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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Deployment | 20% | - Use Helm package manager - Implement deployment strategies - Manage Deployments, rolling updates and rollbacks - Work with Kustomize |
| Topic 2: Application Environment, Configuration and Security | 25% | - Use custom resources and extensions - Work with ConfigMaps - Apply application security settings - Use ServiceAccounts - Understand authentication, authorization and admission control - Configure resource requirements, limits and quotas - Create and consume Secrets |
| Topic 3: Services and Networking | 20% | - Use Ingress rules - Troubleshoot network access - Understand and apply NetworkPolicies - Expose applications via Services |
| Topic 4: Application Design and Build | 20% | - Utilize persistent and ephemeral volumes - Choose and use appropriate workload resources - Define, build and modify container images - Understand multi-container Pod design patterns |
| Topic 5: Application Observability and Maintenance | 15% | - Monitor applications using CLI tools - Debug applications in Kubernetes - Work with container logs - Understand API deprecations - Implement probes and health checks |
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NEW QUESTION # 58
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 # 59
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 # 60
You have a Deployment named 'wordpress-deployment' that runs 3 replicas of a Wordpress container. You need to set up resource requests and limits for CPU and memory for each pod. The application requires a minimum of 250m CPU and 512Mi memory, but it should not exceed 500m CPU and IGi memory. Furthermore, implement a resource quota for the swordpress' namespace to ensure that the total CPU requests and limits do not exceed 2 CPIJ and 4Gi memory, respectively.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAML:
- Add 'resources' to the 'containers' section, setting 'requests' and 'limits' for both CPIJ and memory.
- The 'requests' should be set to the minimum required resources, and 'limits' to the maximum allowed.
2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f wordpress-deployment-yamr 3. Create a Resource Quota: - Create a ResourceQuota YAML file named 'wordpress-quota.yaml' with the following contents:
4. Apply the Resource Quota: - Apply the ResourceQuota YAML file using 'kubectl apply -f wordpress-quota.yamr. 5. Verify the Deployment and Quota: - Check the status of the Deployment using 'kubectl get deployments wordpress-deployment' to confirm the updated resource requests and limits. - Use ' kubectl get resourcequotas -n wordpresS to verify the applied resource quota and its remaining limits- 6. Test Resource Limits: - Try to create a new Deployment or Pod in the 'wordpress' namespace that exceeds the resource quota limits. This should result in an error, ensuring the quota is enforced.
NEW QUESTION # 61
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 # 62
You are tasked with deploying a stateful application, a distributed database, that requires persistent storage and consistent ordering of pods. The application's pods need to communicate With each other using a specific port (5432). How would you configure a StatefulSet to achieve this?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create the StatefulSet YAML:
2. Create a PersistentVolumeClaim (PVC):
3. Apply the StatefulSet and PVC: bash kubectl apply -f statefulset.yaml kubectl apply -f pvc.yaml 4. Check the StatefuISet and Pods: bash kubectl get statefulsets my-database kubectl get pods -l app=my-database - StatefulSet This defines the desired state for the database pods, ensuring tneir order and persistent storage. - serviceName: This field defines the service name used to access the database instances. - replicas: Defines the desired number of database instances (3 in this example). - selector: Matches pods with the "app: my-database" label. - template: Defines the pod template to use for each instance. - containers: Contains the database container definition. - ports: Exposes the database's internal port (5432) to the outside world. - volumeMounts: Mounts the persistent volume claim to the container's storage directory. - volumes: Defines the volume to use, in this case, a persistent volume claim. - persistentVolumeClaim: Links the StatefulSet to the PVC- - PVC (my-database-pvc): Requests a persistent volume of 1 Gi for each database pod. This ensures data persistence between restarts. - accessM0des: ReadWriteOnce: Allows only one pod to access the volume at a time. - resources-requests-storage: Specifies the storage request for each PVC- This setup ensures that each database pod: - Has a unique name based on its ordinal position within the StatefulSet - Has persistent storage using the PVC. - Can communicate with otner pods through the defined service. - Maintains consistent ordering, essential for distributed database functionality
NEW QUESTION # 63
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