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What is the cost of CNCF Certified Kubernetes Application Developer
- Cost: $300 USD
- Passing score: 70%
- Length of Examination: 120 minutes
- Format: Multiple choices, multiple answers
- Number of Questions: 40
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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.
Reference: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/
Linux Foundation CKAD Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Observability and Maintenance | 15% | - Use built-in CLI tools to monitor Kubernetes applications - Utilize container logs - Debugging in Kubernetes - Understand API deprecation policies - Implement probes and health checks |
| Topic 2: Services and Networking | 20% | - Use Ingress rules to expose applications - Demonstrate basic understanding of NetworkPolicies - Provide and troubleshoot access to applications via services |
| Topic 3: Application Environment, Configuration and Security | 25% | - ConfigMaps and Secrets - Understand authentication, authorization and admission control - Discover and use resources that extend Kubernetes (CRD, Operators) - SecurityContexts - ServiceAccounts - Understanding and defining resource requirements, limits and quotas |
| Topic 4: Application Deployment | 20% | - Use the Helm package manager to deploy existing packages - Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary) - Kustomize - Understand Deployments and how to perform rolling updates |
| Topic 5: Application Design and Build | 20% | - Understand multi-container Pod design patterns (e.g., sidecar, init and others) - Define, build and modify container images - Utilize persistent and ephemeral volumes - Choose and use the right workload resource (Deployment, DaemonSet, CronJob, etc.) |
Linux Foundation Certified Kubernetes Application Developer Sample Questions:
You must connect to the correct host . Failure to do so may result in a zero score.
[candidate@base] $ ssh ckad00033
Task
A Dockerfile has been prepared at /home/candidate/build/Dockerfile.
Using the prepared Dockerfile, build a container image with the name macaque and tag 1.2. You may install and use the tool of your choice.
Multiple image builders and tools have been pre-installed in the base system, including: docker, skopeo, buildah, img , and podman.
Please do not push the built image to a registry, run a container, or otherwise consume it.
Using the tool of your choice, export the built container image in OCI or Docker image format and store it at
/home/candidate/macaque-1.2.tar.
Correct Answer:
See the Explanation below for complete solution.
Explanation:
Understood - I'll redo Question 13 without using any # (or similar) icons.
ssh ckad00033
This task is only about building and exporting a container image.
You must not push it, run it, or consume it in any way.
You may use any image builder. Below are clean, correct solutions. Use one of them.
Option A: Using Docker
1) Go to the Dockerfile location
cd /home/candidate/build
ls -l Dockerfile
2) Build the image
Image name: macaque
Tag: 1.2
docker build -t macaque:1.2 .
Verify:
docker images | grep macaque
3) Export the image to a tar file
Docker image format is acceptable.
docker save macaque:1.2 -o /home/candidate/macaque-1.2.tar
Verify the file exists:
ls -lh /home/candidate/macaque-1.2.tar
Do not load or run the image.
Option B: Using Podman (rootless alternative)
1) Build the image
cd /home/candidate/build
podman build -t macaque:1.2 .
Verify:
podman images | grep macaque
2) Export the image
podman save macaque:1.2 -o /home/candidate/macaque-1.2.tar
Verify:
ls -lh /home/candidate/macaque-1.2.tar
Option C: Using Buildah (OCI format)
cd /home/candidate/build
buildah bud -t macaque:1.2 .
buildah push macaque:1.2 oci-archive:/home/candidate/macaque-1.2.tar
You are building a container image for a Spring Boot application that connects to a MySQL database. The application requires specific environment variables, such as the database nostname, username, password, and port. How would you define these environment variables Within the Docker-file to ensure the application runs correctly in a Kubernetes cluster?
Reveal Solution Discussion 0Correct Answer:
See the solution below with Step by Step Explanation.
Explanation:
1. Define Environment Variables in Docker-file:
- Utilize the 'ENV' instruction within your Dockerfile to set the necessary environment variables.
- These variables will be accessible to your Spring Boot application during runtime.
- Example:
dockerfile
2. Build the Docker Image: - Construct your Docker image using the Docker-file. - Run the following command: 'docker build -t your-image-name 3. Deploy to Kubernetes: - Create a Deployment or Pod in Kubernetes that utilizes your built image. - Ensure the pod's environment variables align with the ones defined in your Dockerfile. - Example (Deployment YAML):
4. Verify Application Functionality: - Access your deployed application in the Kubernetes cluster. - Verify that it connects successfully to the database and operates as expected.
You are managing a Kubernetes cluster running a highly-available application that uses a custom resource called 'Orders. The 'orders resource is created and managed by a custom controller that ensures the order processing workflow runs flawlessly. However, the 'order' resource's validation rules have changed, requiring a new schema to be applied. How can you ensure that the existing 'Order' resources conform to the new schema without disrupting the application's functionality?
Reveal Solution Discussion 0Correct Answer:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Define the New Schema:
- Create a new CustomResourceDefinition (CRD) file with the updated schema for the 'Order' resource.
- Ensure that the CRD's 'spec-validation.openAPlV3Schema' field includes all the new validation rules.
2. Update the CRD: - Apply the new CRD definition using 'kubectl apply -f order-crd.yaml'. 3. Create a Webhook for Validation: - Define a webhook in your Kubernetes cluster that will be responsible for validating the 'order' resources against the new schema. - Configure the webhook to be invoked during resource creation and update operations.
4. Deploy the Validation Service: - Create a deployment for the validation service that implements the logic for validating the 'Order' resources against the new schema. - The service should expose an endpoint that the webhook can communicate with.
5. Reconcile Existing Resources: - Once the validation webhook and service are deployed, create a temporary job that iterates through all existing 'Order resources. - The job snould validate each resource against tne new schema and automatically update any resources that do not comply.
By following these steps, you can ensure that your 'order' resources conform to the new schema without disrupting the application's functionality The validation webhook prevents new invalid resources from being created, and the reconciliation job ensures that existing resources are updated to meet the new schema requirements. This approach allows for smooth schema evolution and maintains the consistency of your data.,
You have a Deployment named 'redis-deployment that runs 3 replicas of a Redis container. You need to implement a rolling update strategy that allows tor a maximum ot one pod to be unavailable at any given time during tne update process, With the new pod becoming available before the old pod is terminated. Additionally, you want to ensure that the update process is triggered automatically whenever a new image is pushed to the Docker Hub repository 'redislabs/redis:latest.
Reveal Solution Discussion 0Correct Answer:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAML:
- Update the 'replicas to 2_
- Define 'maxunavailable: 1 ' and 'maxSurge: 1 ' in the 'strategy.rollingupdate' section to control the rolling update process.
- Configure a 'strategy-type' to 'Rollingupdate' to trigger a rolling update when the deployment is updated.
- Add a 'spec-template.spec.imagePullPolicy: Always' to ensure that the new image is pulled even if it exists in the pod's local cache.
2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f redis-deployment.yaml' 3. Verify the Deployment - Check the status of the deployment using 'kubectl get deployments redis-deployment' to confirm the rollout and updated replica count. 4. Trigger the Automatic Update. - Push a new image to the Docker Hub repository 5. Monitor the Deployment: - Use 'kubectl get pods -l app=rediS to monitor the pod updates during the rolling update process. You will observe that one new pod with the updated image is created, and then one old pod is terminated- This ensures that there is no downtime during the update process. 6. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment redis-deployment' to see that the 'updatedReplicaS field matches the 'replicas' field, indicating a successful update.
You have a Deployment named 'mysql-deployment running a MySQL database container. The 'mysql-deployment' has 2 replicas and you want to implement a blue-green deployment strategy for updating the database. The following steps need to be implemented:
- Create a new Deployment called 'mysql-deployment-new' with the updated MySQL image.
- Ensure that both deployments (old and new) are running concurrently.
- Route traffic to the 'mysql-deployment-new' deployment.
- Remove the old deployment ('mysql-deployment) once the traffic is switched over.
Correct Answer:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a new Deployment with updated image:
- Create a new Deployment named 'mysql-deployment-new' with the updated MySQL image. You can either create a new YAML tile or use 'kubectl create deployment' command.
- Ensure that the new deployment has the same number ot replicas as the old deployment.
2. Apply the new Deployment: - Apply the new Deployment YAML using 'kubectl apply -f mysql-deployment-new.yamr 3. Check Deployment status: - IJse ' kubectl get deployments' to verity that both deployments are running. You should see both 'mysql-deployment' and 'mysql-deployment-new' . 4. Update Service to use the new deployment: - Update the Service that is associated with the MySQL database to point to the new Deployment
- Apply the updated Service YAML using 'kubectl apply -f mysql-service-yamr 5. Verify traffic routing: - Test the application or services that rely on the MySQL database to ensure that the traffic is now being routed to the 'mysql-deployment-new' 6. Delete old Deployment: - Once you have verified that the traffic is successfully routed to the new Deployment, you can delete the old Deployment 'mysql-deployment' using 'kubectl delete deployment mysql-deployment'.]
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