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| Section | Objectives |
|---|---|
| Application Observability and Maintenance | - Understand probes and health checks - Monitor and troubleshoot applications |
| Services and Networking | - Services (ClusterIP, NodePort) - Pod networking concepts - Ingress basics |
| State Persistence | - Storage classes and volume mounting - PersistentVolumes and PersistentVolumeClaims |
| Application Design and Build | - Understand multi-container Pod design patterns - Define, build and modify container images - Understand Jobs and CronJobs |
| Application Deployment | - Use Kubernetes primitives to implement deployments - Understand rolling updates and rollbacks |
| Application Environment, Configuration and Security | - Security contexts and service accounts - ConfigMaps and Secrets usage |
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NEW QUESTION # 211
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 # 212 
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
Answer:
Explanation:
See the solution below.
Explanation:
Solution:


NEW QUESTION # 213
Refer to Exhibit.
Task:
1) Fix any API depreciation issues in the manifest file -/credible-mite/www.yaml so that this application can be deployed on cluster K8s.
2) Deploy the application specified in the updated manifest file -/credible-mite/www.yaml in namespace cobra
Answer:
Explanation:
Solution:


NEW QUESTION # 214
You have a Deployment running a web application that is scaling dynamically based on traffic. However, the application occasionally experiences Slow response times during peak traffic periods. You suspect that the pods are being scheduled on nodes that are already under pressure. To improve the performance, you want to implement node affinity, ensuring that pods are scheduled on nodes with specific labels that indicate high resources and low utilization.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define Node Labels:
- Identify nodes with high resources and low utilization.
- Label these nodes with a specific label like 'high-resource':
bash
kubectl label nodes node-name high-resource=true
2. Configure Node Affinity in Deployment
- Update tne Deployment YAML to include node affinity rules.
- preferredDuringSchedulinglgnoredDuringExecution: This affinity rule indicates a preference for scheduling pods on nodes with specific labels. It doesn't prevent scheduling on other nodes if preferred nodes are unavailable.
3. Apply the Deployment Configuration: - Apply the updated Deployment configuration to your Kubernetes cluster: bash kubectl apply -f my-web-app-deployment.yaml 4. Monitor Pod Scheduling: - Use 'kubectl get pods -l app=my-web-app' to monitor the pod scheduling. - Verity that the pods are being scheduled on nodes with the 'high-resource' label.
NEW QUESTION # 215 
Context
You are tasked to create a secret and consume the secret in a pod using environment variables as follow:
Task
* Create a secret named another-secret with a key/value pair; key1/value4
* Start an nginx pod named nginx-secret using container image nginx, and add an environment variable exposing the value of the secret key key 1, using COOL_VARIABLE as the name for the environment variable inside the pod See the solution below.
Answer:
Explanation:
Solution:



NEW QUESTION # 216
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