CKA STUDY DUMPS, RELIABLE CKA GUIDE FILES

CKA Study Dumps, Reliable CKA Guide Files

CKA Study Dumps, Reliable CKA Guide Files

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Reliable CKA Guide Files, Valid CKA Study Notes

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q10-Q15):

NEW QUESTION # 10
have a Kubernetes cluster with limited resources. You have two Deployments: 'app-a' and 'app-b'. Both Deployments require the same resource limits (CPU and memory) but have different resource requests. 'app-a' requests 500m CPU and 512Mi memory, while 'app-b' requests 1000m CPU and IGi memory. When you create a new Pod for 'app-a', it gets scheduled successfully, but when you try to create a new Pod for 'app-b' , it fails to schedule. Explain why the Pod for 'app-b' fails to schedule, and suggest a solution to resolve the issue.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Understanding the issue: The Pod for 'app-b' fails to schedule because it requests more resources (1000m CPU and IGi memory) than are currently available in the cluster. The scheduler prioritizes Pods that can fit within the available resources, and since 'app-b' exceeds the available resources, it cannot be scheduled.
2. Solution: You can solve this issue by either:
a) Increase Cluster Resources: The most straightforward solution is to increase the resources available in your Kubernetes cluster. This could involve adding more nodes with more CPU and memory or upgrading existing nodes with more powerful hardware.
b) Adjust Resource Requests for 'app-b': If increasing cluster resources is not an option, you can try to adjust the resource requests for 'app-b' to match the available resources. You could reduce the CPU request from 1000m to 500m and the memory request from IGi to 512Mi. This would allow 'app-b' to fit within the available resources and be scheduled. However, reducing resource requests could potentially impact the performance of app-b', so it's important to monitor its performance after the adjustment.
3. Implementation (Example Code):
- Option a (Increase Cluster Resources):
- This involves managing your Kubernetes infrastructure.
- Depending on your Kubernetes setup, you may need to use commands like 'kubectl scale' or 'kubectl apply -f deployment.yamr to manage the deployment of your application.
- For detailed instructions on how to manage your cluster, consult your cluster provider's documentation or the Kubernetes documentation.
- Option b (Adjust Resource Requests):

4. Verification: After implementing either option, you can verify the scheduling by creating a new Pod for 'app- b'. If the Pod is scheduled successfully, the solution has been implemented successfully.


NEW QUESTION # 11
Create a configmap called myconfigmap with literal value
appname=myapp

  • A. kubectl create cm myconfigmap --from-literal=appname=myapp
    // Verify
    (or)
    kubectl describe cm
  • B. kubectl create cm myconfigmap --from-literal=appname=myapp
    // Verify
    kubectl get cm -o yaml
    (or)
    kubectl describe cm

Answer: B


NEW QUESTION # 12
You have a deployment that runs multiple replicas of a web server application. You need to ensure that the Deployment always maintains at least 2 replicas available, even if one or more pods are deleted or become unavailable. How can you configure the Deployment to achieve this using the 'maxUnavailable' field in the 'strategy.rollingUpdate' section?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the Deployment with maxUnavailable': Define a Deployment YAML file with 'replicas: 3', indicating that you want three replicas of the web server application. Then, in the 'strategy.rollinglJpdate' section, set the 'maxUnavailable' field to '1'.

2. Apply the Deployment: Apply the YAML file to your cluster using 'kubectl apply -f my-web-server.yamr. The deployment will create three replicas of your web server application. 3. Test the 'maxUnavailable' Configuration: Delete or terminate one of the pods in the Deployment. The Deployment will automatically create a new pod to replace the deleted or unavailable one, ensuring that at least two replicas are always available. You can monitor the status of the deployment using 'kubectl get pods -l app=my-web-server'. You should see that two pods are consistently running, while the third is being replaced.


NEW QUESTION # 13
Create a pod that echo "hello world" and then exists. Have the pod deleted automatically when it's completed

Answer:

Explanation:
kubectl run busybox --image=busybox -it --rm --restart=Never --
/bin/sh -c 'echo hello world'
kubectl get po # You shouldn't see pod with the name "busybox"


NEW QUESTION # 14
You are running a Kubernetes cluster with a large number of deployments and services. You need to improve the performance and efficiency of DNS resolution, especially during peak traffic periods.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Increase CoreDNS Resources:
- Allocate more CPU, memory, and storage resources to the CoreDNS Deployment to handle increased DNS traffic.

2. Configure CoreDNS for Efficient Caching: - Use CoreDNS's 'cache' plugin to store DNS records in memory and reduce the need for frequent DNS queries.

3. Use a Distributed DNS Server: - If you have a very large cluster with high traffic, consider using a distributed DNS server like etcd or Consul. This can help to improve performance and scalability. 4. Use DNS over TLS (DOT) or DNS over HTTPS (DoH): - Enable secure DNS communication to reduce the risk of DNS poisoning attacks, which can significantly impact performance.

5. Monitor CoreDNS Performance: - Use metrics and logs to monitor CoreDNS performance and identify potential bottlenecks. This will help you adjust your configuration and resource allocation as needed. ]


NEW QUESTION # 15
......

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