


NEW QUESTION # 102

Task:
A pod within the Deployment named buffale-deployment and in namespace gorilla is logging errors.
1) Look at the logs identify errors messages.
Find errors, including User "system:serviceaccount:gorilla:default" cannot list resource "deployment" [...] in the namespace "gorilla"
2) Update the Deployment buffalo-deployment to resolve the errors in the logs of the Pod.
The buffalo-deployment 'S manifest can be found at -/prompt/escargot/buffalo-deployment.yaml See the solution below.

Answer:

Explanation:
Explanation
Solution:
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NEW QUESTION # 103
You have a Kubernetes deployment named 'myapp-deployment' that runs a container with a 'requirements.txt' file that lists all the dependencies. How can you use ConfigMaps to manage these dependencies and dynamically update the container with new dependencies without rebuilding tne image?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a ConfigMap named 'myapp-requirements':

2 Apply the ConfigMap: basn kubectl apply -f myapp-requirements_yaml 3. Update the 'myapp-deployment' Deployment to use the ConfigMap:

4. Apply the updated Deployment: bash kubectl apply -f myapp-deployment.yaml 5. Test the automatic update: - Modify the 'myapp-requirements' ContigMap: bash kubectl edit configmap myapp-requirements Add or remove dependencies from the 'requirements.txt' file in the ConfigMap. - Verity the changes in the pod- bash kubectl exec -it bash -c 'pip freeze' Replace with the name of the pod. The output will show the installed dependencies. This solution enables you to manage dependencies dynamically without rebuilding the container image. Whenever you make changes to the 'myapp- requirements' ConfigMap, the deployment will automatically pull the updated dependencies and install them Within the container.


NEW QUESTION # 104
Refer to Exhibit.

Set Configuration Context:
[student@node-1] $ | kubectl
Config use-context k8s
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:
Solution:
To have Kubernetes automatically restart a pod when an endpoint returns an HTTP 500 on the /healthz endpoint, you will need to configure liveness and readiness probes on the pod.
First, you will need to create a livenessProbe and a readinessProbe in the pod's definition yaml file. The livenessProbe will check the /healthz endpoint, and if it returns an HTTP 500, the pod will be restarted. The readinessProbe will check the /started endpoint, and if it returns an HTTP 500, the pod will not receive traffic.
Here's an example of how you can configure the liveness and readiness probes in the pod definition yaml file:
apiVersion: v1
kind: Pod
metadata:
name: probe-pod
spec:
containers:
- name: probe-pod
image: <image-name>
ports:
- containerPort: 8080
livenessProbe:
httpGet:
path: /healthz
port: 8080
initialDelaySeconds: 15
periodSeconds: 10
failureThreshold: 3
readinessProbe:
httpGet:
path: /started
port: 8080
initialDelaySeconds: 15
periodSeconds: 10
failureThreshold: 3
The httpGet specifies the endpoint to check and the port to use. The initialDelaySeconds is the amount of time the pod will wait before starting the probe. periodSeconds is the amount of time between each probe check, and the failureThreshold is the number of failed probes before the pod is considered unresponsive.
You can use kubectl to create the pod by running the following command:
kubectl apply -f <filename>.yaml
Once the pod is created, Kubernetes will start monitoring it using the configured liveness and readiness probes. If the /healthz endpoint returns an HTTP 500, the pod will be restarted. If the /started endpoint returns an HTTP 500, the pod will not receive traffic.
Please note that if the failure threshold is set to 3, it means that if the probe fails 3 times consecutively it will be considered as a failure.
The above configuration assumes that the application is running on port 8080 and the endpoints are available on the same port.


NEW QUESTION # 105
......

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