無料でクラウドストレージから最新のMogiExam CKA PDFダンプをダウンロードする：https://drive.google.com/open?id=10AOhTBhcnl2YbtRKHpfszn7VZkaf828l
製品がどれほど優れていても、ユーザーは使用過程でいくつかの難しい問題に遭遇します。 CKAの実際の試験資料も例外ではありません。最高の製品体験を楽しむために、ユーザーが使用中のプロセスで問題が見つかった場合は、CKAを初めてチェックして、試験問題のパフォーマンス、ユーザーが問題を解決するのに役立つ専門のメンテナンススタッフ。 CKAラーニングリファレンスファイルには、効率の良い製品メンテナンスチームがあり、数分でCKA試験の質問を送信できます。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Workloads & Scheduling | 15% | - Resource requests, limits and autoscaling - Configure applications with ConfigMaps and Secrets - Pod lifecycle, init containers, probes - Pod scheduling: node selector, affinity, taints/tolerations - Deployments, rolling updates and rollbacks |
| Topic 2: Troubleshooting | 30% | - Cluster component health checks - Log collection and analysis - Worker node issues and recovery - Network connectivity and DNS resolution problems - Control plane component failures - Pod and application failures |
| Topic 3: Storage | 10% | - StorageClasses and dynamic provisioning - Persistent Volumes (PV) and Persistent Volume Claims (PVC) - StatefulSet storage configuration - Volume types and access modes |
| Topic 4: Services & Networking | 20% | - Ingress resources and controllers - CoreDNS and service discovery - CNI configuration and troubleshooting - Service types: ClusterIP, NodePort, LoadBalancer, ExternalName - Network policies |
| Topic 5: Cluster Architecture, Installation & Configuration | 25% | - Manage cluster lifecycle and upgrades - Create and manage clusters with kubeadm - Work with CRDs and Operators - Understand CNI, CSI, CRI interfaces - Install components via Helm / Kustomize - Manage RBAC - Implement high availability control plane - Prepare infrastructure for cluster installation |
CKA試験問題のLinux Foundation3つのバージョンを用意して、クライアントが選択して無料でアップデートできるようにします。異なるバージョンは異なる利点を後押しします。ご購入の前に各バージョンの紹介を注意深くお読みください。そして、CKA学習教材の言語は理解しやすく、理論と実践の最新の開発状況に従ってCKA試験トレントをコンパイルします。 CKA試験の準備に少しの時間しか必要ありません。そのため、CKAの質問トレントを購入する価値があります。
質問 # 36
You must connect to the correct host.
Failure to do so may result in a zero score.
[candidate@base] $ ssh Cka000037
Context
A legacy app needs to be integrated into the Kubernetes built-in logging architecture (i.e.
kubectl logs). Adding a streaming co-located container is a good and common way to accomplish this requirement.
Task
Update the existing Deployment synergy-leverager, adding a co-located container named sidecar using the busybox:stable image to the existing Pod . The new co-located container has to run the following command:
/bin/sh -c "tail -n+1 -f /var/log/syne
rgy-leverager.log"
Use a Volume mounted at /var/log to make the log file synergy-leverager.log available to the co- located container .
Do not modify the specification of the existing container other than adding the required volume mount .
Failure to do so may result in a reduced score.
正解：
解説：
Task Summary
* SSH into the correct node: cka000037
* Modify existing deployment synergy-leverager
* Add a sidecar container:
* Name: sidecar
* Image: busybox:stable
* Command:
/bin/sh -c "tail -n+1 -f /var/log/synergy-leverager.log"
* Use a shared volume mounted at /var/log
* Don't touch existing container config except adding volume mount
Step-by-Step Solution
1## SSH into the correct node
ssh cka000037
## Skipping this will result in a zero score.
2## Edit the deployment
kubectl edit deployment synergy-leverager
This opens the deployment YAML in your default editor (vi or similar).
3## Modify the spec as follows
# Inside the spec.template.spec, do these 3 things:
# A. Define a shared volume
Add under volumes: (at the same level as containers):
volumes:
- name: log-volume
emptyDir: {}
# B. Add volume mount to the existing container
Locate the existing container under containers: and add this:
volumeMounts:
- name: log-volume
mountPath: /var/log
# Do not change any other configuration for this container.
# C. Add the sidecar container
Still inside containers:, add the new container definition after the first one:
- name: sidecar
image: busybox:stable
command:
- /bin/sh
- -c
- "tail -n+1 -f /var/log/synergy-leverager.log"
volumeMounts:
- name: log-volume
mountPath: /var/log
spec:
containers:
- name: main-container
image: your-existing-image
volumeMounts:
- name: log-volume
mountPath: /var/log
- name: sidecar
image: busybox:stable
command:
- /bin/sh
- -c
- "tail -n+1 -f /var/log/synergy-leverager.log"
volumeMounts:
- name: log-volume
mountPath: /var/log
volumes:
- name: log-volume
emptyDir: {}
Save and exit
If using vi or vim, type:
bash
CopyEdit
wq
5## Verify
Check the updated pods:
kubectl get pods -l app=synergy-leverager
Pick a pod name and describe it:
kubectl describe pod <pod-name>
Confirm:
* 2 containers running (main-container + sidecar)
* Volume mounted at /var/log
ssh cka000037
kubectl edit deployment synergy-leverager
# Modify as explained above
kubectl get pods -l app=synergy-leverager
kubectl describe pod <pod-name>
質問 # 37
You have a Deployment named 'my-app-deployment' running a web application. The Deployment's Service is exposed using a NodePort service. You need to configure a new Ingress resource that allows traffic to reach the web application through a specific domain name. How would you set up the Ingress configuration?
正解：
解説：
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Install the Ingress Controller:
- If you haven't already, install an Ingress controller. Common options include:
- NGINX Ingress Controller: [https://kubernetes.github.io/ingress-nginx/](https://kubernetes.github.io/ingress- nginx/)
- Traefik Ingress Controller: [https://traefik.io[](https://traefik.io/)
2. Create an Ingress Resource:
- Create a new Ingress resource using the following YAML structure, replacing the placeholders with your actual values:
3. Configure DNS: - Create a DNS record for your domain 'my-app.example.com' pointing to the IP address of your Ingress controller. This can be either a LoadBalancer service IP or the Ingress controller's pod IP if you're using NodePort. 4. Verify Ingress Setup: - Once the DNS records are propagated, you should be able to access your web application through the configured domain name 'my-app.example.com'.
質問 # 38
Create a persistent volume with name app-data, of capacity 2Gi and access mode ReadWriteMany. The type of volume is hostPath and its location is /srv/app-data.
正解：
解説：
Persistent Volume
A persistent volume is a piece of storage in a Kubernetes cluster. PersistentVolumes are a cluster-level resource like nodes, which don't belong to any namespace. It is provisioned by the administrator and has a particular file size. This way, a developer deploying their app on Kubernetes need not know the underlying infrastructure. When the developer needs a certain amount of persistent storage for their application, the system administrator configures the cluster so that they consume the PersistentVolume provisioned in an easy way.
Creating Persistent Volume
kind: PersistentVolume
apiVersion: v1
metadata:
name:app-data
spec:
capacity: # defines the capacity of PV we are creating
storage: 2Gi #the amount of storage we are tying to claim
accessModes: # defines the rights of the volume we are creating
- ReadWriteMany
hostPath:
path: "/srv/app-data" # path to which we are creating the volume
Challenge
* Create a Persistent Volume named app-data, with access mode ReadWriteMany, storage classname shared, 2Gi of storage capacity and the host path /srv/app-data.
2. Save the file and create the persistent volume.
Image for post
3. View the persistent volume.
* Our persistent volume status is available meaning it is available and it has not been mounted yet. This status will change when we mount the persistentVolume to a persistentVolumeClaim.
PersistentVolumeClaim
In a real ecosystem, a system admin will create the PersistentVolume then a developer will create a PersistentVolumeClaim which will be referenced in a pod. A PersistentVolumeClaim is created by specifying the minimum size and the access mode they require from the persistentVolume.
Challenge
* Create a Persistent Volume Claim that requests the Persistent Volume we had created above. The claim should request 2Gi. Ensure that the Persistent Volume Claim has the same storageClassName as the persistentVolume you had previously created.
kind: PersistentVolume
apiVersion: v1
metadata:
name:app-data
spec:
accessModes:
- ReadWriteMany
resources:
requests:
storage: 2Gi
storageClassName: shared
2. Save and create the pvc
njerry191@cloudshell:~ (extreme-clone-2654111)$ kubect1 create -f app-data.yaml persistentvolumeclaim/app-data created
3. View the pvc
Image for post
4. Let's see what has changed in the pv we had initially created.
Image for post
Our status has now changed from available to bound.
5. Create a new pod named myapp with image nginx that will be used to Mount the Persistent Volume Claim with the path /var/app/config.
Mounting a Claim
apiVersion: v1
kind: Pod
metadata:
creationTimestamp: null
name: app-data
spec:
volumes:
- name:congigpvc
persistenVolumeClaim:
claimName: app-data
containers:
- image: nginx
name: app
volumeMounts:
- mountPath: "/srv/app-data "
name: configpvc
質問 # 39
Create a PersistentVolumeClaim of at least 3Gi storage and access mode ReadWriteOnce and verify status is Bound
正解：B
質問 # 40
Get list of PVs and order by size and write to file - /opt/pvlist.txt
正解：
解説：
kubectl get pv --sort-by=.spec.capacity.storage > /opt/pvlist.txt
質問 # 41
......
実際の試験に応じて、実践のために最新のCKA試験ダンプを提供します。最新のCKAテストの質問を使用すると、テストの実践で良い経験をすることができます。さらに、価格について心配する必要はありません。さらにパートナーシップを結ぶために、1年間半額の無料アップデートを提供します。これは、この分野で大きな売り上げです。お支払い後、更新されたCKA試験をすぐに送信します。更新についてご質問がある場合は、メッセージをお送りください。
CKA実際試験: https://www.mogiexam.com/CKA-exam.html
ちなみに、MogiExam CKAの一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=10AOhTBhcnl2YbtRKHpfszn7VZkaf828l