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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Environment, Configuration and Security | 25% | - ServiceAccounts - Understanding and defining resource requirements, limits and quotas - Understand authentication, authorization and admission control - Discover and use resources that extend Kubernetes (CRD, Operators) - ConfigMaps and Secrets - SecurityContexts |
| Topic 2: Services and Networking | 20% | - Provide and troubleshoot access to applications via services - Demonstrate basic understanding of NetworkPolicies - Use Ingress rules to expose applications |
| Topic 3: Application Observability and Maintenance | 15% | - Utilize container logs - Use built-in CLI tools to monitor Kubernetes applications - Understand API deprecation policies - Implement probes and health checks - Debugging in Kubernetes |
| Topic 4: Application Deployment | 20% | - Understand Deployments and how to perform rolling updates - Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary) - Use the Helm package manager to deploy existing packages - Kustomize |
| Topic 5: Application Design and Build | 20% | - Utilize persistent and ephemeral volumes - Choose and use the right workload resource (Deployment, DaemonSet, CronJob, etc.) - Define, build and modify container images - Understand multi-container Pod design patterns (e.g., sidecar, init and others) |
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NEW QUESTION # 72
Refer to Exhibit.
Context
Your application's namespace requires a specific service account to be used.
Task
Update the app-a deployment in the production namespace to run as the restrictedservice service account. The service account has already been created.
Answer:
Explanation:
Solution:
NEW QUESTION # 73
You have a container image that contains a Python application. The application depends on specific libraries that are not included in the base image used for the container. Describe the steps involved in modifying the image to install the necessary libraries Without rebuilding the entire application.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Dockerfile:
- Create a new 'Dockerfile' with the following content
- Replace 'existing-image:latest' with the name of your current container image. - Replace 'requirements-txt' with the name of your file containing the list of Python libraries. 2. Build the Image: - Build the new image using the Dockerfile: docker build -t updated-image:latest 3. Update the Deployment - Modify your Deployment YAML file to use the newly built image:
4. Apply the Changes: - Apply the updated Deployment using Skubectl apply -f deployment.yamr. This will trigger a rolling update to the pods using the new image. 5. Verify the Update: - Check the logs of the pods using 'kubectl logs -f . You should see the application running with the installed libraries. 6. Test the Application: - Access your application and ensure it functions correctly with the new libraries.
NEW QUESTION # 74
You are developing a microservices application and want to deploy it to Kubernetes using Helm. You have two services: 'user-service and 'order-service. The 'order-service depends on the "user-service'. How would you use Helm to manage these deployments, ensuring that the 'order- service' only starts after the 'user-service' is successfully deployed and running?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Helm Chart for Each Service:
- 'user-service' chart:
- Create a 'values.yamr file for the 'user-service' chart.
- Define the container image, resources, and any other necessary configurations for the 'user-service'.
- 'order-service' chart:
- Create a 'values-yamr file for the 'order-service' chart
- Define the container image, resources, and any other necessary configurations for the 'order-service'
- In tne 'values.yamr, add a dependency on the 'user-service' chart.
2. Configure Helm for Dependency Management: - Use the '-dependency-update' flag to ensure that Helm automatically updates the 'user-service chart before deploying the 'order-service' bash helm dependency update order-service 3. Deploy the Services Using Helm: - Deploy the 'user-service chart: bash helm install user-service Juser-service - Deploy the 'order-service' chart: bash helm install order-service ./order-service - Helm will automatically handle the dependency between the services, ensuring that the 'user-services is deployed before the 'order-service' 4. Verify Deployment and Dependency: - Use ' kubectl get pods -l app=user-service' and 'kubectl get pods -l app=order-service' to verify that the pods are running. - You Should observe that the 'user-service' pods are up and running before the 'order-services pods start. - You can also use 'kubectl describe pod' to see the pod events and confirm that the 'order-service' pod is waiting for the 'user-service' to be ready before starting.,
NEW QUESTION # 75
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 # 76
You are running a web application on Kubernetes, and you need to schedule a daily backup of your application's dat a. The backup process involves running a script that archives the database and uploads it to a remote storage service. Explain how you would implement this using a CronJ0b in Kubernetes. Provide a sample YAML configuration for the Cronjob.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Container Image:
- Create a Dockerfile that packages the backup script and any necessary dependencies into a container image-
- Build tne image and push it to a container registry (e.g., Docker Hub).
dockefflle
FROM ubuntu:latest
# Install necessary packages
RUN apt-get update && apt-get install -y zip
# Copy the backup script to the container
COPY backup.sh 'backup.sh
# Set entrypoint to the backup script
ENTRYPOINT ["/backup.sh"]
2. Create the CronJob YAML:
- Define the 'cronJob' resource in a YAML file. Specify the schedule, the container image, and the command to run.
3. Apply the CronJob: - Apply the YAML file to your Kubernetes cluster using 'kubectl apply -f cronjob.yamr 4. Verification: - Use 'kubectl get cronjobs' to check if the CronJob was successfully created- - Check the Kubernetes logs for the CronJob to ensure it's running as expected.
NEW QUESTION # 77
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