VALID LINUX FOUNDATION CKA TEST QUESTIONS & CKA BRAINDUMPS FILES & CKA TEST ENGINE

Valid Linux Foundation CKA test questions & CKA braindumps files & CKA test engine

Valid Linux Foundation CKA test questions & CKA braindumps files & CKA test engine

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Tags: CKA Exam Quick Prep, CKA Reliable Exam Answers, CKA Reliable Test Vce, Sample CKA Exam, Valid CKA Exam Papers

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CKA practice questions and pass it with confidence. As far as the top features of CKA exam dumps are concerned, these Linux Foundation CKA latest questions are real and verified by Linux Foundation CKA certification exam experts. With the Linux Foundation CKA Practice Test questions you will get everything that you need to learn, prepare and get success in the final Certified Kubernetes Administrator (CKA) Program Exam certification exam.

Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q70-Q75):

NEW QUESTION # 70
You are tasked with configuring RBAC for a Kubernetes cluster hosting a microservices application.
The application consists of three services:
- 'frontend' which only needs to access the 'nginx-ingress-controller' deployment to configure Ingress resources.
- 'backend' which needs read-only access to the 'postgres' service for database queries.
- 'worker' which needs to create, update, and delete pods in the 'worker-namespace' namespace and access the 'redis' service.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Create the necessary RBAC roles, role bindings, and service accounts to enable these permissions.
Solution (Step by Step) :
1 . Create Service Accounts:
kubectl create serviceaccount frontend-sa -n default
kubectl create serviceaccount backend-sa -n default
kubectl create serviceaccount worker-sa -n worker-namespace
2. Create Roles:


3. Create Role Bindings: kubectl create rolebinding frontend-binding -n default -role=frontend-role serviceaccount=default:frontend-sa kubectl create rolebinding backend-binding -n default --role=backend-role - serviceaccount=default:backend-sa kubectl create rolebinding worker-binding -n worker-namespace -role=worker-role - serviceaccount=worker- namespace:worker-sa 4. Grant Access to Services: Frontend: The 'frontend' service account should have access to the 'nginx-ingress-controller' deployment. This can be done through a Role or ClusterRole and RoleBinding or ClusterRoleBinding, depending on if the controller is in the same namespace or across namespaces. Backend: The 'backend' service account should have read-only access to the postgres' service. This can be achieved by creating a 'ServiceAccount' for the 'backend' service and binding it to a 'Role' that grants the necessary permissions on the 'postgres' service. Worker: The 'worker' service account should have full access (create, update, delete) to pods in the 'worker- namespace' and read access to the 'redis' service. Important Notes: - The provided 'kubectl' commands are illustrative. You may need to adjust them based on your specific cluster configuration. - The above RBAC configuration is a basic example. Depending on the specific needs of your application, you may need to configure more granular roles and bindings.


NEW QUESTION # 71
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 # 72
Scale the deployment webserver to

Answer:

Explanation:
See the solution below.
Explanation
solution
F:WorkData Entry WorkData Entry20200827CKA14 B.JPG


NEW QUESTION # 73
Create a pod with environment variables as var1=value1.Check the environment variable in pod

Answer:

Explanation:
See the solution below.
Explanation
kubectl run nginx --image=nginx --restart=Never --env=var1=value1
# then
kubectl exec -it nginx -- env
# or
kubectl exec -it nginx -- sh -c 'echo $var1'
# or
kubectl describe po nginx | grep value1


NEW QUESTION # 74
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.

Answer:

Explanation:
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


NEW QUESTION # 75
......

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