最有效的CKA PDF，免費下載CKA考試指南幫助妳通過CKA考試

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Linux Foundation CKA Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Services & Networking20%- Network policies
- CNI configuration and troubleshooting
- Service types: ClusterIP, NodePort, LoadBalancer, ExternalName
- CoreDNS and service discovery
- Ingress resources and controllers
Topic 2: Storage10%- Volume types and access modes
- StatefulSet storage configuration
- Persistent Volumes (PV) and Persistent Volume Claims (PVC)
- StorageClasses and dynamic provisioning
Topic 3: Cluster Architecture, Installation & Configuration25%- Manage RBAC
- Create and manage clusters with kubeadm
- Understand CNI, CSI, CRI interfaces
- Work with CRDs and Operators
- Prepare infrastructure for cluster installation
- Implement high availability control plane
- Install components via Helm / Kustomize
- Manage cluster lifecycle and upgrades
Topic 4: Troubleshooting30%- Cluster component health checks
- Log collection and analysis
- Network connectivity and DNS resolution problems
- Worker node issues and recovery
- Pod and application failures
- Control plane component failures
Topic 5: Workloads & Scheduling15%- Pod lifecycle, init containers, probes
- Configure applications with ConfigMaps and Secrets
- Deployments, rolling updates and rollbacks
- Pod scheduling: node selector, affinity, taints/tolerations
- Resource requests, limits and autoscaling

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最新的 Kubernetes Administrator CKA 免費考試真題 (Q64-Q69):

問題 #64
Score:7%

Context
An existing Pod needs to be integrated into the Kubernetes built-in logging architecture (e. g. kubectl logs). Adding a streaming sidecar container is a good and common way to accomplish this requirement.
Task
Add a sidecar container named sidecar, using the busybox Image, to the existing Pod big-corp-app. The new sidecar container has to run the following command:
/bin/sh -c tail -n+1 -f /va r/log/big-corp-app.log
Use a Volume, mounted at /var/log, to make the log file big-corp-app.log available to the sidecar container.

答案：

解題說明：
Solution:
#
kubectl get pod big-corp-app -o yaml
#
apiVersion: v1
kind: Pod
metadata:
name: big-corp-app
spec:
containers:
- name: big-corp-app
image: busybox
args:
- /bin/sh
- -c
- >
i=0;
while true;
do
echo "$(date) INFO $i" >> /var/log/big-corp-app.log;
i=$((i+1));
sleep 1;
done
volumeMounts:
- name: logs
mountPath: /var/log
- name: count-log-1
image: busybox
args: [/bin/sh, -c, 'tail -n+1 -f /var/log/big-corp-app.log']
volumeMounts:
- name: logs
mountPath: /var/log
volumes:
- name: logs
emptyDir: {
}
#
kubectl logs big-corp-app -c count-log-1


問題 #65
Score:7%

Task
Create a new PersistentVolumeClaim
* Name: pv-volume
* Class: csi-hostpath-sc
* Capacity: 10Mi
Create a new Pod which mounts the PersistentVolumeClaim as a volume:
* Name: web-server
* Image: nginx
* Mount path: /usr/share/nginx/html
Configure the new Pod to have ReadWriteOnce access on the volume.
Finally, using kubectl edit or kubectl patch expand the PersistentVolumeClaim to a capacity of 70Mi and record that change.

答案：

解題說明：
Solution:
vi pvc.yaml
storageclass pvc
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: pv-volume
spec:
accessModes:
- ReadWriteOnce
volumeMode: Filesystem
resources:
requests:
storage: 10Mi
storageClassName: csi-hostpath-sc
# vi pod-pvc.yaml
apiVersion: v1
kind: Pod
metadata:
name: web-server
spec:
containers:
- name: web-server
image: nginx
volumeMounts:
- mountPath: "/usr/share/nginx/html"
name: my-volume
volumes:
- name: my-volume
persistentVolumeClaim:
claimName: pv-volume
# craete
kubectl create -f pod-pvc.yaml
#edit
kubectl edit pvc pv-volume --record


問題 #66
Create a snapshot of the etcd instance running at https://127.0.0.1:2379, saving the snapshot to the file path
/srv/data/etcd-snapshot.db.
The following TLS certificates/key are supplied for connecting to the server with etcdctl:
* CA certificate: /opt/KUCM00302/ca.crt
* Client certificate: /opt/KUCM00302/etcd-client.crt
* Client key: Topt/KUCM00302/etcd-client.key

答案：

解題說明：


問題 #67
You need to schedule a pod to run only on nodes that have specific hardware resources, such as a certain amount of memory or a particular GPU type. Explain how you can use node affinity to achieve this.

答案：

解題說明：
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the Node Affinity: Add an 'affinity' section to the 'spec.template.spec' section of your pod definition YAML file.

2. Set 'nodeSelectorTerms': In the 'nodeAffinity' section, specify requiredDuringSchedulinglgnoredDuringExecutioru to indicate that the node affinity rule must be met during pod scheduling. Within 'nodeSelectorTerms' , use 'matchExpressions' to match the node label 'kubernetes.io/hostname' to the value 'my-gpu-node'. Replace "my-gpu-node" with the actual hostname of the node that has the required resources. 3. Apply the Pod: Apply the YAML file to your cluster using 'kubectl apply -f my-resource-intensive-pod.yaml' Kubernetes will attempt to schedule the pod only on the node labeled 'my-gpu-node'. If the node is unavailable or if no nodes have the required labels, the pod will remain in a pending state until a suitable node becomes available.


問題 #68
You are running a Kubernetes cluster with a large number of deployments and services. You need to improve the performance and efficiency of DNS resolution, especially during peak traffic periods.

答案：

解題說明：
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Increase CoreDNS Resources:
- Allocate more CPU, memory, and storage resources to the CoreDNS Deployment to handle increased DNS traffic.

2. Configure CoreDNS for Efficient Caching: - Use CoreDNS's 'cache' plugin to store DNS records in memory and reduce the need for frequent DNS queries.

3. Use a Distributed DNS Server: - If you have a very large cluster with high traffic, consider using a distributed DNS server like etcd or Consul. This can help to improve performance and scalability. 4. Use DNS over TLS (DOT) or DNS over HTTPS (DoH): - Enable secure DNS communication to reduce the risk of DNS poisoning attacks, which can significantly impact performance.

5. Monitor CoreDNS Performance: - Use metrics and logs to monitor CoreDNS performance and identify potential bottlenecks. This will help you adjust your configuration and resource allocation as needed. ]


問題 #69
......

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