さらに、Jpshiken CKAダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=1MqNilAcVNHqJwvQCatoDqkfhwiNjyXoo
神様は私を実力を持っている人間にして、美しい人形ではないです。IT業種を選んだ私は自分の実力を証明したのです。しかし、神様はずっと私を向上させることを要求します。Linux FoundationのCKA試験を受けることは私の人生の挑戦の一つです。でも大丈夫です。JpshikenのLinux FoundationのCKA試験トレーニング資料を購入しましたから。すると、Linux FoundationのCKA試験に合格する実力を持つようになりました。 JpshikenのLinux FoundationのCKA試験トレーニング資料を持つことは明るい未来を持つことと同じです。
| Certification Vendor: | Linux Foundation |
|---|---|
| Exam Name: | Certified Kubernetes Administrator (CKA) Program Exam |
| Exam Number: | CKA |
| Real Exam Qty: | 15-20 |
| Certificate Validity Period: | 2 years |
| Available Languages: | English |
| Related Certifications: | Certified Kubernetes Application Developer (CKAD) Certified Kubernetes Security Specialist (CKS) |
| Exam Price: | $445 USD |
| Exam Duration: | 120 minutes |
| Passing Score: | 66% |
| Exam Format: | Performance-based |
| Sample Questions: | Linux Foundation CKA Sample Questions |
| Exam Way: | Online, proctored, performance-based exam. Candidates solve problems from a command line. |
| Pre Condition: | No prerequisites required. Candidates should have a conceptual and practical understanding of Kubernetes components and native objects. |
| Official Syllabus URL: | https://www.cncf.io/training/certification/cka/ |
>> Linux Foundation CKA学習資料 <<
Linux Foundation CKA試験参考書に疑問を持たれば、Linux Foundation会社のウエブサイトから無料でCKA試験のためのデモをダウンロードできます。CKA試験参考書の高品質でCKA試験の受験者は弊社と長期的な協力関係を築いています。CKA試験参考書はお客様の試験のために最も役に立つ商品だとも言えます。
Linux Foundation CKA（Certified Kubernetes Administrator）プログラムは、Kubernetesプラットフォーム上でアプリケーションを管理および展開する能力を認定する認定資格です。この資格は、ネットワーキング、ストレージ、セキュリティ、およびクラスタアーキテクチャを含むKubernetesおよびその基盤コンポーネントについての確固たる理解を持つプロフェッショナルを対象として設計されています。CKAプログラムは、Kubernetesのスキルセットを強化し、DevOps、クラウドコンピューティング、またはコンテナ化のキャリアを追求したいと考えている個人に最適です。
質問 # 65
Get the deployment rollout status
正解：
解説：
kubectl rollout status deploy webapp
質問 # 66
A Kubernetes worker node, named wk8s-node-0 is in state NotReady. Investigate why this is the case, and perform any appropriate steps to bring the node to a state, ensuring that any changes are made permanent.
You can ssh to the failed node using:
[student@node-1] $ | ssh Wk8s-node-0
You can assume elevated privileges on the node with the following command:
[student@w8ks-node-0] $ | sudo -i
正解：
解説：
See the solution below.
Explanation
solution
F:\Work\Data Entry Work\Data Entry\20200827\CKA\20 C.JPG
F:\Work\Data Entry Work\Data Entry\20200827\CKA\20 D.JPG
F:\Work\Data Entry Work\Data Entry\20200827\CKA\20 E.JPG
質問 # 67
Configure the kubelet systemd- managed service, on the node labelled with name=wk8s-node-1, to launch a pod containing a single container of Image httpd named webtool automatically. Any spec files required should be placed in the /etc/kubernetes/manifests directory on the node.
You can ssh to the appropriate node using:
[student@node-1] $ ssh wk8s-node-1
You can assume elevated privileges on the node with the following command:
[student@wk8s-node-1] $ | sudo -i
正解：
解説：
質問 # 68
You have a Kubernetes cluster with a Deployment named 'web-app' running 3 replicas. One of the pods in the Deployment is consistently crashing, and you suspect it is due to resource limitations. You need to investigate the resource usage of the failing pod and adjust its resource requests and limits to prevent it from crashing.
正解：
解説：
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify the Failing Pod:
- Use "kubectl get pods -l app=web-app' to list pods in the 'web-app' Deployment.
- Identify the pod that is consistently crashing. You might see an event in the pod's description like "Container
'web-app' exited with code 137" which indicates an OOMKilled event.
2. Examine Resource Usage:
- Get detailed information about the failing pod using 'kubectl describe pod '
- Look for the "Containers" section and pay attention to the resource usage metrics:
- CPU Usage: This will indicate how much CPU the container is using.
- Memory Usage: This shows how much memory the container is consuming.
- Resource Requests: This indicates how much CPU and memory the container is requesting.
- Resource Limits: This shows how much CPU and memory the container is allowed to use.
3. Adjust Resource Requests and Limits:
- Based on the resource usage and the "Resource Requests" and "Resource Limits" you observed in the previous step, increase the requests and limits for the container.
- Example: If the container consistently uses 200m CPU and 250Mi memory, increase the requests and limits to
250m CPU and 500Mi memory.
- Edit the Deployment YAML:
4. Update the Deployment: - Apply the updated YAML using 'kubectl apply -f web-app.yamP 5. Monitor the Pod: - Observe the pod's resource usage and stability after the update. - You can use 'kubectl describe pod ' or 'kubectl top pod to monitor resource usage. 6. Further Troubleshooting: - If the pod continues to crash, you might need to consider other factors, such as: - Container image optimizations: Ensure the container image is optimized for efficient resource consumption. - Application code adjustments: Analyze the application code for any resource-intensive operations. - Vertical Pod Autoscaling (VPA): Configure VPA to automatically adjust the resource requests and limits of pods based on their resource usage.
質問 # 69
Create the nginx pod with version 1.17.4 and expose it on port 80
正解：
解説：
kubectl run nginx --image=nginx:1.17.4 --restart=Never -- port=80
質問 # 70
......
CKA最新テスト: https://www.jpshiken.com/CKA_shiken.html
P.S.JpshikenがGoogle Driveで共有している無料の2026 Linux Foundation CKAダンプ：https://drive.google.com/open?id=1MqNilAcVNHqJwvQCatoDqkfhwiNjyXoo