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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Deployment | 20% | - Manage Deployments, rolling updates and rollbacks - Implement deployment strategies - Use Helm package manager - Work with Kustomize |
| Topic 2: Application Observability and Maintenance | 15% | - Implement probes and health checks - Debug applications in Kubernetes - Work with container logs - Monitor applications using CLI tools - Understand API deprecations |
| Topic 3: Services and Networking | 20% | - Understand and apply NetworkPolicies - Expose applications via Services - Use Ingress rules - Troubleshoot network access |
| Topic 4: Application Environment, Configuration and Security | 25% | - Apply application security settings - Create and consume Secrets - Work with ConfigMaps - Use ServiceAccounts - Use custom resources and extensions - Understand authentication, authorization and admission control - Configure resource requirements, limits and quotas |
| Topic 5: 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 |
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NEW QUESTION # 205
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 # 206 
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 See the solution below.
Answer:
Explanation:
Solution:
NEW QUESTION # 207
You are deploying a web application with a separate database container. You need to implement a proxy container that handles requests from the web server and forwards them to the database container. The proxy container should also log all incoming requests to a dedicated log file within the Pod.
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 the web server, database, and proxy containers.
2. Configure the Proxy Container: Choose a suitable proxy container image (e.g., Nginx, HAProxy) and configure it to forward requests from port 8080 to the database container on port 5432 3. Implement Logging: Configure the proxy container to log incoming requests to the '/var/log/proxy' directory. You can use the proxy container's built- in logging facilities or install a separate logging agent within the container. 4. Deploy the Pod: Apply the Pod YAML using ' kubectl apply -f my-app-pod_yaml' 5. Verify Functionality: Access the web server container on port 80 and ensure requests are forwarded to the database container Check the log file ' Ivar/log/proxys to verify that requests are being logged. Note: This solution demonstrates using a proxy container to manage communication between different containers within a Pod. You can customize the proxy's configuration based on your specific application's requirements.,
NEW QUESTION # 208
You have a Deployment that runs a critical service with 5 replicas. You need to update the service with a new image, but you want to ensure that only one replica is unavailable at a time during the update process. You also want to control how long the update process can take. How would you implement this using the 'rollinglJpdate' strategy?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAMLI
- Set 'strategy.type' to 'RollingLJpdate'
- Configure 'strategy.rollingupdate.maxunavailable' to 'I' to limit the number of unavailable replicas during the update.
- Set 'strategy-rollinglJpdate.maxSurge' to to allow for a maximum of six replicas during the update process.
2. Control Update Duration (Optional): - Optionally, you can use 'strategy-rollingUpdate.partition' to control the number of pods updated at a time. This allows you to slow down the update process by updating fewer pods at once- For example, setting 'partition' to ' 2' would update only two pods at a time.
3. Create or IJpdate the Deployment: - Apply the updated YAML file using 'kubectl apply -f my-critical-service-deployment.yaml' 4. Trigger the Update: - Update the image of your application to a newer version. - You can trigger the update by pushing a new image to your container registry. 5. Monitor the Update: - Use 'kubectl get pods -I app=my-critical-service to monitor the pod updates during the rolling update process. - Observe the pods being updated one at a time, ensuring that there's always at least four replicas available. 6. Check for Successful Update: - Once the update is complete, use 'kubectl describe deployment my-critical-service' to verify that the 'updatedReplicaS field matches the 'replicas' field.,
NEW QUESTION # 209
Refer to Exhibit.
Task:
Update the Pod ckad00018-newpod in the ckad00018 namespace to use a NetworkPolicy allowing the Pod to send and receive traffic only to and from the pods web and db
Answer:
Explanation:
Solution:
NEW QUESTION # 210
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