[2025年02月]更新のLinux Foundation CKA試験一発合格保証！ [Q60-Q76]

[2025年02月]更新のLinux Foundation CKA試験一発合格保証！

完全版CKA練習テスト122独特な解答と解釈が待ってます！今すぐ取得せよ！

質問 # 60
List all configmap and secrets in the cluster in all namespace and write it to a file /opt/configmap-secret

正解：

解説：
kubectl get configmap,secrets --all-namespaces > /opt/configmap-secret // Verify Cat /opt/configmap-secret

質問 # 61
You are running a MySQL database on a Kubernetes cluster. You want to ensure that your database data is persistent even if a pod is deleted or restarted. You need to create a PersistentVolumeClaim (PVC) to request a specific storage class with a 1 OGB capacity, access mode of 'ReadWriteOnce', and storage class of 'fast-storage'. Explain the configuration and how to create the PVC and then use the PVC to create a StatefulSet for your MySQL deployment.

正解：

解説：
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a PersistentVolumeClaim:
- Create a YAML file named 'mysql-pvc.yaml' with the following content:

- Apply the YAML file using 'kubectl apply -f mysql-pvc.yamP. 2. Create a StatefulSet for MySQL Deployment: - Create a YAML file named 'mysql-statefulset.yaml' with the following content:

- Apply the YAML file using 'kubectl apply -f mysql-statefulset.yaml'. 3. Verify Deployment: - Check the status of the StatefulSet using 'kubectl get statefulsets mysql'. - Ensure that the pod is running and the PVC is mounted correctly. You can use 'kubectl describe pod mysql-0' to see the details of the pod and the mounted PVC.

質問 # 62
You have a Deployment named 'postgres-deployment' running a PostgreSQL database server. You need to configure the PostgreSQL server with a specific configuration file stored in a ConfigMap named postgres-config'. The configuration file includes sensitive information like the PostgreSQL superuser password. How can you securely store and mount this sensitive information without compromising security?

正解：

解説：
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create the ConfigMap:
- Create a ConfigMap named 'postgres-config' containing the PostgreSQL configuration file (e.g., postgresql.conf). This file will likely contain the superuser password as a plain-text value. Create the ConfigMap using 'kubectl create configmap' with the '--from-file' flag:
kubectl create configmap postgres-config --from-file=postgresql.conf
2. Use a Secret for Sensitive Data:
- Create a Secret named postgres-password' to securely store the PostgreSQL superuser password. Use
'kubectl create secret generic' with the '--from-literal' flag:
kubectl create secret generic postgres-password --from-literal=postgres-password="your_postgres_password"
3. Modify the ConfigMap:
- Update the 'postgres-config' ConfigMap by replacing the plain-text password in the 'postgresql.conf with a placeholder or environment variable reference. This prevents the password from being exposed in plain text in the ConfigMap:
kubectl patch configmap postgres-config -p '{"data": {"postgresql.conf": "password =
'$POSTGRES PASSWORD' "}}'
4. Configure the Deployment:
- Modify the 'postgres-deployment' Deployment to mount both the 'postgres-config' ConfigMap and 'postgres- password' Secret as volumes in the Pod template. Use 'volumeMounts' to specify the mount paths and 'volumes' to define the volume sources:

5. Apply the Changes: - Apply the modified Deployment YAML using 'kubectl apply -f postgres-deployment.yamr. 6. Verify the Configuration: - Verify that the PostgreSQL container is using the secure password from the Secret by connecting to the PostgreSQL instance and attempting to authenticate. ]

質問 # 63
Score: 7%

Task
First, create a snapshot of the existing etcd instance running at https://127.0.0.1:2379, saving the snapshot to /srv/data/etcd-snapshot.db.

Next, restore an existing, previous snapshot located at /var/lib/backup/etcd-snapshot-previo us.db

正解：

解説：
Solution:
#backup
ETCDCTL_API=3 etcdctl --endpoints="https://127.0.0.1:2379" --cacert=/opt/KUIN000601/ca.crt --cert=/opt/KUIN000601/etcd-client.crt --key=/opt/KUIN000601/etcd-client.key snapshot save /etc/data/etcd-snapshot.db
#restore
ETCDCTL_API=3 etcdctl --endpoints="https://127.0.0.1:2379" --cacert=/opt/KUIN000601/ca.crt --cert=/opt/KUIN000601/etcd-client.crt --key=/opt/KUIN000601/etcd-client.key snapshot restore /var/lib/backup/etcd-snapshot-previoys.db

質問 # 64
Delete persistent volume and persistent volume claim

正解：

解説：
kubectl delete pvc task-pv-claim kubectl delete pv task-pv-volume // Verify Kubectl get pv,pvc

質問 # 65
Given a partially-functioning Kubernetes cluster, identify symptoms of failure on the cluster.
Determine the node, the failing service, and take actions to bring up the failed service and restore the health of the cluster. Ensure that any changes are made permanently.
You can ssh to the relevant I nodes (bk8s-master-0 or bk8s-node-0) using:
[student@node-1] $ ssh <nodename>
You can assume elevated privileges on any node in the cluster with the following command:
[student@nodename] $ | sudo -i

正解：

解説：
solution

質問 # 66
List all the pods that are serviced by the service "webservice" and copy the output in /opt/$USER/webservice.targets Note: You need to list the endpoints

正解：

解説：
kubectl descrive svc webservice | grep -i "Endpoints" > /opt/$USER/webservice.targets kubectl get endpoints webservice > /opt/$USER/webservice.targets

質問 # 67
Create and configure the servicefront-end-serviceso it's accessiblethroughNodePortand routes to theexisting pod namedfront-end.

正解：

解説：
See the solution below.
Explanation
solution

質問 # 68
Apply the autoscaling to this deployment with minimum 10 and maximum 20 replicas and target CPU of 85% and verify hpa is created and replicas are increased to 10 from 1

正解：

解説：
kubectl autoscale deploy webapp --min=10 --max=20 --cpu percent=85 kubectl get hpa kubectl get pod -l app=webapp

質問 # 69
Update the deployment with the image version 1.17.4 and verify

• A. kubectl set image deploy/webapp nginx=nginx:1.17.4
  //Verify
  kubectl describe deploy webapp | grep Image
  kubectl get deploy -o=jsonpath='{range.items [*]}{.[*]}
  {.metadata.name}{"\t"}{.spec.template.spec.containers[*].i
  mage}{"\n"}'
• B. kubectl set image deploy/webapp nginx=nginx:1.17.4
  //Verify
  kubectl describe deploy webapp | grep Image
  kubectl get deploy -
  {.metadata.name}{"\t"}{.spec.template.spec.containers[*].i
  mage}{"\n"}'

正解：A

質問 # 70
You have a Deployment named 'worker-deployment' with 10 replicas of a worker container. You need to implement a rolling update strategy that allows for a maximum of 3 pods to be unavailable at any given time during the update process. You also want to ensure that the update process is completed within a specified timeout of 10 minutes. If the update fails to complete within the timeout, the deployment should revert to the previous version. Additionally, you want to implement a pause functionality to temporarily halt the rolling update process.

正解：

解説：
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAML:
- Update the 'replicas' to 10.
- Define 'maxUnavailable: 3' and 'maxSurge: 0' in the 'strategy.rollingUpdate' section to control the rolling update process.
- Configure a 'strategy.type' to 'RollingUpdate' to trigger a rolling update when the deployment is updated.
- Set Always' to ensure that the new image is pulled even if it exists in the pod's local cache.
- Add a 'spec.progressDeadlineSeconds: 600' to set a timeout of 10 minutes for the update process.

2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f worker-deployment.yaml' 3. Verify the Deployment: - Check the status of the deployment using 'kubectl get deployments worker-deployment' to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Push a new image to the 'my.org/worker:latest' Docker Hub repository. 5. Monitor the Deployment: - Use "kubectl get pods -l app=worker' to monitor the pod updates during the rolling update process. 6. Pause the Rolling Update: - To pause the rolling update process, use the following command: bash kubectl rollout pause deployment worker-deployment 7. Resume the Rolling Update: - To resume the rolling update process, use the following command: bash kubectl rollout resume deployment worker-deployment 8. Observe Rollback if Timeout Exceeds: - If the update process takes longer than 10 minutes to complete, the deployment will be rolled back to the previous version. This can be observed using 'kubectl describe deployment worker-deployment' and checking the 'updatedReplicas' and 'availableReplicas" fields.

質問 # 71
You have a multi-cluster Kubernetes environment, and you need to implement cross-cluster communication between two clusters named 'cluster 1 and 'cluster?. You need to use CoreDNS to resolve service names across clusters. For example, a pod in cluster 1' should be able to access a service named 'my- service' running in 'cluster2'.

正解：

解説：
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Install CoreDNS in Both Clusters:
- Follow the steps in the previous solution to install and configure CoreDNS in both 'cluster 1 ' and 'cluster?.
2. Configure Cross-Cluster DNS in CoreDNS:
- In 'cluster 1 ' , modify the CoreDNS configuration file to forward requests for services in 'cluster? to the CoreDNS service in 'cluster?.

- Repeat the same configuration for 'cluster2' , forwarding requests for services in 'cluster 1 ' to the CoreDNS service in 'clusterl'. 3. Configure Services with External Names: - In 'cluster? , configure the 'my-service' service to have an 'externalName' field set to 'my- service.clusterl .locar. This will tell CoreDNS to forward requests for 'my-service' to the CoreDNS service in 'cluster 1'.

4. Test Cross-Cluster Communication: - Deploy a pod in 'cluster 1 ' that tries to access 'my-service' in 'cluster?. - Verify that the pod can successfully communicate with the service in 'cluster? using its service name.

質問 # 72
List all the pods sorted by name

正解：

解説：
See the solution below.
Explanation
kubectl get pods --sort-by=.metadata.name

質問 # 73
Create a file:
/opt/KUCC00302/kucc00302.txt that lists all pods that implement service in namespace development.
The format of the file should be one pod name per line.

正解：

解説：
See the solution below.
Explanation
solution

質問 # 74
have a Kubernetes cluster with limited resources. You have two Deployments: 'app-a' and 'app-b'. Both Deployments require the same resource limits (CPU and memory) but have different resource requests. 'app-a' requests 500m CPU and 512Mi memory, while 'app-b' requests 1000m CPU and IGi memory. When you create a new Pod for 'app-a', it gets scheduled successfully, but when you try to create a new Pod for 'app-b' , it fails to schedule. Explain why the Pod for 'app-b' fails to schedule, and suggest a solution to resolve the issue.

正解：

解説：
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Understanding the issue: The Pod for 'app-b' fails to schedule because it requests more resources (1000m CPU and IGi memory) than are currently available in the cluster. The scheduler prioritizes Pods that can fit within the available resources, and since 'app-b' exceeds the available resources, it cannot be scheduled.
2. Solution: You can solve this issue by either:
a) Increase Cluster Resources: The most straightforward solution is to increase the resources available in your Kubernetes cluster. This could involve adding more nodes with more CPU and memory or upgrading existing nodes with more powerful hardware.
b) Adjust Resource Requests for 'app-b': If increasing cluster resources is not an option, you can try to adjust the resource requests for 'app-b' to match the available resources. You could reduce the CPU request from 1000m to 500m and the memory request from IGi to 512Mi. This would allow 'app-b' to fit within the available resources and be scheduled. However, reducing resource requests could potentially impact the performance of app-b', so it's important to monitor its performance after the adjustment.
3. Implementation (Example Code):
- Option a (Increase Cluster Resources):
- This involves managing your Kubernetes infrastructure.
- Depending on your Kubernetes setup, you may need to use commands like 'kubectl scale' or 'kubectl apply -f deployment.yamr to manage the deployment of your application.
- For detailed instructions on how to manage your cluster, consult your cluster provider's documentation or the Kubernetes documentation.
- Option b (Adjust Resource Requests):

4. Verification: After implementing either option, you can verify the scheduling by creating a new Pod for 'app- b'. If the Pod is scheduled successfully, the solution has been implemented successfully.

質問 # 75
Get IP address of the pod - "nginx-dev"

正解：

解説：
Kubect1 get po -o wide
Using JsonPath
kubect1 get pods -o=jsonpath='{range
.items[*]}{.metadata.name}{"\t"}{.status.podIP}{"\n"}{end}'

質問 # 76
......

あなたの合格を助けるLinux Foundation認証と最新のFast2test CKA試験問題集解答：https://drive.google.com/open?id=1rQ4vUsf_7rl5FAinTPrJ7JI_mKvzw1PV