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[General] The latest Linux Foundation CKAD Exam free download

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【General】 The latest Linux Foundation CKAD Exam free download

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CKAD certification is designed for software developers who have experience in container-based application development and want to validate their skills in Kubernetes application development. Additionally, system administrators, DevOps engineers, and IT professionals who work with Kubernetes can also take the certification to enhance their skills and knowledge.
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Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q55-Q60):NEW QUESTION # 55
You have a Deployment that runs a web application. The application requires a specific version ot a library that is not available in the default container image. How would you use an Init Container to install this library before starting the main application container?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create an Init Container:
- Add an 'initContainerS section to the Deployment's 'spec-template-spec' configuration.
- Define an Init Container with a suitable name (e.g., 'library-installer').
- Specify the image for the Init Container This image should contain the necessary tools and commands to install the required library.
- Replace 'your-library-installer-image:latest with the actual image you want to use.

2. Configure the Main Container: - In the main application container, ensure that the environment variable 'PATH' includes the installation directory of the library installed by the Init Container. - This allows the application to find and use the newly installed library. 3. Apply the Changes: - Apply the updated Deployment configuration using 'kubectl apply -t my-web-app-deployment.yamr. 4. Verify the Installation: - Once the Pods are deployed, you can check the logs of the main application container to confirm that the library is installed and available for use.

NEW QUESTION # 56
Context
Anytime a team needs to run a container on Kubernetes they will need to define a pod within which to run the container.
Task
Please complete the following:
* Create a YAML formatted pod manifest
/opt/KDPD00101/podl.yml to create a pod named app1 that runs a container named app1cont using image Ifccncf/arg-output
with these command line arguments: -lines 56 -F
* Create the pod with the kubect1 command using the YAML file created in the previous step
* When the pod is running display summary data about the pod in JSON format using the kubect1 command and redirect the output to a file named /opt/KDPD00101/out1.json
* All of the files you need to work with have been created, empty, for your convenience

  • A. Solution:




  • B. Solution:






Answer: B

NEW QUESTION # 57
Refer to Exhibit.

Task:
Create a Deployment named expose in the existing ckad00014 namespace running 6 replicas of a Pod.
Specify a single container using the ifccncf/nginx: 1.13.7 image Add an environment variable named NGINX_PORT with the value 8001 to the container then expose port 8001
Answer:
Explanation:
Solution:




NEW QUESTION # 58
You have a Kubernetes deployment tnat uses a ConfigMap to provide configuration settings to your application. You need to update tne ConfigMap with new settings without restarting the deployment.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the ConfigMap:
- Create or update your ConfigMap YAML file, for example, Sapp-config.yaml':

- Replace and 'debug' with the desired new values. 2. Apply the Updated ConfigMap: - Apply the updated ConfigMap using: bash kubectl apply -f app-config.yaml 3. Verify the Update: - Check the updated ConfigMap using: bash kubectl get configmap app-config -o yaml - Confirm that the new settings are reflected in the ConfigMap. 4. (Optional) Monitor Application Logs: - If your application is logging configuration values, you can check the logs to ensure it's now using the updated settings.

NEW QUESTION # 59

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
Answer:
Explanation:
See the solution below.
Explanation
Solution:






NEW QUESTION # 60
......
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