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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Observability and Maintenance | 15% | - Work with container logs - Monitor applications using CLI tools - Implement probes and health checks - Understand API deprecations - Debug applications in Kubernetes |
| Topic 2: Services and Networking | 20% | - Expose applications via Services - Troubleshoot network access - Understand and apply NetworkPolicies - Use Ingress rules |
| Topic 3: Application Deployment | 20% | - Manage Deployments, rolling updates and rollbacks - Implement deployment strategies - Use Helm package manager - Work with Kustomize |
| Topic 4: Application Design and Build | 20% | - Choose and use appropriate workload resources - Understand multi-container Pod design patterns - Define, build and modify container images - Utilize persistent and ephemeral volumes |
| Topic 5: Application Environment, Configuration and Security | 25% | - Apply application security settings - Understand authentication, authorization and admission control - Use ServiceAccounts - Work with ConfigMaps - Configure resource requirements, limits and quotas - Use custom resources and extensions - Create and consume Secrets |
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NEW QUESTION # 136
You are managing a Kubernetes cluster that runs several microservices. One of these services, called "web-app", needs to have its pods scaled based on the current load. You have created a custom resource called "autoscaling.k8s.i0/v1 alphal" which represents the desired number of replicas for the "web-app" service- Implement a Kubernetes Controller that watches for changes in this custom resource and automatically scales the "web-app" Deployment accordingly.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create the Custom Resource Definition (CRD):
- Define the custom resource "autoscaling.k8s.io/v1alpha1" using the following YAML file:
- Apply the CRD using 'kubectl apply -f crd.yamr 2. Create the Custom Resource: - Create an instance of the custom resource 'Autoscaling" with the desired number of replicas for the "web-app" Deployment:
- Apply the custom resource using 'kubectl apply -t autoscaling-yamr 3. Create the Kubernetes Controller: - Create a Kubernetes Controller that watches for changes in the "Autoscaling" custom resource and updates the "web-app" Deployment.
4. Deploy the Controller: - Build and deploy tne controller to your Kubernetes cluster. 5. Verify the Controllers Functionality: - Make a change to the "Autoscaling" custom resource (e.g., increase the desired replicas). - Observe that the "web-app" Deployment is automatically scaled based on the new desired replica count. This code implements a basic Kubernetes Controller that monitors the "Autoscaling" custom resource. When the desired replicas are changed, the controller updates the "web-appt' Deployment, ensuring the desired number of replicas is maintained. Note: This example assumes that the "web-app" Deployment exists in the same namespace as the "Autoscaling" custom resource. You might need to adapt the code for different deployments and namespaces.,
NEW QUESTION # 137
You need to schedule a job to run every day at 10:00 AM to clean up old container images in your Kubernetes cluster These images are tagged with "app=my-app" and have been created in the last 7 days. How would you implement this using a CronJob?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a CronJob YAML file:
2. Apply the Cronjob: bash kubectl apply -f image-cleanup-cronjob.yaml 3. Verify the CronJob: bash kubectl get cronjobs - Schedule: The 'schedule' field defines the cron expression, which triggers the job every day at 10:00 AM. - Job Template: - The 'j0bTemplate' defines the actual job that Will be executed. - Container: - The 'image' field specifies the container image to use. In this case, it's a container with 'kubectr pre-installed_ - The 'command' and Sargs' fields detine the command to run in the container. The command uses 'kubectr to list images With the specified label and then iterates through them, checking their creation date. If an image is older than 7 days, it's deleted. - RestaftPolicy: The 'restartPolicy' is set to 'OnFailure' to ensure the job restarts if it fails. Important Note: - Make sure the container image you choose has the necessary tools (like 'kubectl') to interact with your Kubernetes cluster. - This solution assumes you have the necessary permissions to delete images. If not, you may need to modify the 'kubectl delete image' command to use appropriate RBAC roles. - This solution doesn't consider images used by running pods. You should adjust the script to exclude images that are currently in use. This Cronjob will automatically run every day, cleaning up old container images and maintaining a clean environment in your cluster.,
NEW QUESTION # 138
You have a Kubernetes application that requires configuration values to be injected into the application's environment variables. You want to manage these configuration values centrally and allow for easy updates and versioning. You are considering using Kustomize to achieve this.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a base configuration file:
- Define the base configuration values in a file named 'base-yaml'
2. Create a Kustomjzation file: - Create a file named ' kustomization.yaml' to define the Kustomize configuration:
3. Create an overlay for development environment - Create a directory named 'dev' and create a 'kustomization.yamr file within it:
- Create a 'patch.yaml' file within the 'devs directory to override the base configuratiom
4. Apply the configuration: - To apply the base configuration, use: bash kubectl apply -k - To apply the configuration for the development environment, use: bash kubectl apply -k dev 5. Verify the configuration: - You can verify the applied configuration by listing the ConfigMaps: bash kubectl get configmaps -n my-app-namespace - You can View tne specific configuration values using Ski-Ibectl get configmap my-app-config -n my-app-namespace -o yaml ,
NEW QUESTION # 139
You are running a web application on a Kubernetes cluster, and you want to ensure that thecontainer running your application is protected from potential security vulnerabilities. You are specifically concerned about unauthorized access to the container's filesystem. Explain how you would implement AppArmor profiles to restrict access to the container's filesystem.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the AppArmor Profile:
- Create a new AppArmor profile file, for example, 'nginx-apparmor.conf, within your Kubernetes configuration directory.
- Within this file, define the restrictions for the container.
- For instance, to allow access to specific directories and files:
# include common AppArmor profile
include /etc/apparmor.d/abstractions/base/nginx.apparmor
# Allow access to specific directories
/var/www/html r,
/etc/nginx r,
# Allow access to specific files
/etc/nginx/nginx.conf r,
/usr/sbin/nginx r,
# Deny access to all other files and directories
Deny
2. Load the AppArmor Profile:
- Use the create configmap' command to create a ConfigMap containing your AppArmor profile:
Bash
kubectl create configmap nginx-apparmor-profile --from-file=nginx-apparmor.conf
3. Apply the Profile to Your Deployment:
- Update your Deployment YAML file to include the AppArmor profile:
4. Restart the Pods: - Apply the updated Deployment YAML using 'kubectl apply -f nginx-deployment.yaml' - The updated deployment will restart the pods with the new AppArmor profile. 5. Verify the Profile: - Check the status of the pods with 'kubectl describe pod - Look for the "Security Context" section and verify that the AppArmor profile is correctly applied. 6. Test the Restrictions: - Try to access files or directories that are not allowed by your AppArmor profile. - This will help you confirm that the profile is effectively restricting access.
NEW QUESTION # 140
You have a web application that requires a specific sidecar container to perform certain tasks like logging and monitoring. You need to ensure that this sidecar container iS always running alongside your application pod, even it the main application pod restarts or iS deleted and recreated. How would you achieve this using a DaemonSet in Kubernetes?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Define the DaemonSet YAML: Create a YAML file that defines the DaemonSet configuration. This file will include the following key sections:
- Metadata Includes the name and labels for the DaemonSet.
- Spec: Defines the deployment details:
- Selector: Matches the labels of the pods that the DaemonSet should manage.
- Template: Contains the pod definition:
- Containers: Defines the main application container and the sidecar container.
- Ensure the sidecar container has appropriate resources and environment variables.
- Include any necessary ports or volume mounts for the sidecar container.
- UpdateStrategy: You might want to control the update strategy (RollingUpdate or Recreate) if you have multiple nodes.
2. Create the Daemonset Apply the Daemonset YAML file to your Kubernetes cluster using 'kubectl apply -f daemonset.yamr. This will create the DaemonSet and stan deploying tne pods on each node. 3. Verify Deployment: Use 'kubectl get daemonsetS to check the status of the DaemonSet. Verify that the pods are running on each node. 4. Testing and Monitoring: - Restart or Delete the Main App Pod: Observe how the sidecar container continues running alongside the main app pod, even when the main pod is restarted or deleted and recreated. - Check Logs If your sidecar container is responsible for logging, use 'kubectl logs to check the logs from the sidecar container This approach ensures that the sidecar container remains in a ready state on each node and is always available to support your application pod, fulfilling the requirements for logging and monitoring even when the main pod restarts or is recreated.
NEW QUESTION # 141
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