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| Section | Weight | Objectives |
|---|---|---|
| Application Deployment | 20% | - Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary) - Use the Helm package manager to deploy existing packages - Kustomize - Understand Deployments and how to perform rolling updates |
| Application Design and Build | 20% | - Choose and use the right workload resource (Deployment, DaemonSet, CronJob, etc.) - Understand multi-container Pod design patterns (e.g., sidecar, init and others) - Define, build and modify container images - Utilize persistent and ephemeral volumes |
| Application Environment, Configuration and Security | 25% | - SecurityContexts - Understand authentication, authorization and admission control - ConfigMaps and Secrets - Understanding and defining resource requirements, limits and quotas - ServiceAccounts - Discover and use resources that extend Kubernetes (CRD, Operators) |
| Services and Networking | 20% | - Use Ingress rules to expose applications - Provide and troubleshoot access to applications via services - Demonstrate basic understanding of NetworkPolicies |
| Application Observability and Maintenance | 15% | - Implement probes and health checks - Debugging in Kubernetes - Use built-in CLI tools to monitor Kubernetes applications - Understand API deprecation policies - Utilize container logs |
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NEW QUESTION # 171
You are managing a Kubernetes cluster that runs several microservices. One of these services, called "web-app", needs to have its pods scaled based on the current load. You have created a custom resource called "autoscaling.k8s.i0/v1 alphal" which represents the desired number of replicas for the "web-app" service- Implement a Kubernetes Controller that watches for changes in this custom resource and automatically scales the "web-app" Deployment accordingly.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create the Custom Resource Definition (CRD):
- Define the custom resource "autoscaling.k8s.io/v1alpha1" using the following YAML file:
- Apply the CRD using 'kubectl apply -f crd.yamr 2. Create the Custom Resource: - Create an instance of the custom resource 'Autoscaling" with the desired number of replicas for the "web-app" Deployment:
- Apply the custom resource using 'kubectl apply -t autoscaling-yamr 3. Create the Kubernetes Controller: - Create a Kubernetes Controller that watches for changes in the "Autoscaling" custom resource and updates the "web-app" Deployment.
4. Deploy the Controller: - Build and deploy tne controller to your Kubernetes cluster. 5. Verify the Controllers Functionality: - Make a change to the "Autoscaling" custom resource (e.g., increase the desired replicas). - Observe that the "web-app" Deployment is automatically scaled based on the new desired replica count. This code implements a basic Kubernetes Controller that monitors the "Autoscaling" custom resource. When the desired replicas are changed, the controller updates the "web-appt' Deployment, ensuring the desired number of replicas is maintained. Note: This example assumes that the "web-app" Deployment exists in the same namespace as the "Autoscaling" custom resource. You might need to adapt the code for different deployments and namespaces.,
NEW QUESTION # 172
You're working on a Kubernetes application that involves retrieving data from a database. You have a Deployment With multiple pods, each accessing the database directly. To improve the application's performance and reliability, you want to implement an adapter pattern that introduces a service layer to handle database interactions. This layer should be responsible for connection pooling, caching, and error handling, making the application more resilient to database outages.
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 for the application. This will be used by the service layer to access the database.
- Apply the service account to the cluster: 'kubectl apply -f db-setvice-account.yamr 2. Create a Role and Role8inding: - Create a role that grants tne necessary permissions to access the database.
- Create a role binding that associates the role with the service account
- Apply the role and role binding to the cluster: - 'kubectl apply -f db-access-role.yaml' - 'kubectl apply -f db-access-binding.yaml 3. Create the Service Layer Deployment: - Deploy the service layer component. This can be a containerized application that handles database interactions.
- Apply the deployment: 'kubectl apply -f db.-service-yaml 4. Create a Secret for Database Credentials: - Create a secret to store sensitive database credentials.
- Apply the secret 'kubectl apply -f db-credentials.yaml' 5. Create a Service for the Service Layer: - Create a service to expose the service layer to the application pods.
- Apply the service: 'kuoectl apply -f db-seMce.yaml' 6. Llpdate the Application Deployment: - Update the Deployment for your main application to use the service layer.
T Test and Verify' - Verify the changes: - Check the logs for both the service layer and the application. - Test your application's functionality. Note: - Ensure to replace placeholders like ''. ''. ''. ''. ''. ''. and with your actual values. - This is a basic example, and you may need to adjust the configuration based on your specific service layer and database implementation. ,
NEW QUESTION # 173
You are deploying a new microservice called 'payment-service' that requires access to a confidential data volume mounted at /sensitive- data'. This volume is mounted as a Secret in Kubernetes. The 'payment-service' container should only be allowed to access this volume. You need to configure the PodSecurityPolicy to enforce this access restriction.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Create a PodSecurityPoIicy:
- Create a YAML file for your P0dSecurityP01icy.
- Define the 'apiVersion' and 'kind'
- Add a 'metadata' section with a unique name for the policy (e.g., 'payment-service-psp').
- In the 'spec' section:
- Set 'runAsUser' to ' RunAsAny' to allow any user ID.
- Set readOnlyRootFilesystem' to 'talse' to allow modifications within the container.
- Set 'hostNetworR to 'false' to avoid using the host's network.
- Set 'allowPrivilegeEscalatiorU to 'false' to prevent privilege escalation.
- In the 'volumes' sectiom
- Define 'hostPath' as the allowed volume type with the specified path "Isensitive-data'
2. Apply the PodSecurityPolicy: - Use ' kubectl apply -f payment-service-psp.yamr to create the PodSecurityPoIicy in your cluster. 3. Create a ServiceAccount: - Create a new ServiceAccount tor the 'payment-service deployment. - Apply the ServiceAccount YAML file using 'kubectl apply -f payment-service-sa_yamr 4. Bind the PodSecurityPolicy to the ServiceAccount: - Create a RoleBinding to bind the 'payment-service-psp' to the 'payment-service' ServiceAccount - Apply the RoleBinding YAML file using "kubectl apply -f payment-service-rb.yaml'
5. Deploy the Payment Service: - Create the 'payment-service' Deployment configuration. - Specify the 'payment-service' ServiceAccount in the field. - Define the 'volumeMount tor the 'sensitive-data' volume and specify the corresponding 'volume' in the 'volumes' section. - Ensure the volume is mounted as a Secret from the 'default' namespace.
- The PodSecurityPolicy restricts the benavior of pods and their containers. - 'runAslJser' , 'readOnlyRootFilesystem', 'hostNetwork' , and sallowPrivilegeEscalation' define various security constraints for the container. - The 'volumes' section specifies allowed volume types (e.g., 'hostPath') and paths. - The ServiceAccount binds the PodSecurityPolicy to the deployment. - The ROIeBinding assigns the PodSecurityPolicy to the ServiceAccount, effectively enforcing the specified constraints. This configuration ensures that only the payment-service' deployment can access the confidential data volume mounted as a Secret in Kubernetes.
NEW QUESTION # 174
You have a container image that uses a specific version of a library. You want to update this library to a newer version while still keeping the previous version available for compatibility purposes. Describe the steps involved in modifying the container image to include both versions of the library 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 'your-library' Witn the actual library name. - Replace 'new-version' and 'old-version' witn tne desired versions. 2. Build the Image: - Build the image using tne DockerTlle: docker build -t updated-image:latest 3. Modify your application code: - Modify your application code to explicitly import the specific version of the library that you want to use. For example: python # Import the new version for new functionality from your_library impon new_functionality # Import the Old version for backward compatibility from your_library import old_functionality # Use the appropriate version of the library based on your requirements 4. IJpdate the Deployment - Modify your Deployment YAML file to use the newly built image:
5. Apply the Changes: - Apply the updated Deployment using kubectl apply -f deployment.yamr 6. Test the Application: - Access your application and ensure it functions correctly with both versions of the library.
NEW QUESTION # 175 
Task
A Deployment named backend-deployment in namespace staging runs a web application on port 8081.
Answer:
Explanation:
See the solution below.
Explanation:
Solution:
NEW QUESTION # 176
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