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| Section | Weight | Objectives |
|---|---|---|
| Application Observability and Maintenance | 15% | - Debug applications in Kubernetes - Monitor applications using CLI tools - Understand API deprecations - Implement probes and health checks - Work with container logs |
| Application Environment, Configuration and Security | 25% | - Work with ConfigMaps - Configure resource requirements, limits and quotas - Understand authentication, authorization and admission control - Use custom resources and extensions - Create and consume Secrets - Apply application security settings - Use ServiceAccounts |
| Application Deployment | 20% | - Implement deployment strategies - Use Helm package manager - Work with Kustomize - Manage Deployments, rolling updates and rollbacks |
| Services and Networking | 20% | - Expose applications via Services - Understand and apply NetworkPolicies - Troubleshoot network access - Use Ingress rules |
| Application Design and Build | 20% | - Utilize persistent and ephemeral volumes - Define, build and modify container images - Understand multi-container Pod design patterns - Choose and use appropriate workload resources |
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NEW QUESTION # 12
You are building a system for scheduling daily backups of a critical database. The backup process involves running a script that connects to the database, extracts tne data, and saves it to an S3 bucket. How would you utilize Kubernetes JobS to automate this backup process and ensure it runs every day at 2:00 AM?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Job YAML file.
- Replace 'your-backup-script-image:latest With the actual image name of your backup script. - Replace 'your-backup-script.sn' with the actual name Of your backup script. - Replace saws-secret' with the name of the Kubernetes secret holding your AWS credentials (see step 2). - 'restartPolicy: Never ensures the job runs only once. 2. Create a Secret for AWS Credentials:
- Replace ''and'' With your actual AWS credentials. 3. Create a CronJob YAML file:
- Adjust the 'schedules to your desired daily execution time. - Ensure the 'jobTemplate' matches the Job YAML definition. 4. Apply the YAML files: - Use 'kubectl apply -f job.yamr and 'kubectl apply -f cronjob.yamr to create the Job and CronJob on your cluster 5. Verify the CronJob: - Use ' kubectl get cronjobs' to check the status of the CronJob- - You should see the CronJob running and triggering the Job at the specified time.
NEW QUESTION # 13
You have a Deployment named 'wordpress-deployment' that runs a WordPress application. You want to ensure that Kubernetes automatically restarts pods if tney experience an unexpected termination, such as a container crasn. Implement the necessary configuration for your deployment.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Update the Deployment YAML:
- Add the 'restartpolicy: Always to the 'spec.template_spec.containers' section of your Deployment YAML. This ensures that the pod will always be restarted if a container terminates unexpectedly.
2. Apply the Deployment - Apply the updated Deployment YAML using: bash kubectl apply -f wordpress-deployment-yaml 3. Test the Restart Policy: - Simulate a container crash within a pod (e.g., by sending a SIGKILL Signal to the container). - Observe the pod status using 'kuactl get pods -l app=wordpress' . You snould see the pod being automatically restarted, and the 'STATUS should become 'Running' again. Important Note: - The restaAPolicy: Always' is the default setting for Kubernetes deployments. By explicitly adding it to your YAML, you ensure that this behavior is documented and consistent within your deployment configuration.,
NEW QUESTION # 14
Exhibit:
Context
A web application requires a specific version of redis to be used as a cache.
Task
Create a pod with the following characteristics, and leave it running when complete:
* The pod must run in the web namespace.
The namespace has already been created
* The name of the pod should be cache
* Use the Ifccncf/redis image with the 3.2 tag
* Expose port 6379
Answer: A
NEW QUESTION # 15
You have a Deployment running a container image for a web application. The application's configuration files are currently stored within the image itself. you want to move the configuration files to a ConfigMap so that they can be updated independently or the application image. Describe the steps involved in modifying the Deployment and creating a ConfigMap to achieve this separation.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a ConfigMap:
- Create a ConfigMap using 'kubectl create configmap' with the configuration files. For example:
kubectl create configmap webapp-config -from-literal=config.json='{"port": 8080, "database_url": "mongodb://localhost27017"}'
- Replace 'config_json' with the name of your configuration file and the JSON content with your actual configuration values.
2. Modify the Deployment:
- Modify your Deployment YAML file to mount the ConfigMap as a volume. Here's an example:
- Modify your application code to read configuration files from '/etctwebapp/config' 3. Apply the Changes: - Apply the updated Deployment using 'kubectl apply -f deployment_yamr 4. Verify the Update: - Check the logs of the pods using 'kubectl logs -f You should see the application loading configuration values from the ConfigMap. 5. Update the Configuration: - You can now update the configuration files within the ConfigMap without rebuilding the image. For example.
- This will update the ConfigMap and trigger a rolling update of the Deployment, effectively updating the application configuration without rebuilding the image.
NEW QUESTION # 16
You are running a multi-container application on Kubernetes, and you need to update the image of a specific container within the pod without affecting the other containers. You are using a Deployment resource to manage the pods. How can you achieve this update using imperative commands?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify the Pod:
- Use 'kubectl get pods -l to list the pods managed by your deployment. Replace
- Identify the pod that needs the container image update.
2. Identify the Container:
- Use ' kubectl describe pod to display the pod's details, including its containers.
- Note the name of the container you want to update.
3. Update the Container Image:
with the label you've defined for your deployment.
- Use 'kubectl exec -it -container bash' to create an interactive shell within the specified container.
- Inside the shell, update the image for the container using 'docker pull ' (Replace with the new container image you want to use).
- Exit the shell using 'exit
4. Restart the Container:
- Use 'kubectl exec -it -container bash' to access the container again.
- Run 'docker restan to restart the container with the new image.
- Exit the shell using 'exit'.
5. Verify the Image Update:
- Run 'kubectl describe pod to check the updated pod details. Verify that the container image iS now the new one you pulled.
Note: This approach updates the container image in the existing pod. If you want to apply the update to all pods managed by the Deployment, you'll need to update the Deployment configuration itself. ,
NEW QUESTION # 17
......
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