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Realistic CKAD Valid Dumps Ppt | Easy To Study and Pass Exam at first attempt & Authoritative Linux Foundation Linux Foundation Certified Kubernetes Application Developer Exam

Realistic CKAD Valid Dumps Ppt | Easy To Study and Pass Exam at first attempt & Authoritative Linux Foundation Linux Foundation Certified Kubernetes Application Developer Exam

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Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q22-Q27):

NEW QUESTION # 22
You are deploying a resource-intensive application that requires a large amount of memory and CPU. How would you create a ResourceQuota to limit the resources consumed by this application and prevent it from impacting other workloads in the cluster?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Define the ResourceQuota:
- Create a ResourceQuota object named resource-limit' in the namespace where the application is deployed.
- Set the resource limits for the application by specifying the maximum allowed requests for CPU and memory.
- You can also set limits for other resources, such as pods and services.

2. Apply the ResourceQuota: - Apply the ResourceQuota configuration using 'kubectl apply -f resource-limit.yaml' 3. Test the Resource Limits. - Try to create or scale the resource-intensive application beyond the defined limits. - You should receive an error indicating that the ResourceQuota has been exceeded.


NEW QUESTION # 23

Context
You sometimes need to observe a pod's logs, and write those logs to a file for further analysis.
Task
Please complete the following;
* Deploy the counter pod to the cluster using the provided YAMLspec file at /opt/KDOB00201/counter.yaml
* Retrieve all currently available application logs from the running pod and store them in the file
/opt/KDOB0020l/log_Output.txt, which has already been created

Answer:

Explanation:
See the solution below.
Explanation
Solution:



NEW QUESTION # 24
You have a Deployment named 'my-app' that runs 3 replicas of a Python application. You need to implement a bluetgreen deployment strategy where only a portion of the traffic is directed to the new version of the application initially. After successful validation, you want to gradually shift traffic to the new version until all traffic is directed to it. You'll use a new image tagged for the new version.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a new Deployment for the new version:
- Create a new Deployment file called 'my-app-v2.yaml'
- Define the 'replicas' to be the same as the original Deployment.
- Set the 'image' to 'my-app:v2'
- Ensure the 'metadata-name' is different from the original deployment.
- Use the same 'selector.matchLabelS as the original Deployment.
- Create the Deployment using 'kubectl apply -f my-app-v2.yaml'.

2. Create a Service for tne new Deployment: - Create a new Service file called 'my-app-v2-service.yaml'. - Define the 'selector' to match the labels of the 'my-app-v2 Deployment. - Set the 'type' to 'LoadBalancer' or 'NodePort' (depending on your environment) to expose the service. - Create the Service using 'kubectl apply -f my-app-v2-service.yaml"

3. Create an Ingress (or Route) for traffic routing: - Create an Ingress (or Route) file called 'my-app-ingress.yaml' - Define the 'host' to match your domain or subdomain. - Use a 'rules' section with two 'http' rules: one for the original Deployment C my-app-service' in this example) and one tor the new Deployment my- app-v2-service' in this example). - Define a 'path' for each rule to define the traffic routing. For example, you could route 'r to 'my-app-service' and ','v2 to 'my-app-v2-services - Create the Ingress (or Route) using 'kubectl apply -f my-app-ingress.yaml'

4. Test the new version: - Access the my-app.example.com/v2 endpoint to test the new version of your application. - Validate the functionality of the new version. 5. Gradually shift traffic: - You can adjust the 'path' rules in the Ingress (or Route) to gradually shift traffic to the new version. For example, you could define a 'path' like S/v2/beta' and then later change it to '/v2 - Alternatively, you can use a LoadBalancer controller like Kubernetes Ingress Controller (Nginx or Traefik) to configure traffic splitting using weights or headers. 6. Validate the transition: - Continue monitoring traffic and application health during the gradual shift. - Ensure a smooth transition to the new version without impacting users. 7. Delete the old Deployment and Service: - Once all traffic is shifted to the new version and you are confident in its performance, delete the old Deployment and Service C kubectl delete deployment my-app' and 'kubectl delete service my-app-service') to complete the blue/green deployment process. Note: This is a simplified example. In a real production environment, you would likely need to implement additional steps for: - Health checks: Ensure the new version is healthy before shifting traffic. - Rollback: Implement a rollback mechanism to quickly revert to the previous version if needed. - Configuration management: Store and manage configuration settings consistently across deployments. - Monitoring and logging: Monitor the new version for performance and health issues. ,


NEW QUESTION # 25
You have a Kubernetes application that uses a custom resource definition (CRD) to manage its configuration. The application logs are written to a dedicated container log file. You want to use Kustomize to automate the process of fetching and displaying these logs. How can you achieve this using Kustomize and a custom resource?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the Custom Resource:
- Create a custom resource definition (CRD) that defines the structure of


NEW QUESTION # 26
You have a Deployment running a microservice that is responsible for processing user data To ensure the security of this data, you need to implement a NetworkPolicy that restricts network traffic to and from the microservice's pods.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a NetworkP01icy:
- Create a NetworkPolicy YAML file to define the traffic rules:

2. Apply the NetworkPolicy: - Apply tne NetworkPoliCY configuration to your Kubernetes cluster: basn kubectl apply -f restrict-microservice-traffic_yaml 3. Test the NetworkPoIicy: - Create a pod in a different namespace or on a different node. - Attempt to connect to the microservice pod from the new pod. - Verity that the connection is blocked as per the defined NetworkPolicy rules.


NEW QUESTION # 27
......

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