A Fully Updated 2026 CKAD Exam Dumps – PDF Questions and Testing Engine [Q58-Q73]

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A Fully Updated 2026 CKAD Exam Dumps – PDF Questions and Testing Engine

Easy Success Linux Foundation CKAD Exam in First Try

Linux Foundation CKAD Exam Syllabus Topics:

Section	Objectives
Application Deployment	– Understand rolling updates and rollbacks – Use Kubernetes primitives to implement deployments
State Persistence	– PersistentVolumes and PersistentVolumeClaims – Storage classes and volume mounting
Application Environment, Configuration and Security	– Security contexts and service accounts – ConfigMaps and Secrets usage
Application Observability and Maintenance	– Monitor and troubleshoot applications – Understand probes and health checks
Services and Networking	– Services (ClusterIP, NodePort) – Ingress basics – Pod networking concepts
Application Design and Build	– Understand multi-container Pod design patterns – Understand Jobs and CronJobs – Define, build and modify container images

Q58. You are tasked With deploying a new web application on Kubernetes. The application is designed to be highly available and requires persistent storage for user dat a. The application needs to be able to handle incoming requests even during rolling updates. How would you design the deployment using StatetulSets, ensuring that the application remains available and data is preserved even when updating the deployment?

See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Create a PersistentVoIumeCIaim:
– Define a PersistentVoIumeCIaim (PVC) to request the necessary storage space for the application’s data. This ensures persistent storage is provisioned for each pod.

2. Define a StatefulSet: – Create a StatefulSet that defines the deployment configuration. Ensure that the following configurations are included: – ‘serviceName’: Define a service name for the StatefulSet. – ‘replicas’: Define tne number of replicas (pods) required for the application. – ‘volumeClaimTemplates’: Include the previously defined PVC to ensure each pod is assigned persistent storage. – ‘template-spec-containers. volumeMounts’: Mount the volume from the PVC at the desired location within the container. – ‘podManagementP01icy: Parallels: Configure the podManagementP01icy to allow parallel pod updates during rolling updates, maintaining application availability.

3. Create the Service. – Create a service that exposes the application to the outside world Use the ‘ClusterlP’ service type for internal access within the Kubernetes cluster.

4. Apply the Configuration: – Apply the StatefulSet, PVC, and service configurations using ‘kubectl apply -f’ to deploy the application on Kubernetes. 5. Verify the Deployment: – Use ‘kubectl get statefulsets webapp-statefulset and ‘kubectl get pods -I app=webapp’ to verify that the StatefuISet has been deployed successfully and the pods are running with the correct configurations. 6. Test Rolling Updates: – Push a new image to the ‘example/webapp:latest Docker Hub repository. The StatetulSet will automatically initiate a rolling update. Monitor the pods using ‘kubectl get pods -l app=webapp’ to observe the update process. You should see that pods are updated one at a time, ensuring that the application remains available throughout the update. Important Notes: – StatetulSets are ideal for applications that require persistent storage, unique identifiers, and ordered deployments, making them suitable for highly available web applications. – The ‘podManagementPolicy: Parallel’ setting ensures that the application remains available even when pods are updated. – Always define a ‘partition’ in the ‘rollinglJPdate’ strategy to ensure that all pods are part of the update. – Consider using liveness probes and readiness probes Within your application containers for health checks to ensure the application is healthy during the rolling update process. – For external access, you can use a LoadBalancer service type in the service definition.,

Q59. You must connect to the correct host . Failure to do so may result in a zero score.
[candidate@base] $ ssh ckad00032
The Pod for the Deployment named nosql in the haddock namespace fails to start because its Container runs out of resources.
Update the nosql Deployment so that the Container :
* requests 128Mi of memory
* limits the memory to half the maximum memory constraint set for the haddock namespace See the Explanation below for complete solution.

Q60. You have a Deployment named ‘wordpress-deployment’ that runs 3 replicas of a WordPress container. You want to implement a blue- green deployment strategy for this deployment This strategy should involve creating a new replica set with the updated image, and then gradually shitting traffic to the new replica set. After the traffic has been shifted, the old replica set should be deleted. This process should be fully automated whenever a new image is pushed to the Docker Hub repository ‘example/wordpress:latest’

See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Kubernetes Secret for Docker Hub Credentials:
– You’ll need a Secret to securely store your Docker Hub credentials for pulling images. Create a Secret with the following YAML:

– Replace with the base64 encoded content of your Docker Hub credentials file. This file is typically named ‘~/.docker/config.json’ and contains your Docker Hub username and password. You can create this file or update it manually. To encode the file, use a command like ‘base64 ~/.docker/config .jsons 2. Create a ConfigMap for Deployment Configuratiom – Create a ConfigMap to hold the image name and any other deployment-specific configuration:

3. Define a Deployment with a Blue-Green Strategy: – Create a Deployment named swordpress-deployment that incorporates the blue-green deployment strategy. This Deployment will have a ‘strategy’ section with a ‘type’ of ‘Recreate’ (for initial deployment) and a ‘blueGreenDeploymentStrategy’ section: 4. Create a Service.

– Create a Kubernetes Service that exposes your WordPress application. This service will automatically route traffic to the active replica set.

5. Automate the Blue-Green Deployment – Use a ‘DeploymentConfig’ resource to configure the automatic deployment

6. Apply the resources: – Apply all the YAML files using ‘kubectl apply -f’ to create the necessary resources. 7. Trigger the Blue-Green Deployment – Push a new image to the Docker Hub repository ‘example/wordpress:latest’ The ‘Deploymentconfig’ will automatically trigger the blue-green deployment: -A new replica set with the updated image will be created, and traffic will be shifted to the new replica set gradually – Once the traffic has been shifted, the old replica set will be deleted. Note: This implementation assumes that you are using OpenShift. If you are using a different Kubernetes distribution, the configuration may need to be adjusted SligntlY. ,

Q61. Refer to Exhibit.

Task:
Update the Pod ckad00018-newpod in the ckad00018 namespace to use a NetworkPolicy allowing the Pod to send and receive traffic only to and from the pods web and db

Q62.

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

Q63. 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.

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. ,

Q64. 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.

Q65. You are developing a service that uses a custom configuration file called ‘service.properties’. You want to use ConfigMaps to store and manage this file in a secure and efficient manner. The ‘service-properties’ file contains sensitive information such as database credentials and API keys.
How would you create a ConfigMap that securely stores the ‘service-properties’ file, ensuring that the file is accessible only to the service’s container?

Q66.

Set Configuration Context:
[student@node-1] $ | kubectl
Config use-context k8s
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

Q67. Context

Task:
The pod for the Deployment named nosql in the craytisn namespace fails to start because its container runs out of resources.
Update the nosol Deployment so that the Pod:
1) Request 160M of memory for its Container
2) Limits the memory to half the maximum memory constraint set for the crayfah name space.

Q68. You are building a microservices application on Kubernetes, where two services, and ‘service-b’ , need to communicate with each other securely. ‘Service-b’ needs to expose a secure endpoint that is only accessible by ‘service-a’. Describe how you would implement this using Kubernetes resources, including the configuration for the ‘service-b’ endpoint.

See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define a Kubernetes Secret:
– Create a Kubernetes secret to store the certificate and key pair for ‘service-W. This secret will be used to secure the communication.
– Example:

2. Configure ‘service-b’ Deployment: – Define a Deployment for ‘service-b’ , specifying a container that uses the secret for TLS. – Ensure that the container has the required dependencies and configuration to use TLS. – Example:

3. Define a Kubernetes Service for ‘service-b’.’ – Create a Service for ‘service-b’ that exposes the secure endpoint on a specific port (e.g., 8443) and uses the LoadBalancer’ type for external access. – Use the ‘targetPort’ field to specify the container port that ‘service-b’ is listening on. – Example:

4. Configure ‘service-a’ Deployment: – Define a Deployment for ‘service-a’, specifying a container that uses the secret for TLS when connecting to service-W. – Example:

5. Update ‘service-a’ Container Configuration: – Within the ‘service-a’ container, ensure the application is configured to use the certificate and key from the mounted volume (‘Ivar/tls/’) for secure communication with ‘service-b’. 6. Verify Secure Communication: – Use ‘kubectl get pods’ to check the status of both ‘service-a’ and ‘service-W pods. – Test the communication between ‘service-a’ and ‘service-b’ by sending requests from the ‘service-a’ pod to the secure endpoint of ‘service-b’. – Verify that the communication is secure and that ‘service-a’ can successfully access the endpoint. Notes: – You may need to adjust the port numbers and image names in the examples to match your specific setup. – Make sure you have the certificate and key in the correct format and base64 encoded before creating the Secret. – You can also use other methods like a Service Account and Role-Based Access Control (RBAC) to restrict access to the secure endpoint, if needed. – This is a simplified example and additional security measures may be required based on your application’s requirements. ,

Q69. You have a stateful application that requires persistent storage. You need to create a PersistentV01umeClaim (PVC) that Will be used by a Deployment to store application dat a. The PVC should have the following specifications:
– Access Modes: ReadWriteOnce
– Storage Class: ‘fast-storage
– Storage Size: IOGi
Provide the YAML code for creating this PVC.

Q70. You have a container image that contains a Python application. The application depends on specific libraries that are not included in the base image used for the container. Describe the steps involved in modifying the image to install the necessary libraries Without rebuilding the entire application.

Q71. You need to implement a mechanism for automatically rolling out new versions of your application pods. This process should be triggered by a change in tne application’s container image tag in a Docker Hub repository.

Q72. You have a multi-container Pod that runs a web server (Nginx) and a database (MySQL) container. The database container requires data to be initialized before the web server container can Stan. How would you configure the Pod to ensure the database container is initialized before tne web server container starts?

Q73. You have a ConfigMap named ‘database-config’ tnat stores sensitive information for connecting to a database. You want to ensure that this ConfigMap is only accessible by a specific namespace and not by other namespaces in the cluster.

CKAD Study Material, Preparation Guide and PDF Download: https://www.actualtests4sure.com/CKAD-test-questions.html

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A Fully Updated 2026 CKAD Exam Dumps – PDF Questions and Testing Engine [Q58-Q73]

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Linux Foundation CKAD Exam Syllabus Topics:

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