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Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q78-Q83):

NEW QUESTION # 78
You are running a Kubernetes cluster with a deployment for a critical application. The application uses sensitive data stored in a secret. To ensure security, you need to implement a policy that prevents the deployment of pods for this application if the secret containing the sensitive data is missing. How would you implement this using Custom Resource Definitions (CRDs) and Admission Webhooks?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Create a CRD for Secret Validation:
- Define a Custom Resource Definition (CRD) named 'SecretValidator' to specify the required secret for the deployment.
- This CRD will have a 'spec' section containing the name of the secret.

2. Create a Validation Webhook Configuration: - Create a ValidatingWebhookConfiguration resource. - Define the 'rules' to match the 'SecretValidatoo CRD and ensure that the webhook is triggered for all operations on the CRD. - Specify the 'failurePolicy' as 'Fail' to prevent pod deployment if the validation fails. - Provide the 'admissionReviewVersions' to indicate the supported API versions. - Set the 'sideEffects' to 'None' as the webhook only performs validation and does not modify the object.

3. Create the Secret Validation Service: - Create a Deployment for a service that will handle the validation webhook requests. - The service should have a container with a code that checks if the required secret exists in the namespace.

4. Implement the Validation Logic in the Service: - In the code of the secret validation service container, you will need to: - Receive the request from the Kubernetes API server. - Retrieve the 'secretName' from the 'SecretValidator' CRD. - Check if a secret with that name exists in the namespace. - If the secret exists, allow the pod deployment. - If the secret does not exist, deny the pod deployment and return an error message. package main import ( "context" "encoding/json" "fmt" "io/ioutil" "net/http" metavl "k8s.io/apimachinery/pkg/apis/meta/v1" "k8s.io/apimachinery/pkg/runtime" "k8s.io/apimachinery/pkg/runtime/serializer" "k8s.io/apimachinery/pkg/types" "k8s.io/client-go/kubernetes" "k8s.io/client-go/rest" func main() { // Create a Kubernetes clientset config, err := rest. InClusterConfig() if err != nil { panic(err) clientset, err := kubernetes.NewForConfig(config) if err != nil { panic(err) // Create a scheme for decoding the CRD scheme := runtime.NewScheme() codecs := serializer.NewCodecFactory(scheme) deserializer := codecs.UniversalDeserializer() // Start the HTTP server http.HandleFunc("/validate", func(w http.ResponseWriter, r http.Request) { // Read the admission review request body body, err := ioutil.ReadAll(r.Body) if err != nil { http.Error(w, fmt.Sprintf("Error reading body: %v" err), http.StatuslnternalServerError) return } // Unmarshal the admission review request var admissionReview metavl .AdmissionReview , err = deserializer.Decode(body, nil, &admissionReview) if err != nil { http.Error(w, fmt.Sprintf("Error decoding admission review: %v", err), http.StatuslnternalServerError) return } // Unmarshal the admission review request var admissionReview metavl .AdmissionReview , err = deserializer.Decode(body, nil, &admissionReview) if err != nil { http.Error(w, fmt.Sprintf("Error decoding admission review: %v", err), http.StatuslnternalServerError) return } // Check if the secret exists , err = clientset.CoreV1 ().Secrets(admissionReview.Request.Namespace).Get(context.TODO(), secretValidator.Spec.SecretName, metavl .GetOptions{}) if err nil { // Secret does not exist, deny the request admissionReview.Response = &metavl .AdmissionResponse{ IJID: admissionReview.Request.UlD, Allowed: false, Result: &metavl .Status{ Status: metavl .StatusFailure, Message: fmt.Sprintf("Secret %s not found in namespace %s", secretValidator.Spec.SecretName, admissionReview.Request.Namespace), } } } else { // Secret exists, allow the request admissionReview.Response = &metavl .AdmissionResponse{ UID: admissionReview.Request.UlD, Allowed: true, Result: &metavl .Status{ Status: metavl .StatusSuccess, // Marshal the admission review response response, err := json.Marshal(admissionReview) if err nil { http.Error(w, fmt.Sprintf("Error marshaling admission review: %v", err), http.StatuslnternalServerError) return } // Write the response to the client w.WriteHeader(http.StatusOK) w.Write(response) }) // Start the HTTP server on port 8443 http.ListenAndServeTLS(":8443", "/path/to/cert.pem", "/path/to/key.pem", nil) } // Define the SecretValidator CRD type SecretValidator struct { metav1 .TypeMeta metav1 .ObjectMeta Spec SecretValidatorSpec } type SecretValidatorSpec struct {

} 5. Create a SecretValidator Resource: - Create a 'SecretValidator' resource in the same namespace as the deployment. - Set the 'spec.secretName' to the name of the required secret.

6. Deploy the Application with the Validation: - Ensure that the deployment for the application is in the same namespace as the 'SecretValidator' resource. - The deployment should reference the 'SecretValidator' resource in its annotations to trigger the validation webhook.

Note: This setup will only work for deployment creation. For other operations (e.g., updates), you need to update the 'rules' in the 'ValidatingWebhookConfiguration'. You can also extend this solution to validate other resources or create more specific validation policies.]

NEW QUESTION # 79
You have a Deployment named 'my-app-deployment' that runs 3 replicas of a Spring Boot application. This application needs to access a PostgreSQL database hosted on your Kubernetes cluster. You need to create a Custom Resource Definition (CRD) to define a new resource called 'Database' to represent the PostgreSQL database instances within your cluster. This CRD should include fields for specifying the database name, username, password, and the host where the database is deployed. Further, you need to configure the 'my- app-deployment' to use the 'Database' resource to connect to the PostgreSQL instance dynamically.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the CRD:
- Create a YAML file named 'database.crd.yaml' to define the "Database' resource:

2. the CRD: - Apply tre 'database.cre.yaml' using 'kubectl "ply -f database.crd.ya'mr 3. Create A Database Instance: - 'eate YAML file 'd:tabaseyarnl' to define a database instance

4. Apply the Database Instance: - Apply the 'database.yaml' using 'kubectl apply -f database.yamr 5. IJpdate the Deployment - Update the Amy-app-deployment.yaml' to use the 'Database' resource:

6. Apply the Updated Deployment: - Apply the updated 'my-app-deployment.yamr using 'kubectl apply -f my-app-deployment.yamr 7. Verify the Configuration: - Use 'kubectl get databases to check the database instance. - Use 'kubectl describe pod -l app=my-app' to verify that the pods are using the values from the 'Database' resource tor connecting to the PostgreSQL database. This approach demonstrates how to utilize CRDs to define custom resources in Kubernetes and how to connect applications dynamically to these resources. The CRO ensures proper definition of the database resource, while the deployment utilizes the 'fieldRef mechanism to access and retrieve database connection details directly from the CRD, enabling dynamic configuration and simplification of application setup.,

NEW QUESTION # 80

Task
You have rolled out a new pod to your infrastructure and now you need to allow it to communicate with the web and storage pods but nothing else. Given the running pod kdsn00201 -newpod edit it to use a network policy that will allow it to send and receive traffic only to and from the web and storage pods.

Answer:

Explanation:
See the solution below.
Explanation
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: internal-policy
namespace: default
spec:
podSelector:
matchLabels:
name: internal
policyTypes:
- Egress
- Ingress
ingress:
- {}
egress:
- to:
- podSelector:
matchLabels:
name: mysql
ports:
- protocol: TCP
port: 3306
- to:
- podSelector:
matchLabels:
name: payroll
ports:
- protocol: TCP
port: 8080
- ports:
- port: 53
protocol: UDP
- port: 53
protocol: TCP

NEW QUESTION # 81
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

Answer:

Explanation:
Solution:

NEW QUESTION # 82
You have a Deployment named 'nginx-deployment' running 3 replicas of an Nginx container. You need to ensure that all 3 pods are using the same ConfigMap for configuration. Additionally, you need to configure the ConfigMap so that changes made to it are automatically reflected in the running pods without requiring a new Deployment update.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create the ConfigMap:

2. Apply the ConfigMap: bash kubectl apply -f nginx-config_yaml 3. Update the Deployment to use the ConfigMap:

4. Apply the updated Deployment bash kubectl apply -f nginx-deployment.yaml 5. Verify the Deployment: bash kubectl get deployments nginx-deployment You should see that the Deployment is using the 'nginx-config' ConfigMap for its configuration. 6. Test the automatic update: - Modify the 'nginx-config' ConfigMap: bash kubectl edit configmap nginx-config Change the 'nginx_conf' value in the ConfigMap. - Verify the change in the pods: bash kubectl exec -it -- bash -c 'cat /etc/nginxfconf-d/nginx_conf' Replace with the name of one of the pods- This command will display the contents of the nginx configuration file within the pod. You will observe that the nginx configuration file in the running pods is automatically updated without needing a Deployment update.

NEW QUESTION # 83
......

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Jim Lee Jim Lee

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