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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Observability and Maintenance | 15% | - Implement probes and health checks - Monitor applications using CLI tools - Understand API deprecations - Work with container logs - Debug applications in Kubernetes |
| Topic 2: Application Deployment | 20% | - Implement deployment strategies - Manage Deployments, rolling updates and rollbacks - Use Helm package manager - Work with Kustomize |
| Topic 3: Application Environment, Configuration and Security | 25% | - Create and consume Secrets - Work with ConfigMaps - Understand authentication, authorization and admission control - Use custom resources and extensions - Apply application security settings - Use ServiceAccounts - Configure resource requirements, limits and quotas |
| Topic 4: Services and Networking | 20% | - Troubleshoot network access - Use Ingress rules - Understand and apply NetworkPolicies - Expose applications via Services |
| Topic 5: Application Design and Build | 20% | - Define, build and modify container images - Understand multi-container Pod design patterns - Choose and use appropriate workload resources - Utilize persistent and ephemeral volumes |
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NEW QUESTION # 132 
Task:
Create a Deployment named expose in the existing ckad00014 namespace running 6 replicas of a Pod. Specify a single container using the ifccncf/nginx: 1.13.7 image Add an environment variable named NGINX_PORT with the value 8001 to the container then expose port
8001
Answer:
Explanation:
See the solution below.
Explanation
Solution:
Text Description automatically generated
Text Description automatically generated
NEW QUESTION # 133
You are running a Kubernetes cluster that manages a critical web application. Your application uses a custom resource called 'Database' to represent database instances. You want to ensure that only authorized users within your organization can create and manage these database instances. How would you implement this using ServiceAccounts and Role-Based Access Control (RBAC)?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a ServiceAccount:
- Create a ServiceAccount specifically for managing database instances. This ServiceAccount will be assigned to the users authorized to work with databases.
- Apply the ServiceAccount to your cluster using 'kubectl apply -f serviceAccount.yamI' 2. Create a Role: - Define a Role to specify the permissions that the 'database-manager' ServiceAccount should have. This Role will allow the ServiceAccount to create, update, delete, and list 'Database custom resources.
- Apply the Role using 'kubectl apply -f role.yamr 3. Bind the Role to the ServiceAccount - Use a RoleBinding to link the 'database-managers ServiceAccount to the 'database-manager-roles
- Apply the RoleBinding using 'kubectl apply -f roleBinding.yaml' 4. Use the ServiceAccount: - When users need to manage database instances, they should authenticate to the Kubernetes cluster using credentials associated with the 'database-manager ServiceAccount This will grant them the permissions defined in the Role. - Example: - 'kubectl create database my-database Important Notes: - Replace "'your-group"' and '"your-namespace"' with the actual values for your custom resource and namespace, respectively. - You might need to create a ClusterRole instead of a Role if you want the permissions to apply across all namespaces in your cluster. - This example assumes you've already defined the CustomResourceDefinition (CRD) for the 'Database' resource.]
NEW QUESTION # 134
You have a Kustomization file that uses a resource patch to modify the deployment of an Nginx service. The patch uses the field to set the CPLJ request for the container to 500m. However, you've noticed that this patch is no longer working as expected. You've been informed that the field has been deprecated and replaced with a new field structure in newer Kubernetes API versions. Explain how to update the Kustomization file to accommodate this change, ensuring compatibility with both older and newer Kubernetes versions.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify tne New Field Structure: Research the updated field structure for container resource definitions in the newer Kubernetes API version. The new structure likely utilizes nested resource fields for each container, like instead of a flat structure.
2. Update the Kustomization Patch: Modify the resource patch in your Kustomization file to use the updated field structure. If the newer field structure is 'spec-template-spec-containers[l.resources.requests.cpu' , update your patch accordingly. This could involve changing the patch's path or using a different patch strategy, such as a strategic merge patch.
3. Consider Conditional Patches: If you need to support both older and newer Kubernetes versions, utilize conditional patches in your Kustomization file. This allows you to apply different patcnes based on the Kubernetes API version detected. You can use Kustomize's 'patchJson6902' strategy With a conditional statement to apply the correct patch depending on the API version.
4. Test the Updated Kustomization: Deploy your Kustomization to a cluster running both older and newer Kubernetes versions. Validate that the CPU requests are correctly applied to the Nginx deployment containers in each version. Verify that the patcnes are being applied appropriately based on the detected Kubernetes API version. 5. Document Changes: Ensure that the updated Kustomization file and any conditional logic are well-documented to prevent future confusion or errors when deploying to different Kubernetes environments. By following these steps, you can successfully update your Kustomization file to accommodate the deprecated field structure and ensure compatibility with different Kubernetes API versions. This will allow you to manage and configure your deployments effectively, even as Kubernetes evolves.
NEW QUESTION # 135 
Task
Create a new deployment for running.nginx with the following parameters;
* Run the deployment in the kdpd00201 namespace. The namespace has already been created
* Name the deployment frontend and configure with 4 replicas
* Configure the pod with a container image of lfccncf/nginx:1.13.7
* Set an environment variable of NGINX__PORT=8080 and also expose that port for the container above
Answer:
Explanation:
See the solution below.
Explanation:
Solution:
NEW QUESTION # 136
You have a Kustomization file that defines a Deployment with two replicas. You want to configure the deployment to use a different image tag based on the environment it is deployed to- For example, in the 'dev' environment, the image tag should be 'example/nginx:dev' , while in the 'prod' environment, it should be 'example:nginx:prod'. Describe how to achieve this using Kustomize.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a base Kustomization file:
resources :
- deployment. yaml
2. Create a deployment-yaml file:
3. Create environment-specific overlays: - For dev environment
- For prod environment:
4. Create a patch.yaml file:
5. Apply Kustomize: - For dev environment: bash Kustomize dev I oubect1 apply -f - - For prod environment: bash Kustomize prod I oubect1 apply -f - - The base customization file defines the resources that are included in the deployment. - The environment-specific overlays patch the base resources With the appropriate image tag. - The patchesStrategicMerge' field applies the patch.yaml tile to the deployment. - The '{{.environment}Y placeholder in the patch file is replaced with the actual environment name when Kustomize is applied. This approach allows you to easily manage and deploy your applications to different environments with specific configuration settings.
NEW QUESTION # 137
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