[Q17-Q36] Latest CKA Practice Test Questions Verified Answers As Experienced in the Actual Test!

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Latest CKA Practice Test Questions Verified Answers As Experienced in the Actual Test!

Pass Linux Foundation CKA Exam in First Attempt Easily

Linux Foundation Certified Kubernetes Administrator (CKA) Program Certification Exam is designed for individuals who want to demonstrate their expertise in managing, deploying, and maintaining Kubernetes clusters. Kubernetes is an open-source container orchestration platform that is used by companies of all sizes to manage their containerized workloads. With the increasing popularity of Kubernetes, there is a growing demand for certified professionals who can manage and administer Kubernetes clusters effectively. The CKA exam is a professional certification that validates an individual’s skills and knowledge in Kubernetes administration.

Linux Foundation CKA certification has become a benchmark for Kubernetes expertise in the industry. Organizations are increasingly seeking certified Kubernetes administrators to manage their Kubernetes infrastructure. Certified Kubernetes Administrator (CKA) Program Exam certification not only validates the candidate’s skills but also demonstrates their commitment to keeping up with the latest industry trends and technologies. The CKA certification provides a competitive edge to the candidate and opens up new career opportunities.

NEW QUESTION 17
You have a Deployment running a complex application that requires significant resource allocation. How can you optimize the Deployment to use resources efficiently and avoid resource contention with other deployments?

See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define Resource Requests and Limits:
– Set ‘requests’ and ‘limits’ for CPU and memory for the containers in the Deployment.
– This helps in specifying the minimum resources required by the pods and the maximum resources that they can consume.

2. Optimize Container Images: – Use smaller and more efficient container images to reduce the resource footprint of the pods. 3. Use Resource Quotas: – Apply resource quotas at the namespace level to control the resource consumption of the pods within a namespace. 4. Consider Pod Disruption Budgets (PDB): – Implement PDBs to control the maximum number of pods that can be unavailable during a rolling update or pod deletion. – This ensures that the application remains available during resource-intensive events. 5. Utilize Node Affinity and Tolerations: – Configure node affinity and tolerations to schedule pods on specific nodes that have the required resources. 6. Monitor Resource Utilization: – Regularly monitor the resource utilization of the cluster and the pods. – Use tools like ‘kubectl top pods’, ‘kubectl top nodes’, and ‘kubectl describe nodes’ to gather resource – Adjust resource requests and limits accordingly based on the monitoring data. 7. Consider Vertical Pod Autoscaler (VPA): – Utilize VPA to automatically adjust the resource requests and limits of pods based on their actual resource consumption. 8. Optimize Application Code: – Identify and optimize resource-intensive parts of the application code to reduce resource consumption. – Use profiling tools to identify areas for improvement. 9. Implement Resource Optimization Techniques: – Utilize techniques such as caching, lazy loading, and efficient data structures to reduce resource usage within the application. 10. Explore Resource Sharing Techniques: – If possible, explore resource sharing techniques such as using shared volumes or databases to reduce overall resource consumption.,

NEW QUESTION 18
You have a Kubernetes cluster with multiple namespaces. You need to create a shared network policy that allows pods in a specific namespace (‘dev’) to communicate with pods in another namespace (‘prod’), but only for specific ports. How would you configure this shared network policy?

NEW QUESTION 19
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

NEW QUESTION 20
Given a partially-functioningKubernetes cluster, identifysymptoms of failure on the cluster.
Determine the node, the failingservice, and take actions to bring upthe failed service and restore thehealth of the cluster. Ensure that anychanges are made permanently.
You cansshto the relevant Inodes (bk8s-master-0orbk8s-node-0) using:
[student@node-1] $ ssh<nodename>
You can assume elevatedprivileges on any node in thecluster with the followingcommand:
[student@nodename] $ | sudo -i

NEW QUESTION 21
Get IP address of the pod – “nginx-dev”

NEW QUESTION 22
You have a Deployment named running three replicas of a WordPress container. The WordPress application is experiencing intermittent errors, and you need to investigate the cause. You suspect that the errors might be related to issues with the logs generated by the WordPress container. How can you efficiently capture and analyze the ‘stdout’ and ‘stderr’ logs from all three pods in the ‘wordpress-deployment’ to pinpoint the root cause of the errors?

NEW QUESTION 23
List “nginx-dev” and “nginx-prod” pod and delete those pods

NEW QUESTION 24
Resume the rollout of the deployment

NEW QUESTION 25
What file type upload is supported as part of the basic WildFire service?

ELF

BAT

VBS

NEW QUESTION 26
Your Kubernetes cluster has been running for some time, and it’s becoming increasingly difficult to manage permissions for your applications. You are noticing a growing list of roles and role bindings, making it challenging to understand the relationships between them.
Describe a strategy to simplify and streamline your RBAC configuration by implementing best practices. Also, discuss how you can improve the manageability and auditing of your RBAC setup.

NEW QUESTION 27
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’.

NEW QUESTION 28
Create a ETCD backup of kubernetes cluster
Note : You don’t need to memorize command, refer –
https://kubernetes.io/docs/tasks/administer-cluster/configureupgrade-etcd/ during exam

ETCDCTL_API=3 etcdctl –endpoints=[ENDPOINT] –cacert=[CA CERT]
–cert=[ETCD SERVER CERT] –key=[ETCD SERVER KEY] snapshot save
[BACKUP FILE NAME]
In exam, cluster setup is done with kubeadm , this means ETCD
used by the kubernetes cluster is coming from static pod.
kubectl get pod -n kube-system
kubectl describe pod etcd-master -n kube-system
You can locate the information on
endpoint: – advertise-client-urls=https://172.17.0.15:2379
ca certificate: – trusted-cafile=/etc/kubernetes/pki/etcd/ca.crt
server certificate : – certfile=/etc/kubernetes/pki/etcd/server.crt
key: – key-file=/etc/kubernetes/pki/etcd/server.key
To Create backup
export ETCDCTL_API=3
(or)
ETCDCTL_API=3 etcdctl ETCDCTL_API=3 etcdctl —
endpoints=https://172.17.0.15:2379 —
cacert=/etc/kubernetes/pki/etcd/ca.crt —
cert=/etc/kubernetes/pki/etcd/server.crt —
key=/etc/kubernetes/pki/etcd/server.key snapshot save etcdsnapshot.db
//Verify
ETCDCTL_API=3 etcdctl –write-out=table snapshot status
snapshot.db

ETCDCTL_API=3 etcdctl –endpoints=[ENDPOINT] –cacert=[CA CERT]
–cert=[ETCD SERVER CERT] –key=[ETCD SERVER KEY] snapshot save
[BACKUP FILE NAME]
In exam, cluster setup is done with kubeadm , this means ETCD
used by the kubernetes cluster is coming from static pod.
kubectl get pod -n kube-system
kubectl describe pod etcd-master -n kube-system
You can locate the information on
endpoint: – advertise-client-urls=https://172.16.0.18:2379
ca certificate: – trusted-cafile=/etc/kubernetes/pki/etcd/ca.crt
server certificate : – certfile=/etc/kubernetes/pki/etcd/server.crt
key: – key-file=/etc/kubernetes/pki/etcd/server.key
To Create backup
export ETCDCTL_API=3
(or)
ETCDCTL_API=3 etcdctl ETCDCTL_API=3 etcdctl —
endpoints=https://172.17.0.15:2379 —
key=/etc/kubernetes/pki/etcd/server.key snapshot save etcdsnapshot.db
//Verify
ETCDCTL_API=3 etcdctl –write-out=table snapshot status
snapshot.db

NEW QUESTION 29
Check to see how many worker nodes are ready (not including nodes tainted NoSchedule) and write the number to /opt/KUCC00104/kucc00104.txt.

NEW QUESTION 30
You are running a Deployment named ‘web-app’ with 3 replicas of a web application container. The container image is hosted in a private registry accessible via a secret named ‘my-registry-secret’. You need to implement a rolling update strategy that allows for a maximum of one pod to be unavailable at any given time during the update process. Additionally, you need to configure a ‘pre-stop’ hook for the container that gracefully shuts down the web application before it is terminated.

NEW QUESTION 31
A Deployment named ‘my-app-deployment’ is experiencing frequent crashes. You suspect that a specific container within the Deployment is causing the crashes. How would you use Kubernetes tools and techniques to isolate and debug the problematic container?

See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Examine Pod Logs:
– Use “kubectl logs ‘ (where is the name of a crashing pod) to examine the logs from all containers within the pod. Look for error messages, unusual patterns, or indications of failing processes.
– Analyze the log messages carefully to identify which container is likely causing the crashes.
2. Investigate Pod Events:
– Use “kubectl describe pod ‘ to view the pod’s events.
– Look for events that might indicate a specific container is crashing or encountering issues during startup. Events will include timestamps and reasons for the events.
3. Check Container Resource Limits:
– Use ‘kubectl describe pod to check the resource requests and limits defined for each container within the pod.
– If the limits are too low, the containers might be being throttled or running out of resources, leading to crashes.
4. Use a Debugger:
– If you have access to the application code and a debugger (like a remote debugger in your development environment), you can attach to the problematic container to get more detailed information about its state and execution.
– Use the ‘kubectl exec’ command to access a container’s shell, and then run the debugger.
5. Consider Health Checks:
– Ensure that the containers have proper health checks defined (e.g., liveness probes or readiness probes).
– Health checks can help Kubernetes identify failing containers and restart them or remove them from service.
6. Isolate the Container:
– If you suspect that the container itself is faulty, try isolating it by temporarily disabling the problematic container from the pod. You can do this by either:
– Removing the container from the Pod definition: Temporarily modify the Deployment to remove the problematic container.
– Stopping the container: Use ‘kubectl exec’ to access the pod’s shell, and then stop the container.
7. Monitor and Repeat:
– After isolating the container, monitor the Deployment to see if the crashes stop.
– If the crashes are resolved, the isolated container was likely the cause. You can then focus on troubleshooting the container itself.

NEW QUESTION 32
Create a pod with environment variables as var1=value1.Check the environment variable in pod

NEW QUESTION 33
Scale the deployment from 5 replicas to 20 replicas and verify

NEW QUESTION 34
Create a pod as follows:
* Name: non-persistent-redis
* container Image: redis
* Volume with name: cache-control
* Mount path: /data/redis
The pod should launch in the staging namespace and the volume must not be persistent.

NEW QUESTION 35
Get list of all the pods showing name and namespace with a jsonpath expression.

NEW QUESTION 36
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.