[Aug-2026] CKAD Exam Dumps Pass with Updated 2026 Linux Foundation Certified Kubernetes Application Developer Exam [Q45-Q60]

15Aug 2026 by admin No Comments

5/5 - (1 vote)

[Aug-2026] CKAD Exam Dumps Pass with Updated 2026 Linux Foundation Certified Kubernetes Application Developer Exam

Free CKAD Exam Dumps to Pass Exam Easily

Linux Foundation CKAD Exam Syllabus Topics:

Section	Weight	Objectives
Application Design and Build	20%	– Utilize persistent and ephemeral volumes – Understand multi-container Pod design patterns (e.g., sidecar, init and others) – Define, build and modify container images – Choose and use the right workload resource (Deployment, DaemonSet, CronJob, etc.)
Services and Networking	20%	– Use Ingress rules to expose applications – Demonstrate basic understanding of NetworkPolicies – Provide and troubleshoot access to applications via services
Application Environment, Configuration and Security	25%	– ConfigMaps and Secrets – Understand authentication, authorization and admission control – SecurityContexts – Discover and use resources that extend Kubernetes (CRD, Operators) – ServiceAccounts – Understanding and defining resource requirements, limits and quotas
Application Deployment	20%	– Kustomize – Understand Deployments and how to perform rolling updates – Use the Helm package manager to deploy existing packages – Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary)
Application Observability and Maintenance	15%	– Utilize container logs – Use built-in CLI tools to monitor Kubernetes applications – Debugging in Kubernetes – Implement probes and health checks – Understand API deprecation policies

Q45. You have a microservice that is deployed in a Kubernetes cluster, and you want to monitor its performance and health using Prometheus and Grafan a. How can you configure Prometneus to scrape metrics from your microservice and create dashboards in Grafana?

See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Enable Metrics in Your Microservice:
– Ensure your microservice exposes metrics through an HTTP endpoint using a library like Prometheus Client (for Java), Go metrics, or StatsD.
– Define metrics such as request count, latency, error rate, and other relevant performance indicators.
2. Deploy Prometheus:
– Deploy Prometheus using a ‘Deployment and a ‘Service’
– Configure Prometheus to scrape metrics trom the microservice by adding its endpoint to the ‘scrape_configs’ in the ‘prometheus.yaml’ file.

3. Create a Service for Prometheus to Access the Microservice: – Create a ‘Service’ of type ‘ClusterlP’ that exposes the microservice’s metrics endpoint (usually port 9100). – Ensure Prometheus can reacn this service. 4. Deploy Grafana: – Deploy Gratana using a ‘Deployment’ and a ‘Service’ – Configure Grafana to connect to Prometheus as a data source. 5. Create Dashboards in Grafana: – Use Grafana’s dashboard builder to create custom dashboards that visualize the metrics collected by Prometheus. – Add panels to display graphs, charts, and tables that show the performance and health ot your microservice. 6. Configure Alerts in Grafana: – Configure alerts in Grafana based on specific metrics and thresholds. – Set up notifications to alert you when critical issues arise with the microservice. Note: This approach provides comprehensive monitoring for your microservice. Prometheus scrapes metrics from the microservice, stores them in its time series database, and Grafana visualizes these metrics and provides alerts for potential issues. Example Prometheus Scrape Configuration:

Example Grafana Dashboard: – Create a dashboard with panels that show the following metrics: – Request count per minute – Average request latency – Error rate – CPU and memory usage of the microservice container – Set up alerts to notify you it: – The request count exceeds a certain threshold – The average latency exceeds a certain threshold – The error rate exceeds a certain threshold – The CPU or memory usage exceeds a certain threshold,

Q46. Context

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

Q47. You are running a microservices application on Kubernetes, and you need to restrict the communication between your services to specific ports. For example, your ‘frontend’ service should only be allowed to communicate with the ‘backend’ service on port 8080. How would you configure this using NetworkPolicy in Kubernetes?

Q48. Refer to Exhibit.

Set Configuration Context:
[student@node-1] $ | kubectl
Config use-context k8s
Context
A web application requires a specific version of redis to be used as a cache.
Task
Create a pod with the following characteristics, and leave it running when complete:
* The pod must run in the web namespace.
The namespace has already been created
* The name of the pod should be cache
* Use the Ifccncf/redis image with the 3.2 tag
* Expose port 6379

Q49. You have a Kubernetes Job that runs a Python script for data processing. The script takes 30 minutes to complete, and you need to ensure that the Job is retried up to 3 times if it fails. Additionally, you want the Job to complete within a maximum of 45 minutes. Create a Job YAML file with appropriate configuration.

Q50. 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.

Q51. You are building a microservices architecture for a web application. One of your services handles user authentication. To ensure the service remains available even if one of the pods fails, you need to implement a high-availability solution. Design a deployment strategy for the authentication service that utilizes Kubernetes features to achieve high availability and fault tolerance.

Q52. You have a Kubernetes cluster running a critical application. To enhance security, you need to implement a NetworkPolicy that restricts ingress traffic to your application pods only from specific allowed IP addresses and ports. Furthermore, you want to allow egress traffic to all external services.

Q53. You are building a web application with two microservices: a frontend service (‘frontend’) and a backend service ( ‘ backend’). The frontend service requires access to the backend service, which iS exposed on port 8080 within the Kubernetes cluster. How would you configure an Ingress resource to direct traffic to the correct service based on the hostname, ensuring that the frontend service can access the backend service internally without exposing the backend service to the public internet?

Q54. You nave a Deployment running a web application tnat uses secrets to store sensitive information like database credentials. To improve security, you want to use a secret injection mechanism to provide the secret to the pod without exposing it in the deployment YAML.

Q55. You have a statefulset named ‘wordpress-statefulset’ running a WordPress application, and you’re experiencing intermittent issues with the database pod, causing intermittent downtime for the application. Describe the steps you would take to diagnose the issue, including any relevant Kubernetes commands or tools.

See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Check Pod Logs:
– Use ‘ kubectl logs -c database’ to examine the logs of the database pod- Look for any error messages or warnings that might indicate the cause of the intermittent issues.
2. Check Resource Utilization:
– Use ‘kubectl top pods -l app=wordpress-statefulset’ to check the CPU and memory usage of the database pod. High resource utilization could indicate a resource constraint issue.
3. Inspect Pod Events:
– Use ‘ kubectl describe pod to view the events related to the database pod. Look for events like “Back-Off’ or “Failed” which could indicate restart attempts or other issues.
4. Check Persistent Volume Claims:
– Use ‘kubectl describe pvc to verify the status of the persistent volume claim used by the database pod. If the claim is in an error state, this could be a source of the issue.
5. Examine Node Status:
– Use ‘ kubectl describe node to check the status of the node where the database pod is running. If the node is experiencing issues or is under high load, it could affect pod stability
6. Check Network Connectivity:
– Verity network connectivity between the database pod and other pods in the statefulset. use tools like ‘ping’ or ‘nc’ to test connectivity.
7. Examine Database Configuration:
– If the database pod is using a database like MySQL or PostgreSQL, Check the database configuration files for any potential issues or settings that might be causing the intermittent problems.
8. Check Deployment Strategy:
– Ensure that the statefulset’s deployment strategy is appropriate for the application. Consider using a rolling update strategy with a ‘maxunavailable’ setting to minimize downtime during updates.
9. Debug with Tools:
– Use tools like ‘kubectl exec’ or ‘kubectl port-forward’ to access the database pod and run debugging tools or commands directly inside the container. This allows for more in-depth analysis of the issue.
10. Consult Database Logs:
– If the database itself is experiencing issues, access the database logs from within the pod to get more detailed information on errors or performance problems. ,

Q56. You are building a Kubernetes application that involves a microservice architecture with multiple pods for each service. One of your services requires a sidecar container to handle logging and monitoring. How would you design the pod structure and define the relationships between the application container and the sidecar container?

Q57. You have a container image that uses a specific version of a library. You want to update this library to a newer version while still keeping the previous version available for compatibility purposes. Describe the steps involved in modifying the container image to include both versions of the library without rebuilding the entire application.

Q58. 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?

Q59. You have a web application that uses two different services: ‘frontend’ and ‘backend’. You want to restrict access to the ‘backend’ service from all pods except those with the label ‘app: frontend’. How would you configure NetworkPolicy to achieve this?

Q60. You nave a microservice tnat iS constantly updated With new features and bug fixes. You want to deploy new versions of this service in a way that minimizes downtime and avoids disrupting the existing application. Explain how you can use Kubernetes features to achieve this goal.

See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Use a Deployment:
– Create a ‘Deployment’ object to manage your microservice.
– Specify the desired number of replicas and the container image.
– Use a ‘rollinglJpdate’ strategy to control the update process.

2. Control Rollout Pace: – Use the maxSurge’ and ‘maxlJnavailable’ parameters to control the number of pods that can be unavailable or created during the update process. – For example, ‘maxi-Inavailable: ensures that no pods are unavailable during tne update, while ‘maxSurge: 1’ allows for one extra pod to be created during the update. 3. Trigger Automatic Updates: – Use a ‘Deployment’s ‘spec-template-spec-imagePullPolicy’ to trigger updates automatically when a new image is available. – Set imagePullPolicy: Always’ to force a pull of the image each time the deployment is updated. 4. Monitor Rollout Progress: – Use kubectl get pods -l app=my-microservice’ to monitor the rollout progress. – You can also use tne ‘kubectl rollout status deployment/my-microservice’ command to get detailed information about the rollout. 5. Use Liveness and Readiness Probes: – Define liveness and readiness probes to ensure that containers are healthy and ready to serve traffic. – The ‘Deployment’ will automatically restart unhealthy containers, while readiness probes will ensure that new pods are only considered ready for traffic once they are healtny. 6. Traffic Routing: – Use a ‘Service’ to expose your ‘Deployment’ to external clients. – Configure the ‘Service’ to use a ‘LoadBalancer’ or ‘NodePort’ to make the service accessible from outside the cluster. Note: This approach ensures a smooth rollout with minimal downtime. New pods are created with the new image, and traffic is gradually shifted to the updated pods while the old pods are gracefully terminated. The liveness and readiness probes ensure that only healthy pods receive traffic, and the automatic updates triggered by ‘imagePullPolicy: Always’ keep the service up-to-date.

CKAD Exam Dumps, CKAD Practice Test Questions: https://www.practicematerial.com/CKAD-exam-materials.html

Linux Foundation CKAD Exam Syllabus Topics:

Leave a Reply Cancel reply