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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Environment, Configuration and Security | 25% | - Configure resource requirements, limits and quotas - Work with ConfigMaps - Use ServiceAccounts - Create and consume Secrets - Understand authentication, authorization and admission control - Use custom resources and extensions - Apply application security settings |
| Topic 2: Application Observability and Maintenance | 15% | - Work with container logs - Monitor applications using CLI tools - Understand API deprecations - Implement probes and health checks - Debug applications in Kubernetes |
| Topic 3: Application Deployment | 20% | - Implement deployment strategies - Work with Kustomize - Manage Deployments, rolling updates and rollbacks - Use Helm package manager |
| Topic 4: Application Design and Build | 20% | - Utilize persistent and ephemeral volumes - Define, build and modify container images - Choose and use appropriate workload resources - Understand multi-container Pod design patterns |
| Topic 5: Services and Networking | 20% | - Troubleshoot network access - Expose applications via Services - Understand and apply NetworkPolicies - Use Ingress rules |
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NEW QUESTION # 214 
Task:
1- Update the Propertunel scaling configuration of the Deployment web1 in the ckad00015 namespace setting maxSurge to 2 and maxUnavailable to 59
2- Update the web1 Deployment to use version tag 1.13.7 for the Ifconf/nginx container image.
3- Perform a rollback of the web1 Deployment to its previous version
Answer:
Explanation:
See the solution below.
Explanation:
Solution:
NEW QUESTION # 215
You are tasked with creating a highly available, scalable, and stateful application that handles user profiles and associated dat a. The application must be able to handle high write and read traffic and ensure data consistency. Which Kubernetes resource is best suited tor this scenario and why? Additionally, provide a code snippet illustrating the deployment of this resource with three replicas, each storing user data in a persistent volume.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify the Suitable Resource:
- The best Kubernetes resource for this scenario is a StatefulSet.
- StatefulSets provide unique network identities and persistent storage for each pod, making them ideal for stateful applications. They ensure ordered deployments and rollbacks, guaranteeing that pods are always launched in a specific order and with consistent data
2. Code Snippet
- StatefulSet Definition: Defines the StatefulSet With the name "user-profile-app", sets the replica count to 3, and defines a selector that matches pods with the label "app: user-profile-app". - Service Definition: Sets up a service named "user-profile-service" that exposes the application on port 8080. - Template: Defines tne pod template for each replica. - Container: Specifies the container image, port mapping, and volume mounting for the user datm - Volume Mounts: Mounts the persistent volume claim "user-data" to the ' Idata' directory inside the container. - Volumes: Defines tne persistent volume claim "user-data" which is linked to a PersistentVolumeClaim named "user-data-pvc." - PersistentVolumeClaim: Defines a PersistentVolumeClaim named "user-data-pvc" to request a persistent volume with 1 Gi storage- 4. Deployment Steps: - Create the PersistentVolumeClaim (PVC) using kubectl apply -f user-profile-app.yamr - Create the StatefulSet using 'kuactl apply -f user-profile-app.yaml' - Access the application through the service name "user-profile-service" This setup creates a highly available and scalable application that ensures data persistence and consistency across three replicas. ]
NEW QUESTION # 216
You have a Deployment named that runs 3 replicas of a Wordpress container. You need to implement a rolling update strategy that allows for a maximum or two pods to be unavailable at any given time during the update process. Additionally, you want to ensure that the update process is triggered automatically whenever a new image is pushed to the Docker Hub repository 'wordpress/wordpress:latest'.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. IJPdate the Deployment YAMLI
- Update the 'replicas to 2.
- Define 'maxunavailable: 2 and 'maxSurge: O' in the 'strategy.rollingupdate' section to control the rolling update process.
- Configure a 'strategy-type' to 'RollinglJpdate' to trigger a rolling update when the deployment is updated.
- Add a 'spec-template-spec-imagePullPolicy: Always" to ensure that the new image is pulled even if it exists in the pod's local cache.
2. Create the Deployment - Apply the updated YAML file using 'kubectl apply -f wordpress-deploymentyamr 3. Verify the Deployment: - Check the status of the deployment using 'kubectl get deployments wordpress-deployment to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Push a new image to the 'wordpress/wordpress:latest' Docker Hub repository. 5. Monitor the Deployment: - Use 'kubectl get pods -l app=wordpress' to monitor the pod updates during the rolling update process. You will observe that two pods are terminated at a time, while two new pods with the updated image are created. 6. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment wordpress-deployment' to see that the 'updatedReplicas' field matches the 'replicas' field, indicating a successful update.
NEW QUESTION # 217
You have a microservice application that relies on a Redis cacne for data retrieval. Design a multi-container Pod that incorporates a Redis sidecar container to provide local caching within the Pod. Ensure that the main application container can access the Redis sidecar container within the same Pod Namespace Without needing to communicate with an external Redis cluster.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the Pod YAML: Create a Pod YAML file that includes both the main application container and the Redis sidecar container.
2. Configure Environment Variables: Set an environment variable 'REDIS HOST within the main application container to point to the Redis sidecar containers hostname- In Kubernetes, containers within the same Pod can communicate with each other using their container names. 3. Connect Application to Redis: Modifry' the application code to connect to the Redis instance using the 'REDIS HOST environment variable. For example, using a Python application with the 'redis-py' library: python import redis r = redis-Redis(host=os.environ.get('REDlS_HOST'), port=6379) # Perform Redis operations (e.g., r.set('key', 'value')) 4. Deploy the Pod: Apply the Pod YAML using 'kubectl apply -f my-app-pod.yamr 5. Verify Connectivity: Check the logs of the main application container to ensure it's successfully connecting to the Redis sidecar container Note: This approach provides local caching within the Pod, reducing external network calls and improving performance. It's important to consider potential data consistency issues if multiple Pods share the same Redis instance.
NEW QUESTION # 218 
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:
Explanation
Solution:
NEW QUESTION # 219
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