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| Section | Weight | Objectives |
|---|---|---|
| Services and Networking | 20% | - Use Ingress rules - Understand and apply NetworkPolicies - Troubleshoot network access - Expose applications via Services |
| Application Observability and Maintenance | 15% | - Monitor applications using CLI tools - Debug applications in Kubernetes - Understand API deprecations - Work with container logs - Implement probes and health checks |
| Application Design and Build | 20% | - Understand multi-container Pod design patterns - Choose and use appropriate workload resources - Define, build and modify container images - Utilize persistent and ephemeral volumes |
| Application Environment, Configuration and Security | 25% | - Apply application security settings - Configure resource requirements, limits and quotas - Create and consume Secrets - Use ServiceAccounts - Understand authentication, authorization and admission control - Use custom resources and extensions - Work with ConfigMaps |
| Application Deployment | 20% | - Use Helm package manager - Work with Kustomize - Manage Deployments, rolling updates and rollbacks - Implement deployment strategies |
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NEW QUESTION # 36
You are working on a Kubernetes cluster where you have a Deployment named 'web-app' running an application. The application has a sensitive configuration file named 'config.jsons that is mounted as a volume to each pod. You need to ensure that this configuration file is not accessible by any user or process running within the pod, except for the application itselt Describe how you would implement this security best practice, using specific Kubernetes configurations, to protect the sensitivity of the 'config.json' file.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Secret for the Configuration File:
- Create a Kubernetes Secret to store the 'config.json' file securely. This will ensure that the configuration data is encrypted and stored in a way that is not accessible directly by users or processes within the pod.
- Use the following command to create the Secret:
bash
kubectl create secret generic config-secret -from-file-config .json=configjson
2. Mount the Secret as a Volume:
- In your Deployment YAML, mount the 'contig-secret' as a volume to the pod. This will make the secret's content available to the pod.
- Define the volume mount in the 'spec-template-spec-containers' section of your Deployment YAML:
3. Restrict Access using Security Context: - Define a 'securityContexts for the container in your Deployment YAML. This will restrict the container's capabilities and permissions. - Add a 'securitycontext' section to the section of your Deployment YAML:
4. Limit the Container's Capabilities: - Configure the 'capabilities' section within the 'securityContexts to restrict the container's access to specific system capabilities. This is essential for limiting the containers ability to access sensitive information or perform privileged operations. - Add a 'capabilities' section to the 'spec-template-spec-containers-securitycontext' section of your Deployment YAML:
5. Apply the Deployment: - Once tne Deployment configuration is updated, apply it to the cluster using the following command: bash kubectl apply -f deployment.yaml By implementing these steps, you ensure that the 'config.json' file is secured using a Kubernetes Secret, mounted as a volume, and access is restricted using security context and capabilities settings. This effectively protects the sensitive configuration from unauthorized access within the pod.
NEW QUESTION # 37
Context
You are asked to scale an existing application and expose it within your infrastructure.
First, update the Deployment nginx-deployment in the prod
namespace :
. to run 2 replicas of the Pod
. add the following label to the Pod :
role: webFrontEnd
Next, create a NodePort Service named rover in the prod namespace exposing the nginx-deployment Deployment 's Pods See the Explanation below for complete solution.
Answer:
Explanation:
Below is an exam-style, step-by-step solution (commands + verification). Follow exactly on host ckad000.
0) Connect to the right host
ssh ckad000
(Optional but good sanity check)
kubectl config current-context
kubectl get ns
1) Inspect the existing Deployment (to know its labels/ports)
kubectl -n prod get deploy nginx-deployment
kubectl -n prod get deploy nginx-deployment -o wide
Check what labels the Pod template already has (important for the Service selector):
kubectl -n prod get deploy nginx-deployment -o jsonpath='{.spec.template.metadata.labels}{"\n"}' Check container ports (so we expose the correct targetPort):
kubectl -n prod get deploy nginx-deployment -o jsonpath='{.spec.template.spec.containers[0].ports}{"\n"}' If ports output is empty, it's still often nginx on 80, but the safest is to confirm by describing a pod later.
2) Update Deployment to 2 replicas
Fastest:
kubectl -n prod scale deploy nginx-deployment --replicas=2
Verify:
kubectl -n prod get deploy nginx-deployment
3) Add label role=webFrontEnd to the Pod (Pod template label)
You must add it under:
spec.template.metadata.labels
Use a patch (quick + safe):
kubectl -n prod patch deploy nginx-deployment \
-p '{"spec":{"template":{"metadata":{"labels":{"role":"webFrontEnd"}}}}}' Verify the Deployment template now includes it:
kubectl -n prod get deploy nginx-deployment -o jsonpath='{.spec.template.metadata.labels}{"\n"}' Now verify the running Pods have the label (important!):
kubectl -n prod get pods --show-labels
If the label doesn't show on pods immediately, wait for rollout:
kubectl -n prod rollout status deploy nginx-deployment
kubectl -n prod get pods --show-labels
4) Create a NodePort Service rover exposing the Deployment's Pods
4.1 Get a reliable target port
Try to read containerPort:
kubectl -n prod get deploy nginx-deployment -o jsonpath='{.spec.template.spec.containers[0].ports[0].
containerPort}{"\n"}'
* If this prints a number (commonly 80), use it as --target-port.
* If it prints nothing/empty, check a pod:
POD=$(kubectl -n prod get pod -l role=webFrontEnd -o jsonpath='{.items[0].metadata.name}') kubectl -n prod describe pod "$POD" | sed -n '/Containers:/,/Conditions:/p' | sed -n '/Ports:/,/Environment:/p' Assuming nginx is on 80 (most common), create the service:
kubectl -n prod expose deploy nginx-deployment \
--name=rover \
--type=NodePort \
--port=80 \
--target-port=80
If your nginx container port is different (e.g., 8080), change --target-port=8080 accordingly.
5) Verify Service + endpoints (critical)
kubectl -n prod get svc rover -o wide
kubectl -n prod describe svc rover
kubectl -n prod get endpoints rover -o wide
You should see 2 endpoints (matching 2 pods).
Also confirm the pods are Ready:
kubectl -n prod get pods -l role=webFrontEnd -o wide
Quick "CKAD checkpoints"
* Deployment in prod has replicas=2
* Pod template has label role=webFrontEnd
* Service rover in prod is NodePort
* Service endpoints point to the nginx pods
NEW QUESTION # 38
You have a Kubernetes cluster With several deployments using secrets for sensitive information. You need to implement a mechanism to ensure that these secrets are rotated regularly to enhance security. Explain how you can achieve this using Kubernetes native features, and provide a detailed example demonstrating the process of secret rotation for a deployment called "myapp" which utilizes a secret named "myapp-secret".
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Secret Rotation Job:
- Define a CronJob:
- This job will be scheduled to run periodically to trigger the secret rotation process.
- In the CronJob definition, specify the desired schedule (e.g., daily, weekly, monthly) using a cron expression.
2. Update Deployment to Use New Secret: - Modify the Deployment Configuration: - Update the Deployment YAML tile of "myapp" to utilize the newly generated secret. - Replace the old secret name with the new secret name.
3. Apply the Changes: - Run the Update Commands: - Apply the CronJ0b definition using kubectl apply -f myapp-secret-rotator.yamr - Apply the updated Deployment configuration using 'kubectl apply -f myapp-deployment.yamr. 4. Verification: - Monitor tne CronJob and Deployment: - Use ' kubectl get cronjobs myapp-secret-rotator' to confirm the CronJob is running and triggering the rotation. - Monitor the 'myapp' Deployment to ensure the pods are utilizing the newly generated secret using 'kubectl get pods -l app=myapp' - Observe the output of the Deployment to verifry the rotation is successful. Key Points: - Secret Rotation Logic: The CronJob runs a script that deletes the old secret ( ' myapp-secret) and creates a new secret with updated credentials. - Deployment Update: The Deployment is updated to use tne new secret, ensuring tne application uses the latest credentials. - Automated Process: This approach automates the secret rotation process, eliminating manual intervention and enhancing security. This example demonstrates how to implement automated secret rotation for deployments using Kubernetes. You can modify the script in the CronJob and the deployment configuration to suit your specific environment and credential management needs. ,
NEW QUESTION # 39
You are tasked with deploying a complex application using Helm. The application consists of multiple microservices, each with its own deployment and service. To simplify the deployment and management of these microservices, you need to implement a mecnanism that allows you to automatically create and manage namespaces based on the name of the Helm release.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Custom Helm Chart:
- Begin by creating a custom Helm chart named 'my-app-chart' to manage the application's multiple microservices.
2. Implement a Namespace Creation Function:
- Within the 'my-app-chafltemplatesr directory, create a file named 'namespace-yamr and define the namespace creation function.
- This function uses the Helm release name to dynamically generate a namespace with the format '-namespace' 3. Add the Namespace to the Chan: - Modify the 'my-app-chart/templates/service.yamr and 'my-app-chart/templates/deployment_yamr for each microservice to ensure the deployments and services reside within the dynamically created namespace:
4. Deploy the Chart with Different Releases: - Use tne following command to deploy tne chart with different releases, each creating a separate namespace: bash nelm install release1 my-app-chart helm install release2 my-app-chart - This will create namespaces release1-namespace' and release2-namespace , each containing the deployments and services of the respective releases. 5. Manage and Clean Up: - To manage and clean up the deployments and namespaces, you can use regular Helm commands within the context or each namespace: bash kubectl --namespace release1 -namespace get pods helm delete release1 kubectl delete namespace release1-namespace - This approach provides a structured and automated method for managing multiple microservices within separate namespaces using Helm releases.,
NEW QUESTION # 40
You must connect to the correct host . Failure to do so may result in a zero score.
[candidate@base] $ ssh ckad00021
Task
Create a Cronjob named grep that executes a Pod running the following single container:
name: busybox
image: busybox:stable
command: ["grep", "-i", "nameserv
er", "/etc/resolv.conf"]
Configure the CronJob to:
* execute Once every 30 minutes
* keep 96 completed Job
* keep 192 failed Job
* never restart podsterminate pods after 8 seconds
Manually create and execute once job
named grep-test from the grep Cronjob
Answer:
Explanation:
See the Explanation below for complete solution.
Explanation:
ssh ckad00021
Below is the clean, CKAD-friendly way (YAML + apply + verify + manual job).
1) Create the CronJob grep
Create a file (anywhere, e.g. in your home):
cat <<'EOF' > grep-cronjob.yaml
apiVersion: batch/v1
kind: CronJob
metadata:
name: grep
spec:
schedule: "*/30 * * * *"
successfulJobsHistoryLimit: 96
failedJobsHistoryLimit: 192
jobTemplate:
spec:
activeDeadlineSeconds: 8
template:
spec:
restartPolicy: Never
containers:
- name: busybox
image: busybox:stable
command: ["grep", "-i", "nameserver", "/etc/resolv.conf"]
EOF
Apply it:
kubectl apply -f grep-cronjob.yaml
Verify:
kubectl get cronjob grep
kubectl describe cronjob grep
Confirm the key fields quickly:
kubectl get cronjob grep -o jsonpath='{.spec.schedule}{"\n"}{.spec.successfulJobsHistoryLimit}{"\n"}{.spec.
failedJobsHistoryLimit}{"\n"}'
kubectl get cronjob grep -o jsonpath='{.spec.jobTemplate.spec.activeDeadlineSeconds}{"\n"}{.spec.
jobTemplate.spec.template.spec.restartPolicy}{"\n"}'
2) Manually create and execute the one-off Job grep-test from the CronJob Create the Job from the CronJob:
kubectl create job --from=cronjob/grep grep-test
Watch it:
kubectl get jobs grep-test
kubectl get pods -l job-name=grep-test
Get logs (most important proof):
POD=$(kubectl get pods -l job-name=grep-test -o jsonpath='{.items[0].metadata.name}') kubectl logs "$POD" You should see one or more nameserver ... lines from /etc/resolv.conf.
NEW QUESTION # 41
......
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