EXAM CKA TOPIC, CKA VALID BRAINDUMPS PDF

Exam CKA Topic, CKA Valid Braindumps Pdf

Exam CKA Topic, CKA Valid Braindumps Pdf

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The CKA certification exam is a hands-on, performance-based assessment that tests an individual's ability to perform real-world tasks on a Kubernetes cluster. CKA exam consists of a set of performance-based tasks that are designed to assess an individual's knowledge and skills in Kubernetes administration. CKA exam is conducted in a live environment, and candidates are required to demonstrate their ability to perform tasks such as configuring nodes, managing pods, and troubleshooting network issues. CKA Exam is designed to test an individual's ability to work efficiently and effectively with Kubernetes clusters.

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q60-Q65):

NEW QUESTION # 60
You are managing a Kubernetes cluster for a company with multiple teams working on different projects. You want to implement RBAC to ensure each team has access only to the resources they need.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Team A (developers) needs to create and manage deployments, pods, and services in the "dev" namespace.
Team B (ops) needs to manage the cluster's overall health and can access all resources in all namespaces.
Team C (security) needs to audit and monitor all cluster activity but cannot modify any resources.
Create a YAML file to define the roles and role bindings to implement this RBAC setup.
Solution (Step by Step) :
1 . Create the "dev" namespace:
kubectl create namespace dev
2. Define the "dev-team" role:

3. Create the "dev-team" role binding:

4. Define the "ops-team" role:

5. Create the "ops-team" role binding:

6. Define the "security-team" role:

7. Create the "security-team" role binding:

8. Apply the YAML file to the cluster: kubectl apply -f rbac-config.yaml


NEW QUESTION # 61
Monitor the logs of pod foo and:
* Extract log lines corresponding unable-to-access-website
* Write them to/opt/KULM00201/foo

Answer:

Explanation:
See the solution below.
Explanation
solution


NEW QUESTION # 62
Kubernetes. The microservices communicate with each other via a shared database. Explain how you would implement a strategy to manage persistent data in the database, ensuring availability and scalability for all microservices.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Use a Database with High Availability:
- Select a database system that supports high availability, such as MySQL with Galera or PostgreSQL with Patroni. These database systems can replicate data across multiple nodes, providing fault tolerance and scalability.
2. Deploy the Database as a StatefulSet:
- Create a StatefulSet for your database deployment, ensuring that each pod is assigned a unique name and volume claim. This will ensure that the database data is preserved even if pods are restarted or deleted.
3. Implement Persistent Volumes and Claims:
- Define PersistentVolumeClaims (PVCs) for each database node, requesting a storage class that provides the desired performance and resilience.
- Create corresponding PersistentVolumes (PVs) to back these PVCs, ensuring sufficient capacity and appropriate access modes.
4. Configure Microservice Pods to Access the Database:
- Configure each microservice pod to access the database using the StatefulSet's service name or a dedicated database service.
5. Utilize a Service Mesh:
- Consider deploying a service mesh like Istio to manage communication between microservices and the database. A service mesh provides features like load balancing, service discovery, and security, simplifying communication management.
6. Implement Monitoring and Alerting:
- Monitor the health and performance of both the database and microservices to quickly detect and resolve any issues. Configure alerts to notify you of critical events or failures.
7. Scale the Database as Needed:
- Use horizontal pod autoscaling (HPA) to automatically scale the database deployment based on its load. This ensures that the database can handle increasing traffic.


NEW QUESTION # 63
Score: 4%

Context
You have been asked to create a new ClusterRole for a deployment pipeline and bind it to a specific ServiceAccount scoped to a specific namespace.
Task
Create a new ClusterRole named deployment-clusterrole, which only allows to create the following resource types:
* Deployment
* StatefulSet
* DaemonSet
Create a new ServiceAccount named cicd-token in the existing namespace app-team1.
Bind the new ClusterRole deployment-clusterrole lo the new ServiceAccount cicd-token , limited to the namespace app-team1.

Answer:

Explanation:
See the solution below.
Explanation
Solution:
Task should be complete on node -1 master, 2 worker for this connect use command
[student@node-1] > ssh k8s
kubectl create clusterrole deployment-clusterrole --verb=create
--resource=deployments,statefulsets,daemonsets
kubectl create serviceaccount cicd-token --namespace=app-team1
kubectl create rolebinding deployment-clusterrole --clusterrole=deployment-clusterrole
--serviceaccount=default:cicd-token --namespace=app-team1


NEW QUESTION # 64
You have a Deployment named 'my-app' with 5 replicas running an application container. You need to implement a rolling update strategy that allows for a maximum of 2 pods to be unavailable at any given time during the update process. Additionally, you want to ensure that the update process is triggered automatically whenever a new image is pushed to the Docker Hub repository 'my.org/my-app:latest'.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAML:
- Update the 'replicas' to 5.
- Define 'maxUnavailable: 2' and 'maxSurge: 0' in the 'strategy.rollingUpdate' section to control the rolling update process.
- Configure a 'strategy.type' to 'RollingUpdate' to trigger a rolling update when the deployment is updated.
- Add a 'spec.template.spec.imagePullPolicy: Always' to ensure that the new image is pulled even if it exists in the pod's local cache.

2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f my-app.yamP 3. Verify the Deployment: - Check the status of the deployment using 'kubectl get deployments my-app' to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Push a new image to the 'my.org/my-app:latest' Docker Hub repository. 5. Monitor the Deployment: - Use 'kubectl get pods -l app=my-app' to monitor the pod updates during the rolling update process. You will observe that up to 2 pods are terminated at a time, while new pods with the updated image are created. 6. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment my-app' to see that the 'updatedReplicas' field matches the 'replicas' field, indicating a successful update.


NEW QUESTION # 65
......

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