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CKA Exam Outline - Exam CKA Cram

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The CKA certification exam is a rigorous, hands-on test that assesses an individual’s ability to perform tasks commonly associated with Kubernetes administration. CKA exam is designed to evaluate a candidate’s proficiency in a variety of areas, including cluster setup, application deployment, troubleshooting, and maintenance. CKA exam is administered online and consists of a series of performance-based tasks that must be completed within a specified time frame. CKA exam requires candidates to demonstrate their ability to efficiently manage Kubernetes clusters, troubleshoot common problems, and optimize performance. Passing the CKA Certification Exam is a significant achievement that can boost an individual’s career prospects, increase their earning potential, and provide them with access to new job opportunities in the rapidly growing Kubernetes ecosystem.

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>> CKA Exam Outline <<

Exam Linux Foundation CKA Cram, CKA Cert Exam

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q69-Q74):

NEW QUESTION # 69
You are managing a Kubernetes cluster where several pods are scheduled across multiple nodes. One of your deployments (named "wordpress") is using a custom resource definition (CRD) called "WordpressConfig" that defines the configuration for the Wordpress application. The "WordpressConfig" CRD includes parameters for database connections, security settings, and other application-specific settings. You want to ensure that the pods running the WordPress application are aware of the latest configuration changes to the "WordpressConfig" CRD, even if the pod is already running.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a ConfigMap:
- Define a ConfigMap named "wordpress-config" that will contain the current configuration from the
"WordpressConfig" CRD.
- Use the 'kubectl get wordpressconfig -o yaml' command to get the current configuration of the
"WordpressConfig" resource.
- Update the ConfigMap with the desired configuration data. You can achieve this by:
- Manually creating a ConfigMap with the configuration data.
- Creating a separate script or function to extract data from the "WordpressConfig" CRD and apply it to a ConfigMap.
- You can use the following YAML snippet as an example for the "wordpress-config" ConfigMap:

2. Update the Wordpress Deployment: - Modify the 'wordpress' Deployment to use the "wordpress-config" ConfigMap as a volume. - Mount the volume to the pod's container and ensure the application can access the configuration from the volume. - Update the Deployment YAML as follows:

3. Implement a Controller: - Create a custom controller that watches for changes in the "WordpressConfig" CRD. - When a change occurs, the controller should update the "wordpress-config" ConfigMap with the new configuration data. - This ensures that the ConfigMap stays in sync with the "WordpressConfig" resource. - The controller can be written using various languages like Go, Python, or Java. 4. Configure Pod Updates: - If your WordPress pods are not automatically restarted after the ConfigMap changes, you can trigger a restart using the 'kubectl rollout restart deployment wordpress' command. - Alternatively, you can set the 'imagePullPolicy' to in your Deployment configuration, which forces the pods to pull the new image and re-apply the configuration on each update. 5. Verify the Configuration: - Once you have implemented these steps, verify that the Wordpress pods are using the latest configuration from the ConfigMap. - Use the 'kubectl get pods -l app=wordpress -o yamp command to inspect the running pods and verify the volume mount and the path where the configuration data is located. - Access the running WordPress application to confirm that the new configuration is being applied. By following these steps, you will ensure that your Wordpress pods are always using the latest configuration from the "WordpressConfig" CRD, regardless of whether the pods are already running or not. ,

NEW QUESTION # 70
Get list of persistent volumes and persistent volume claim in the cluster

Answer:

Explanation:
kubectl get pv kubectl get pvc

NEW QUESTION # 71
Get list of PVs and order by size and write to file - /opt/pvlist.txt

Answer:

Explanation:
kubectl get pv --sort-by=.spec.capacity.storage > /opt/pvlist.txt

NEW QUESTION # 72
// Create a configmap
kubectl create configmap redis-config --from-file=/opt/redisconfig
// Verify
kubectl get configmap redis-config -o yaml
// first run this command to save the pod yml
kubectl run redis-pod --image=redis --restart=Always --dry-run
-o yaml > redis-pod.yml
// edit the yml to below file and create
apiVersion: v1
kind: Pod
metadata:
name: redis
spec:
containers:
- name: redis
image: redis
env:
- name: MASTER
value: "true"
ports:
- containerPort: 6379
volumeMounts:
- mountPath: /redis-master-data
name: data
- mountPath: /redis-master
name: config
volumes:
- name: data
emptyDir: {}
- name: config
configMap:
name: example-redis-config

A. items:
- key: redis-config
path: redis.conf
cf
// // Verify
K kubectl exec -it redis - cat /redis-master-data/redis.conf
B. items:
- key: redis-config
path: redis.conf
cf
kk kubectl apply -f redis-pod.yml
// // Verify
K kubectl exec -it redis - cat /redis-master-data/redis.conf

Answer: B

NEW QUESTION # 73
What is the maximum number of samples that can be submitted to WildFire manually per day?

A. 1,000
B. 15,000
C. 5,000
D. 2,000

Answer: A

NEW QUESTION # 74
......

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