CKA FREE EXAM DUMPS EXAM INSTANT DOWNLOAD | UPDATED CKA: CERTIFIED KUBERNETES ADMINISTRATOR (CKA) PROGRAM EXAM

CKA Free Exam Dumps Exam Instant Download | Updated CKA: Certified Kubernetes Administrator (CKA) Program Exam

CKA Free Exam Dumps Exam Instant Download | Updated CKA: Certified Kubernetes Administrator (CKA) Program Exam

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The CKA program is an online, performance-based certification exam that tests candidates’ skills in managing and deploying Kubernetes clusters. CKA exam is designed to evaluate the candidate’s ability to perform real-world tasks using Kubernetes, such as installing and configuring Kubernetes, deploying applications, managing storage, and troubleshooting common issues. CKA exam consists of 24 performance-based tasks that must be completed within three hours. Candidates must demonstrate their ability to complete these tasks efficiently and accurately to pass the exam.

The CKA Exam is challenging and requires a lot of preparation. CKA exam is designed to test the candidate's ability to perform various tasks, including deploying applications, configuring network policies, and troubleshooting cluster issues. CKA exam is conducted using a real-world Kubernetes environment, and the candidate has access to all the necessary tools and resources. To pass the exam, the candidate must score at least 74%, and the exam is valid for three years.

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q38-Q43):

NEW QUESTION # 38
Score: 4%

Task
Check to see how many nodes are ready (not including nodes tainted NoSchedule ) and write the number to /opt/KUSC00402/kusc00402.txt.

Answer:

Explanation:
Solution:
kubectl describe nodes | grep ready|wc -l
kubectl describe nodes | grep -i taint | grep -i noschedule |wc -l
echo 3 > /opt/KUSC00402/kusc00402.txt
#
kubectl get node | grep -i ready |wc -l
# taints、noSchedule
kubectl describe nodes | grep -i taints | grep -i noschedule |wc -l
#
echo 2 > /opt/KUSC00402/kusc00402.txt


NEW QUESTION # 39
Create a pod with image nginx called nginx and allow traffic on port 80

Answer:

Explanation:
See the solution below.
Explanation
kubectlrun nginx --image=nginx --restart=Never --port=80


NEW QUESTION # 40
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

Answer:

Explanation:
solution





NEW QUESTION # 41
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?

Answer:

Explanation:
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 # 42
Create a daemonset named "Prometheus-monitoring" using image=prom/Prometheus which runs in all the nodes in the cluster. Verify the pod running in all the nodes

  • A. vim promo-ds.yaml
    apiVersion: apps/v1
    kind: DaemonSet
    metadata:
    name: prometheus-monitoring
    spec:
    selector:
    matchLabels:
    name: prometheus
    template:
    metadata:
    labels:
    name: prometheus
    spec:
    tolerations:
    # remove it if your masters can't run pods
    - key: node-role.kubernetes.io/master
    effect: NoSchedule
    containers:
    - name: prometheus-container
    image: prom/prometheus
    volumeMounts:
    - name: varlog
    mountPath: /var/log
    - name: varlibdockercontainers
    mountPath: /var/lib/docker/containers
    readOnly: true
    volumes:
    - name: varlog
    emptyDir: {}
    - name: varlibdockercontainers
    emptyDir: {}
    kubectl apply -f promo-ds.yaml
    NOTE: Deamonset will get scheduled to "default" namespace, to
    schedule deamonset in specific namespace, then add
    "namespace" field in metadata
    //Verify
    kubectl get ds
    NAME DESIRED CURRENT READY UP-TO-DATE
    AVAILABLE NODE SELECTOR AGE
    prometheus-monitoring 6 6 0 6
    0 <none> 7s
    kubectl get no # To get list of nodes in the cluster
    // There are 6 nodes in the cluster, so a pod gets scheduled to
    each node in the cluster
  • B. vim promo-ds.yaml
    apiVersion: apps/v1
    kind: DaemonSet
    metadata:
    name: prometheus-monitoring
    spec:
    selector:
    matchLabels:
    name: prometheus
    template:
    metadata:
    labels:
    name: prometheus
    spec:
    tolerations:
    # remove it if your masters can't run pods
    - key: node-role.kubernetes.io/master
    effect: NoSchedule
    containers:
    - name: prometheus-container
    - name: varlibdockercontainers
    mountPath: /var/lib/docker/containers
    readOnly: true
    volumes:
    - name: varlog
    emptyDir: {}
    - name: varlibdockercontainers
    emptyDir: {}
    kubectl apply -f promo-ds.yaml
    NOTE: Deamonset will get scheduled to "default" namespace, to
    schedule deamonset in specific namespace, then add
    "namespace" field in metadata
    //Verify
    kubectl get ds
    NAME DESIRED CURRENT READY UP-TO-DATE
    AVAILABLE NODE SELECTOR AGE
    prometheus-monitoring 8 8 0 6
    0 <none> 7s
    kubectl get no # To get list of nodes in the cluster
    // There are 6 nodes in the cluster, so a pod gets scheduled to
    each node in the cluster

Answer: A


NEW QUESTION # 43
......

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