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| Certification Vendor: | Linux Foundation |
|---|---|
| Exam Name: | Certified Kubernetes Application Developer (CKAD) Exam |
| Exam Number: | CKAD |
| Exam Duration: | 120 minutes |
| Available Languages: | English |
| Exam Format: | Command-line, Performance-based |
| Related Certifications: | Certified Kubernetes Application Developer (CKAD) |
| Real Exam Qty: | 15-20 (performance-based tasks) |
| Exam Price: | USD 445 |
| Passing Score: | 66% |
| Certificate Validity Period: | 3 years |
| Sample Questions: | Linux Foundation CKAD Sample Questions |
| Exam Way: | Online, proctored exam via PSI Secure Browser (performance-based in a command-line environment). |
| Pre Condition: | No mandatory prerequisites, but working knowledge of container runtimes and microservice architecture is recommended. |
| Official Syllabus URL: | https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/ |
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NEW QUESTION # 121
Refer to Exhibit.
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
Answer:
Explanation:
Solution:
NEW QUESTION # 122
Refer to Exhibit.
Given a container that writes a log file in format A and a container that converts log files from format A to format B, create a deployment that runs both containers such that the log files from the first container are converted by the second container, emitting logs in format B.
Task:
* Create a deployment named deployment-xyz in the default namespace, that:
* Includes a primary
lfccncf/busybox:1 container, named logger-dev
* includes a sidecar Ifccncf/fluentd:v0.12 container, named adapter-zen
* Mounts a shared volume /tmp/log on both containers, which does not persist when the pod is deleted
* Instructs the logger-dev
container to run the command
which should output logs to /tmp/log/input.log in plain text format, with example values:
* The adapter-zen sidecar container should read /tmp/log/input.log and output the data to /tmp/log/output.* in Fluentd JSON format. Note that no knowledge of Fluentd is required to complete this task: all you will need to achieve this is to create the ConfigMap from the spec file provided at /opt/KDMC00102/fluentd-configma p.yaml , and mount that ConfigMap to /fluentd/etc in the adapter-zen sidecar container
Answer:
Explanation:
Solution:
NEW QUESTION # 123
You have a multi-container Pod that runs a web server (Nginx) and a database (MySQL) container. The database container requires data to be initialized before the web server container can Stan. How would you configure the Pod to ensure the database container is initialized before tne web server container starts?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Use initContainers:
- Define one or more 'initContainers' within the Pod'S 'spec.template.spec' section.
- The 'initContainerS will run before any other container in the Pod.
- In this case, you would create an 'initcontainer' for the MySQL database.
2. Configure the initContainer:
- The 'initcontainer' should have the following attributes:
- Name: A unique name for the container.
- Image: The Docker image containing the necessary tools to initialize the database.
- Command: The command to execute for database initialization.
- LivenessProbe: Optional, but recommended to check if the database initialization process is successful.
3. Sequence the containers:
- Ensure the 'initContainers' are listed before the main containers in the Pod's 'spec-template-spec-containers' section.
4. Exam le YAML:
- The 'mysql-init' 'initcontainer' will run before the 'nginx' and 'mysql' containers- - The 'command' in the 'injtContainer' Will create a database named within tne MySQL container. - The livenessprobe' will ensure that the database iS reachable on pon 3306 atter the initialization process completes. Note: This solution assumes that the 'mysqr image already includes the necessary database initialization tools. You might need to use a custom image with these tools if the default image doesn't provide them.,
NEW QUESTION # 124 
Set Configuration Context:
[student@node-1] $ | kubectl
Config use-context k8s
Context
A pod is running on the cluster but it is not responding.
Task
The desired behavior is to have Kubemetes restart the pod when an endpoint returns an HTTP 500 on the
/healthz endpoint. The service, probe-pod, should never send traffic to the pod while it is failing. Please complete the following:
* The application has an endpoint, /started, that will indicate if it can accept traffic by returning an HTTP 200.
If the endpoint returns an HTTP 500, the application has not yet finished initialization.
* The application has another endpoint /healthz that will indicate if the application is still working as expected by returning an HTTP 200. If the endpoint returns an HTTP 500 the application is no longer responsive.
* Configure the probe-pod pod provided to use these endpoints
* The probes should use port 8080
Answer:
Explanation:
See the solution below.
Explanation:
Solution:
To have Kubernetes automatically restart a pod when an endpoint returns an HTTP 500 on the /healthz endpoint, you will need to configure liveness and readiness probes on the pod.
First, you will need to create a livenessProbe and a readinessProbe in the pod's definition yaml file. The livenessProbe will check the /healthz endpoint, and if it returns an HTTP 500, the pod will be restarted. The readinessProbe will check the /started endpoint, and if it returns an HTTP 500, the pod will not receive traffic.
Here's an example of how you can configure the liveness and readiness probes in the pod definition yaml file:
apiVersion: v1
kind: Pod
metadata:
name: probe-pod
spec:
containers:
- name: probe-pod
image: <image-name>
ports:
- containerPort: 8080
livenessProbe:
httpGet:
path: /healthz
port: 8080
initialDelaySeconds: 15
periodSeconds: 10
failureThreshold: 3
readinessProbe:
httpGet:
path: /started
port: 8080
initialDelaySeconds: 15
periodSeconds: 10
failureThreshold: 3
The httpGet specifies the endpoint to check and the port to use. The initialDelaySeconds is the amount of time the pod will wait before starting the probe. periodSeconds is the amount of time between each probe check, and the failureThreshold is the number of failed probes before the pod is considered unresponsive.
You can use kubectl to create the pod by running the following command:
kubectl apply -f <filename>.yaml
Once the pod is created, Kubernetes will start monitoring it using the configured liveness and readiness probes. If the /healthz endpoint returns an HTTP 500, the pod will be restarted. If the /started endpoint returns an HTTP 500, the pod will not receive traffic.
Please note that if the failure threshold is set to 3, it means that if the probe fails 3 times consecutively it will be considered as a failure.
The above configuration assumes that the application is running on port 8080 and the endpoints are available on the same port.
NEW QUESTION # 125
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 # 126
......
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