PDF CKA VCE | CKA Exam Topics
PDF CKA VCE | CKA Exam Topics
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P.S. Free 2025 Linux Foundation CKA dumps are available on Google Drive shared by BraindumpsVCE: https://drive.google.com/open?id=1tXeDUFORTLzMuSteUHchAUIWj0TIL4CL
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The CKA program is highly respected in the industry and is recognized by many employers as a standard for Kubernetes expertise. It is a valuable certification for IT professionals who want to demonstrate their skills and knowledge in managing Kubernetes clusters. CKA exam is available online and can be taken remotely, making it accessible to IT professionals around the world.
Linux Foundation CKA (Certified Kubernetes Administrator) program is a certification that recognizes an individual's expertise in managing and deploying applications on the Kubernetes platform. Certified Kubernetes Administrator (CKA) Program Exam certification is designed for professionals who have a solid understanding of Kubernetes and its underlying components, including networking, storage, security, and cluster architecture. The CKA program is ideal for individuals who are looking to enhance their Kubernetes skillset and are interested in pursuing a career in DevOps, cloud computing, or containerization.
Linux Foundation CKA Exam Topics - New CKA Test Online
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The CKA program is an excellent way for IT professionals to showcase their expertise in Kubernetes administration and advance their careers. Becoming a certified Kubernetes administrator can help professionals stand out in a crowded job market and demonstrate their commitment to ongoing learning and professional development. The CKA program is also a valuable resource for organizations that are looking to hire Kubernetes administrators. By hiring certified Kubernetes administrators, organizations can ensure that they have the skills and knowledge needed to effectively manage Kubernetes clusters and support their cloud-native applications.
Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q107-Q112):
NEW QUESTION # 107
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 # 108
You are tasked with setting up fine-grained access control for a Kubernetes cluster running a microservices application. You need to ensure that developers can only access the resources related to their specific microservices while preventing them from accessing or modifying other services' resources. Define RBAC roles and permissions to achieve this, including details of the resources, verbs, and namespaces involved. Consider the following:
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Specify the YAML configurations for roles, role bindings, and service accounts to enable the required access control, ensuring developers only have access to their respective microservice's resources within their assigned namespaces. Solution (Step by Step) : 1. Define Roles:
2. Create Service Accounts: apiVersion: vl kind: ServiceAccount metadata: name: order-service-sa namespace: order-service-ns -- apiVersion: vl kind: ServiceAccount metadata: name: payment-service-sa namespace: payment-service-ns -- apiVersion: vl kind: ServiceAccount metadata: name: inventory-service-sa namespace: inventory-service-ns 3. Bind Roles to Service Accounts: -- apiVersion: rbac.authorization.k8s.io/v1 kind: RoleBinding metadata: name: order-service-dev-binding namespace: order-service-ns roleRef: apiGroup: rbac.authorization.k8s.io kind: Role name: order-service-dev subjects: - kind: ServiceAccount name: order-service-sa namespace: order-service-ns -- apiVersion: rbac.authorization.k8s.io/v1 kind: RoleBinding metadata: name: payment-service-dev-binding namespace: payment-service-ns roleRef: apiGroup: rbac.authorization.k8s.io kind: Role name: payment-service-dev subjects: - kind: ServiceAccount name: payment-service-sa namespace: payment-service-ns -- apiVersion: rbac.authorization.k8s.io/v1 kind: RoleBinding metadata: name: inventory-service-dev-binding namespace: inventory-service-ns roleRef: apiGroup: rbac.authorization.k8s.io kind: Role name: inventory-service-dev subjects: - kind: ServiceAccount name: inventory-service-sa namespace: inventory-service-ns 4. Assign Service Accounts to Users: This step requires external authentication mechanisms like OIDC or LDAP. Assuming you have these mechanisms set up, you can associate the service accounts with specific users ('[email protected]' , '[email protected]', and '[email protected]') using the configured authentication provider. Roles: Define the specific permissions for each microservice developer within their respective namespaces. The roles allow developers to access resources like Pods, Deployments, Services, ConfigMaps, and Secrets related to their assigned microservice. Service Accounts: Service accounts are created in each namespace for each microservice, representing the identity of the developer group. Role Bindings: Role bindings connect the defined roles with the service accounts, granting the associated permissions. User Association: This step connects the service accounts with individual developers through external authentication mechanisms, enabling them to utilize the assigned permissions. By following these steps, you ensure that developers can only access and manage resources associated with their respective microservices within their assigned namespaces. This fine-grained access control policy effectively restricts access and prevents developers from interfering with other microservices or resources. ,
NEW QUESTION # 109
A Kubernetes worker node, named wk8s-node-0 is in state NotReady. Investigate why this is the case, and perform any appropriate steps to bring the node to a Ready state, ensuring that any changes are made permanent.
You can ssh to the failed node using:
[student@node-1] $ | ssh Wk8s-node-0
You can assume elevated privileges on the node with the following command:
[student@w8ks-node-0] $ | sudo -i
Answer:
Explanation:
See the solution below.
Explanation
solution
NEW QUESTION # 110
You have a Kubernetes cluster with three nodes. Nodel and Node2 are in the 'default' availability zone, while Node3 is in the 'us-east-I a' availability zone. You want to ensure that pods are spread across all three nodes, considering the availability zones.
Describe how to configure the cluster to achieve this goal, specifically addressing how to leverage 'nodeSelector' and/or 'affinity' to enforce desired node placement. Explain the rationale behind your chosen approach.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
Step 1: Configure Node Labels
Label each node with its corresponding availability zone:
For Node1 and Node2 (in 'default' availability zone):
kubectl label node availability-zone=default
For Node3 (in availability zone):
kubectl label node availability-zone=us-east-Ia
Step 2: Use Node Selector
Use 'nodeSelector' in your Deployment or Pod definition to specify the desired availability zone:
This ensures pods with the 'nginx-deployment' label will be scheduled only on Node3. Step 3: Use Affinity (Optional) You can also use 'affinity' for more fine-grained control. For example, to ensure that pods are spread across different availability zones:
This configuration will prefer scheduling pods in different availability zones. Rationale: Node Selector: Provides a simple mechanism to direct pods to specific nodes based on labels. Affinity: Offers more advanced options, including 'podAntiAffinity" to spread pods across nodes (or availability zones) and 'podAffinity' to ensure pods are scheduled on the same node. Availability Zone: Distributes pods across different zones for high availability, as failures in one zone won't impact pods scheduled in other zones. ,
NEW QUESTION # 111
Get list of persistent volumes and persistent volume claim in the cluster
Answer:
Explanation:
kubectl get pv kubectl get pvc
NEW QUESTION # 112
......
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