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| Certification Vendor: | Linux Foundation |
|---|---|
| Exam Name: | Linux Foundation Certified Kubernetes Application Developer Exam |
| Exam Number: | CKAD |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 15-20 performance-based tasks |
| Related Certifications: | Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKS) |
| Exam Format: | Online proctored, Performance-based, Hands-on lab exam, Kubernetes CLI-based tasks |
| Exam Price: | USD 395 |
| Passing Score: | 66% |
| Exam Duration: | 120 minutes |
| Recommended Training: | CKAD Exam Preparation Course (Linux Foundation) |
| Exam Registration: | Linux Foundation Certification Portal |
| Sample Questions: | Linux Foundation CKAD Sample Questions |
| Exam Way: | Online proctored, remote performance-based lab environment |
| Pre Condition: | No formal prerequisites, but hands-on Kubernetes experience recommended |
| Official Syllabus URL: | https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/ |
MogiExamはもっぱらLinux FoundationプロCKAD認証試験に関する知識を提供するのサイトで、ほかのサイト使った人はMogiExamが最高の知識源サイトと比較しますた。MogiExamの商品はとても頼もしいCKAD試験の練習問題と解答は非常に正確でございます。
Linux Foundation Certified Kubernetes Application Developer（CKAD）試験は、Kubernetesで作業する開発者の知識とスキルをテストする人気のある認定プログラムです。この試験は、Kubernetesクラスターでクラウドネイティブアプリケーションの設計、構築、構成、展開における個人の習熟度を評価するように設計されています。 CKAD試験に合格した候補者は、Linux Foundationによって認定Kubernetesアプリケーション開発者として公式に認められています。
質問 # 223 
Context
As a Kubernetes application developer you will often find yourself needing to update a running application.
Task
Please complete the following:
* Update the app deployment in the kdpd00202 namespace with a maxSurge of 5% and a maxUnavailable of 2%
* Perform a rolling update of the web1 deployment, changing the Ifccncf/ngmx image version to 1.13
* Roll back the app deployment to the previous version
正解：
解説：
See the solution below.
Explanation:
Solution:
質問 # 224
You are building a new web application that utilizes a microservice architecture- One of the microservices, 'recommendation-service', is responsible for providing personalized product recommendations to users.
This service uses a machine learning model for generating recommendations based on user purchase history and browsing behavior. The model is trained offline and its weights are stored in a 'model-store' service.
Design a mufti-container Pod for the 'recommendation-service' that incorporates the following considerations:
- The Pod should include a primary container for the 'recommendation-service' application.
- The Pod should include a secondary container that runs the 'model-store' service to provide access to the trained model weights.
- Both containers should share a common volume to ensure that the model weights are available to the 'recommendation-service' container-
- The recommendation-service' snould be able to access the model weignts from the 'model-store' container witnout relying on a network call to another service-
- The recommendation-service' container should be configured to periodically update the model weights from the 'model-store' container when a new version of the model is available.
正解：
解説：
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create the Deployment YAML:
- Define a Deployment with the name 'recommendation-service'
- Set the replicas to for redundancy and scalability.
- Specify the labels Sapp: recommendation-service' for selecting the Pods in the Deployment.
- Create a 'template' section to define the Pod specificatiom
2. Deploy the Resources: - Apply the Deployment using 'kubectl apply -f deployment-yamp 3. Verify the Deployment: - Check the status of the Deployment using 'kubectl get deployments recommendation-service and ensure that three Pods are running. 4. Contigure the 'recommendation-service' - Modify the 'recommendation-service application to load the model weights from the specified path ClmodeVIatest-modeI_weightS). - Implement a mechanism within the 'recommendation-service to periodically check tor updated model weights in the shared volume. 5. Configure the 'model-store service: - Ensure that the model-store service is properly configured to store and retrieve the model weights. - Implement a mechanism in the 'model-store' service to notify the 'recommendation-service when a new model version is available. This notification can be achieved using a shared volume or a separate messaging system. 6. Test the Application: - Send requests to the 'recommendation-service' to generate recommendations. - Monitor the 'model-store' service and the shared volume to verify that the model weights are being updated correctly and the recommendation- service' is using the latest model version. Important Considerations: - Ensure that the 'recommendation-service' application is properly configured to access and load the model weights from the shared volume. - Implement a robust model management strategy, including versioning and rollback mechanisms, to ensure that the recommendation-service always uses the appropriate model. - Consider using a dedicated model store service that provides a dedicated API for retrieving and updating model weights. This can simplify the communication between the 'recommendation-service' and the model store. - Monitor the performance and resource usage of both services to ensure optimal performance.,
質問 # 225
You have a custom resource definition (CRD) named that represents a database resource in your Kubernetes cluster. You want to create a custom operator that automates the creation and management of these database instances. The operator should handle the following:
- Creation: When a new 'database.example.com' resource is created, the operator should provision a new PostgreSQL database instance on the cluster-
- Deletion: When a 'database.example_com' resource is deleted, the operator should clean up the corresponding PostgreSQL database instance.
- Scaling: If the 'spec-replicas' field of the 'database-example.com' resource is updated, the operator should scale the number of database instances accordingly.
Provide the necessary Kubernetes resources, custom operator code, and steps to implement this operator. You should use the 'Operator Framework' to build and deploy this operator
正解：
解説：
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create the CRD:
- Apply this YAML file to your cluster using ' kubectl apply -f database-crd.yamr. 2. Create the Operator Project: - IJse the Operator Framework' to initialize a new operator project bash operator-sdk init -domain example.com -repo example.com/database-operator --version VO.O. I -license apache2 - Replace 'example_com' with your desired domain name. 3. Define the Custom Resource: - Create a 'database_types.go' file in the 'api/vl' directory of your project. - Define the 'Database' resource as a custom resource struct Go package v1 import ( metavl "k8s.iofapimachinery/pkg/apis/meta/v1" // DatabaseSpec defines the desired state of Database type DatabaseSpec struct { If Replicas specifies the number of database instances to run.
// Password is the password for the database users.
} // DatabaseStatus defines the observed state of Database type DatabaseStatus struct { // Replicas is the actual number of database instances running.
// Ready indicates if the database is ready to accept connections.
}
4. Implement the Controller Logic: - Create a 'database_controller.go' file in the 'controllers' directory- - Implement the logic for creating, deleting, and scaling database instances.
5. Build and Deploy the Operator: - Build the operator using the 'operator-sdk build' command: bash operator-sdk build example.com/database-operator:vO.O.I --local - Deploy the operator to your Kubernetes cluster: bash kubectl apply -f deploy/operator.yaml 6. Test the Operator: - Create a new 'database-example-com' resource:
- Apply the YAML file to your cluster: bash kubectl apply -f my-database.yaml - Verify that the operator creates a PostgreSQL database instance. - Test scaling the database by updating the 'spec.replicas' field of the 'database.example.com' resource. - Delete the 'database.example.com' resource and verify that the operator cleans up the database instance. This step-by-step guide demonstrates a basic example of a custom operator using the Operator Framework. You can Kustomize this operator further to handle more complex operations and integrate with other Kubernetes resources. ,
質問 # 226
You are building a microservice application that consists of three components: a frontend service, a backend service, and a database service_ Each service is deployed as a separate pod in a Kubernetes cluster_ You need to implement health checks for each service to ensure that the application remains healthy and available. The frontend service should be able to reach both the backend service and the database service successfully. How would you implement health checks using Kustomize and ensure that the trontend service can only access the backend service and the database service within the cluster?
正解：
解説：
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define Service Resources: Create separate Kubernetes Service resources for each component (frontend, backend, and database) using Kustomize.
2. Implement Health Checks: Add liveness and readiness probes to the containers in each pod's deployment configuration. This will ensure that the pods are continuously monitored for their health.
3. Configure Network Policy: Create a Network Policy to restrict communication between pods. This policy will allow the frontend service to communicate With the backend service and the database service, but prevent it from accessing other pods in the cluster.
4. Apply Configurations: Apply the Kustomize configurations using 'kuactl apply -k .s. This Will create the services, deployments, and network policy in your Kubernetes cluster. 5. Test Health Checks: Verify the health checks are working correctly by checking the pod status and using 'kubectl exec -it' to interact With the pods. You can also use tools like 'kubectl describe deployment' to see tne results of the probes. - If the health checks are not working, troubleshoot the issues by Checking logs, inspecting pod events, and ensuring the probes are configured correctly in the deployments. - You can also use 'kubectl logs to check for any error messages related to network connectivity or the health checks. - If you are experiencing network policy issues, ensure that the policy is correctly applied, and that there are no conflicts with other policies. 6. Monitor Application Health: use Kubernetes monitoring tools to track the health of your microservices and ensure that any issues are detected and resolved promptly. Tools like Prometheus and Grafana can be used to monitor the liveness and readiness probes, as well as other metrics related to your application's health. - Health Checks: The liveness and readiness probes in the deployments allow Kubernetes to continuously monitor the health of the pods- If a probe fails, Kubernetes Will restan the pod or mark it as unhealthy, preventing traffic from being routed to tne pod. - Network Policy: The Network Policy restricts communication between pods. In this example, it ensures that the frontend service can only communicate with the backend service and the database service. - Kustomize: Kustomize helps to simplify tne management of Kubernetes configurations. You can define common configurations and override them for specific deployments or environments using Kustomize. Note: Make sure to adapt the port numbers and labels in the configurations to match your application's setup. You may also need to adjust the initial delay, period, timeout, and failure thresholds for the probes based on the requirements ot your services. ,
質問 # 227
You have a ConfigMap named 'my-app-config' that stores environment variables for your application. You want to dynamically update tne values in the ConfigMap without restarting the pods. How would you achieve this using a Kubernetes Patch?
正解：
解説：
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Get the Existing ConfigMap Data:
bash
kubectl get configmap my-app-config -o yaml > my-app-config.yaml
2. Modify the YAML File:
- Open 'my-app-config.yaml and update the values in the 'data' section as required- For example, if you want to change the value of 'DATABASE_HOST to Sdb.new.example.coms:
3. Patch the ConfigMap: bash kubectl patch configmap my-app-config -p "S(cat my-app-config_yaml)" 4. Verify the Changes: bash kubectl get configmap my-app-config -o yaml 5. Observe the Updated Values: - The pods will automatically pick up the updated values without the need for restarting. - You can confirm this by checking the environment variables within the pod using 'kubectl exec -it - bash -c 'env" This method allows for dynamic updates to the ConfigMap without restarting the pods, making it a convenient way to manage environment variables in your Kubernetes applications.
質問 # 228
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