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| Section | Weight | Objectives |
|---|---|---|
| Application Design and Build | 20% | - Define, build and modify container images - Utilize persistent and ephemeral volumes - Choose and use the right workload resource (Deployment, DaemonSet, CronJob, etc.) - Understand multi-container Pod design patterns (e.g., sidecar, init and others) |
| 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% | - Utilize container logs - Debugging in Kubernetes - Use built-in CLI tools to monitor Kubernetes applications - Understand API deprecation policies - Implement probes and health checks |
| Application Deployment | 20% | - Kustomize - Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary) - Understand Deployments and how to perform rolling updates - Use the Helm package manager to deploy existing packages |
| Application Environment, Configuration and Security | 25% | - SecurityContexts - Discover and use resources that extend Kubernetes (CRD, Operators) - ConfigMaps and Secrets - ServiceAccounts - Understand authentication, authorization and admission control - Understanding and defining resource requirements, limits and quotas |
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NEW QUESTION # 76
You need to configure a Kubemetes Deployment to use a service account to access resources in a specific namespace. How can you create and assign a service account to your deployment, and how can you configure the service account to access resources in a different namespace?
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 in the namespace where your deployment will run:
- Apply this YAML file using: bash kubectl apply -f service-account-yaml 2 Create a Role and Role8inding: - Define a role in the target namespace that the service account should have access to:
- Create a RoleBinding to bind the role to the service account:
- Apply the Role and Role8inding YAML files using: bash kubectl apply -f role-yaml kubectl apply -f rolebinding.yaml 3. Modify your Deployment: - Update your Deployment YAML file to use the service account:
- Apply the updated deployment 4. Verify Access: - You can now use the service account to access resources in the target namespace. For example, you can create a pod that uses the service account and run a command to access resources.
NEW QUESTION # 77
You have a Deployment named 'my-app-deployment' running an application that requires a specific version of a database. This version is available in a private Docker registry with access credentials stored in a Secret. How would you configure the Deployment to pull the database image from the private registry using the Secret's credentials?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Secret:
- Create a secret containing the usemame and password required to access the private registry.
- Replace 'your-registry-username' and 'your-registry-password' with your actual credentials.
2. Update the Deployment - Modify the Deployment configuration to include the 'imagePullSecrets' field. - Add the name oftne secret you created in the previous step. - Replace 'your-private-registry-domain/your-database-image:your-version' with the actual image name and version.
3. Apply the Changes: - Apply the updated Deployment configuration using 'kubectl apply -f my-app-deployment.yamr. 4. Verify the Pull: - Check the logs of the Pods in the Deployment. You should see messages indicating that the database image is pulled from the private registry using the provided credentials.
NEW QUESTION # 78
You have a Deployment named 'wordpress-deployment' that runs 3 replicas of a WordPress container. You need to implement a persistent volume claim (PVC) for each pod that stores the website data, and you want to ensure that the data persists even if the pod is deleted or restarted. The PVC should be created using a storage class named 'standard' with a capacity of 10Gi.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Create a Storage Class:
- Create a 'standard' storage class:
- Apply the YAML file: bash kubectl apply -f standard-storage-class-yaml 2. Create a Persistent Volume Claim: - Create a PVC named 'wordpress-pvc' with a request for IOGi storage and using the 'standard' storage class:
- Apply the YAML file: bash kubectl apply -f wordpress-pvc.yaml 3. Update the Deployment - Update the Swordpress-deployment' YAML file to mount the PVC to each pod:
- Apply the updated YAML file: bash kubectl apply -f wordpress-deployment_yaml 4. Verify the Deployment - Check the status of the deployment using 'kubectl get deployments wordpress-deployment' to confirm the rollout and updated replica count. - Use 'kubectl describe pods -l app=wordpress' to confirm that each pod is using the 'wordpress-pvc' and the website data is stored in the persistent volume. - You can now access the WordPress website through the service that is associated with the Deployment. 5. Test Data Persistence: - Delete or restan one of the pods in the deployment. - Observe that the website data remains intact because the PVC is persistent and the data is stored in the underlying volume.,
NEW QUESTION # 79
You are running a Deployment for a database service with 3 replicas. You want to ensure that only one pod is updated at a time, but you need to guarantee that the database service remains available throughout tne update process. How would you configure the Deployment to achieve this?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAMLI
- Update the 'replicas' to 3.
- Define 'maxiJnavailable: 1 ' and 'maxSurge: O' in the 'strategy-rollingupdate' section to control the rolling update process.
- Use a 'readiness probe' within your container definition to ensure that the pod is considered ready only when tne database is successfully started and connected.
- Configure a 'strategy-type' to 'RollingUpdate' to trigger a rolling update when the deployment is updated.
2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f database-deployment-yamp 3. Verify the Deployment - Check the status of the deployment using 'kubectl get deployments database-deployment to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Pusn a new image to the Docker Hub repository. 5. Monitor the Deployment - Use 'kubectl get pods -l to monitor the pod updates during the rolling update process. You will observe that only one pod is terminated at a time. The readiness probe will ensure that a new pod is only considered ready when it's successfully connected to the database. 6. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment database-deployment to see that the 'updatedReplicas' field matches the 'replicas' field, indicating a successful update.,
NEW QUESTION # 80
You have a Deployment named 'my-app-deployment' running three replicas of an application container. You need to implement a rolling update strategy were only one pod is updated at a time. Additionally, you need to ensure tnat tne update process is triggered automatically whenever a new image is pushed to your private Docker registry.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAML:
- Update the 'replicas' to 2.
- Define 'maxunavailable: 1' and 'maxSurge: O' in the 'strategy-rollinglJpdate' section to control the rolling update process.
- Configure a 'strategy.types to 'Rollingupdates to trigger a rolling update wnen the deployment is updated.
- Add a 'spec-template.spec.imagePullP01icy: Always' to ensure tnat tne new image is pulled even if it exists in the pod's local cache.
- Add a 'spec-template-spec-imagePullSecrets' section to provide access to your private Docker registry. Replace 'registry-secret with the actual name of your secret.
2. Create the Deployment - Apply the updated YAML file using 'kubectl apply -f my-app-deployment.yamr 3. Verify the Deployment: - Check the status of the deployment using 'kubectl get deployments my-app-deployment' to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Push a new image to your private Docker registry with a tag like 'your-private-registry.com/your-namespacemy-app:latest. 5. Monitor the Deployment: - Use 'kubectl get pods -l app=my-apps to monitor the pod updates during the rolling update process. You will observe that one pod is terminated at a time, while one new pod with the updated image is created. 6. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment my-app-deployment' to see that the updatedReplicas' field matches the 'replicas' field, indicating a successful update. ]
NEW QUESTION # 81
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