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| Section | Objectives |
|---|---|
| Application Design and Build | - Define, build and modify container images - Understand multi-container Pod design patterns - Understand Jobs and CronJobs |
| State Persistence | - Storage classes and volume mounting - PersistentVolumes and PersistentVolumeClaims |
| Application Observability and Maintenance | - Monitor and troubleshoot applications - Understand probes and health checks |
| Application Deployment | - Understand rolling updates and rollbacks - Use Kubernetes primitives to implement deployments |
| Application Environment, Configuration and Security | - Security contexts and service accounts - ConfigMaps and Secrets usage |
| Services and Networking | - Pod networking concepts - Services (ClusterIP, NodePort) - Ingress basics |
ValidVCE has many Linux Foundation Certified Kubernetes Application Developer Exam (CKAD) practice questions that reflect the pattern of the real Linux Foundation Certified Kubernetes Application Developer Exam (CKAD) exam. ValidVCE allows you to create a Linux Foundation Certified Kubernetes Application Developer Exam (CKAD) exam dumps according to your preparation. It is easy to create the Linux Foundation CKAD Practice Questions by following just a few simple steps. Our Linux Foundation Certified Kubernetes Application Developer Exam (CKAD) exam dumps are customizable based on the time and type of questions.
NEW QUESTION # 217
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 # 218
Exhibit:
Context
You are tasked to create a ConfigMap and consume the ConfigMap in a pod using a volume mount.
Task
Please complete the following:
* Create a ConfigMap named another-config containing the key/value pair: key4/value3
* start a pod named nginx-configmap containing a single container using the
nginx image, and mount the key you just created into the pod under directory /also/a/path
Answer: B
NEW QUESTION # 219
You are deploying a new application named 'analytics-platform' that requires 12 replicas. You want to implement a rolling update strategy that allows for a maximum ot three pods to be unavailable at any given time. However, you need to ensure that the update process iS triggered automatically whenever a new image is pushed to the Docker Hub repository 'analytics/analytics-platform:latest'.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Llpdate the Deployment YAMLI
- Update the 'replicas' to 12.
- Define 'maxiJnavailable: 3' and 'maxSurge: in the 'strategy-rollingupdate' sectiom
- Configure a 'strategy.type' to 'RollinglJPdates to trigger a rolling update wnen the deployment is updated.
- Add a 'spec-template.spec.imagePullPolicy: Always' to ensure that the new image is pulled even if it exists in the pod's local cache.
2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f analytics-platform-deployment.yamr 3. Verify the Deployment - Check the status of the deployment using 'kubectl get deployments analytics-platform-deployment' to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Push a new image to the 'analytics/analytics-platform:latest Docker Hub repository 5. Monitor the Deployment - Use 'kubectl get pods -l app=analytics-platform' to monitor the pod updates during the rolling update process. You will observe that three pods are terminated at a time, while three new pods with the updated image are created. 6. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment analytics-platform-deployment to see that the 'updatedReplicas' field matches the 'replicas' field, indicating a successful update.,
NEW QUESTION # 220
You have a Kustomization file that applies a patch to the 'spec-template-spec-containers-image' field of a Deployment However, you are now using a newer version of Kubernetes and have received warnings about the deprecated 'spec.template.spec' path. How can you update the Kustomization file to use the recommended API path, ensuring the patch still applies correctly?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify the Deprecated Path: The original Kustomization file likely has a patch like this:
Where 'patch.yamr contains:
2. IJpdate the Patch Path: Replace the deprecated path with the recommended one: Vspec/template/spec.containers/0/image' -> /spec/template.container/0/images
3. Apply the IJpdated Kustomizatiom Re-apply the Kustomization file With the updated patch. 4. Verify the Patch: Verify that the updated Deployment now uses the new image by checking the 'spec-template.spec.contajners.image' field. This example demonstrates updating a Kustomization file to use the correct API path for a patch. It is important to regularly review Kustomization files and apply any necessary updates to avoid issues with API deprecations and ensure compatibility with the latest Kubernetes versions.,
NEW QUESTION # 221
You have a Kubernetes cluster With a Deployment named 'my-app' running multiple replicas of your application. You need to ensure that only authorized users can access the application's pods through the Kubernetes APL Implement a role-based access control (RBAC) policy that allows only users in the "developers' group to access the pods of the 'my-app' Deployment.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Role: Define a Role that grants access to the 'my-app' Deployment pods.
2. Create a RoleBinding: Bind the created Role to the 'developers' group.
3. Apply the Role and RoleBinding: use 'kubectl apply' to create the Role and ROIeBinding resources. bash kubectl apply -f my-app-pod-readenyaml kubectl apply -f my-app-pod-reader-binding.yaml 4. Verify Access: Attempt to access the pods of the 'my-app' Deployment from a user in the "developers' group. You should be able to access the pods. Attempt to access the pods from a user not in the 'developers' group. You should receive an error indicating insufficient permissions.,
NEW QUESTION # 222
......
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