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| Section | Objectives |
|---|---|
| Topic 1: Services and Networking | - Pod networking concepts - Ingress basics - Services (ClusterIP, NodePort) |
| Topic 2: Application Design and Build | - Understand multi-container Pod design patterns - Understand Jobs and CronJobs - Define, build and modify container images |
| Topic 3: Application Observability and Maintenance | - Understand probes and health checks - Monitor and troubleshoot applications |
| Topic 4: Application Environment, Configuration and Security | - ConfigMaps and Secrets usage - Security contexts and service accounts |
| Topic 5: State Persistence | - Storage classes and volume mounting - PersistentVolumes and PersistentVolumeClaims |
| Topic 6: Application Deployment | - Use Kubernetes primitives to implement deployments - Understand rolling updates and rollbacks |
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NEW QUESTION # 66
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 # 67
You are deploying a resource-intensive application that requires a large amount of memory and CPU. How would you create a ResourceQuota to limit the resources consumed by this application and prevent it from impacting other workloads in the cluster?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Define the ResourceQuota:
- Create a ResourceQuota object named resource-limit' in the namespace where the application is deployed.
- Set the resource limits for the application by specifying the maximum allowed requests for CPU and memory.
- You can also set limits for other resources, such as pods and services.
2. Apply the ResourceQuota: - Apply the ResourceQuota configuration using 'kubectl apply -f resource-limit.yaml' 3. Test the Resource Limits. - Try to create or scale the resource-intensive application beyond the defined limits. - You should receive an error indicating that the ResourceQuota has been exceeded.
NEW QUESTION # 68
You're building a containerized application that needs access to a database running outside of the Kubernetes cluster You need to implement a service account With specific permissions to access tne external database using an API key.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Service Account:
- Create a service account YAML file named 'database-service-account.yamr with the following contents:
2. Create a Secret for the API Key: - Create a secret YAML file named 'database-api-key.yaml with the following contents:
3. Create a Role and Role8inding: - Create a Role YAML file named 'database-role.yaml with the following contents:
4. Create a ROIeBinding YAML: - Create a RoleBinding YAML file named 'database-rolebinding.yamr with the following contents:
5. Apply the YAML Files: - Apply the created YAML files using 'kubectl apply -f database-service-account.yamr , 'kubectl apply -f database-api-key.yamr, ' kubectl apply -f database-role.yamr , and 'kubectl apply -f database-rolebinding.yamr 6. Update your Deployment: - Update your application deployment to use the 'database-service-account and mount the secret containing the API key.
7. Access the External Database: - Your application container should now be able to access the external database using the API key provided in the secret.
NEW QUESTION # 69
Context
Task:
Create a Pod named nginx resources in the existing pod resources namespace.
Specify a single container using nginx:stable image.
Specify a resource request of 300m cpus and 1G1 of memory for the Pod's container.
Answer:
Explanation:
Solution:
NEW QUESTION # 70
You have a Kubernetes deployment named 'myapp-deployment' that runs a container with a 'requirements.txt' file that lists all the dependencies. How can you use ConfigMaps to manage these dependencies and dynamically update the container with new dependencies without rebuilding tne image?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a ConfigMap named 'myapp-requirements':
2 Apply the ConfigMap: basn kubectl apply -f myapp-requirements_yaml 3. Update the 'myapp-deployment' Deployment to use the ConfigMap:
4. Apply the updated Deployment: bash kubectl apply -f myapp-deployment.yaml 5. Test the automatic update: - Modify the 'myapp-requirements' ContigMap: bash kubectl edit configmap myapp-requirements Add or remove dependencies from the 'requirements.txt' file in the ConfigMap. - Verity the changes in the pod- bash kubectl exec -it bash -c 'pip freeze' Replace with the name of the pod. The output will show the installed dependencies. This solution enables you to manage dependencies dynamically without rebuilding the container image. Whenever you make changes to the 'myapp- requirements' ConfigMap, the deployment will automatically pull the updated dependencies and install them Within the container.
NEW QUESTION # 71
......
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