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The CKA Program Exam is a valuable certification for IT professionals who are interested in building their knowledge of Kubernetes administration. CKA exam is recognized by many organizations and is a great way to demonstrate your competence and expertise in Kubernetes management. If you are interested in pursuing a career in container orchestration and management, the CKA Exam is a great place to start.
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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q21-Q26):
NEW QUESTION # 21
Create a deployment spec file that will:
* Launch 7 replicas of the nginx Image with the labelapp_runtime_stage=dev
* deployment name: kual00201
Save a copy of this spec file to /opt/KUAL00201/spec_deployment.yaml
(or /opt/KUAL00201/spec_deployment.json).
When you are done, clean up (delete) any new Kubernetes API object that you produced during this task.
Answer:
Explanation:
See the solution below.
Explanation
solution

NEW QUESTION # 22
Create a Kubernetes secret asfollows:
* Name: super-secret
* password: bob
Create a pod namedpod-secrets-via-file Image, which mounts a secret namedsuper-secretat
/secrets.
Create a second pod namedpod-secrets-via-env Image, which exportspasswordas CONFIDENTIAL
Answer:
Explanation:
See the solution below.
Explanation
solution


NEW QUESTION # 23
You are running a Kubernetes cluster with a NodePort service exposing a web application on port 80. You want to access the web application from a client machine outside the cluster. However, the client machine is behind a NAT gateway and you cannot directly configure firewall rules on the gateway. How can you configure the Kubernetes cluster to allow the client machine to access the web application?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a NodePort Service:
- Create a NodePort service that exposes port 80 of the web application on a specific NodePort (for example,
30080).
- Code:
2. Configure NAT Gateway: - Configure the NAT gateway to forward traffic from the client machine's IP address and port to the Kubernetes cluster's IP address and the NodePort. - Note: This configuration will depend on the specific NAT gateway and its configuration options. 3. Access the Application: - On the client machine, access the web application by using the Kubernetes cluster's IP address and the NodePort. - Example: 'http://:30080'
NEW QUESTION # 24
You have a Kubernetes cluster with a variety of namespaces: 'default', 'development', 'production', and 'testing'. You need to implement granular role-based access control (RBAC) to ensure that:
- Developers in the 'development' namespace can only create and delete pods within that namespace.
- Developers in the 'testing' namespace can only create, delete and scale pods within that namespace.
- Production team members in the 'production' namespace can only view pods and deployments.
Provide the necessary YAML files for the Role, RoleBinding, and ServiceAccount objects to enforce these permissions. Ensure that the service accounts are bound to specific namespaces and that the RoleBindings are correctly defined to grant the necessary access to each group.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Create a ServiceAccount for Developers in the 'development' namespace:
2. Create a ServiceAccount for Developers in the 'testing' namespace:
3. Create a ServiceAccount for Production Team members in the 'production' namespace:
4. Create a Role for Developers in the 'development' namespace:
5. Create a Role for Developers in the 'testing' namespace:
6. Create a Role for Production Team members in the 'production' namespace:
7. Create a RoleBinding for Developers in the 'development' namespace:
8. Create a RoleBinding for Developers in the 'testing' namespace:
9. Create a RoleBinding for Production Team members in the 'production' namespace:
10. Apply the YAML files using 'kubectl apply -f' ,
NEW QUESTION # 25
Create a persistent volume with nameapp-data, of capacity2Giandaccess modeReadWriteMany. Thetype of volume ishostPathand itslocation is/srv/app-data.
Answer:
Explanation:
See the solution below.
Explanation
solution
Persistent Volume
A persistent volume is a piece of storage in aKubernetes cluster. PersistentVolumes are a cluster-level resource like nodes, which don't belong to any namespace. It is provisioned by the administrator and has a particular file size. This way, a developer deploying their app on Kubernetes need not knowthe underlying infrastructure.
When the developer needs a certain amount of persistent storage for their application, the system administrator configures the cluster so that they consume the PersistentVolume provisioned in an easy way.
Creating PersistentVolume
kind: PersistentVolumeapiVersion: v1metadata:name:app-dataspec:capacity: # defines the capacity of PV we are creatingstorage:2Gi#the amount of storage we are tying to claimaccessModes: # defines the rights of the volumewe are creating-ReadWriteManyhostPath:path: "/srv/app-data" # path to which we are creating the volume Challenge
* Create a Persistent Volume named ReadWriteMany, storage classname
shared,2Giof storage capacity and the host path
2. Save the file and create the persistent volume.
Image for post
3. View the persistent volume.
* Our persistent volume status is available meaning it is available and it has not been mounted yet. This status willchange when we mount the persistentVolume to a persistentVolumeClaim.
PersistentVolumeClaim
In a real ecosystem, a system admin will create the PersistentVolume then a developer will create a PersistentVolumeClaim which will be referenced in a pod. A PersistentVolumeClaim is created by specifying the minimum size and the access mode they require from the persistentVolume.
Challenge
* Create a Persistent Volume Claim that requests the Persistent Volume we had created above. The claim should request 2Gi. Ensurethat the Persistent Volume Claim has the same storageClassName as the persistentVolume you had previously created.
kind: PersistentVolumeapiVersion: v1metadata:name:
spec:
accessModes:-ReadWriteManyresources:
requests:storage:2Gi
storageClassName:shared
2. Save and create the pvc
njerry191@cloudshell:~(extreme-clone-2654111)$ kubect1 create -f app-data.yaml persistentvolumeclaim/app-data created
3. View the pvc
Image for post
4. Let's see what has changed in the pv we had initially created.
Image for post
Our status has now changed fromavailabletobound.
5. Create a new pod named myapp with image nginx that will be used to Mount the Persistent Volume Claim with the path /var/app/config.
Mounting a Claim
apiVersion: v1kind: Podmetadata:creationTimestamp: nullname: app-dataspec:volumes:- name:congigpvcpersistenVolumeClaim:claimName: app-datacontainers:- image: nginxname:
appvolumeMounts:- mountPath: "
NEW QUESTION # 26
......
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