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| Certification Vendor: | Linux Foundation |
|---|---|
| Exam Name: | Certified Kubernetes Administrator (CKA) Program Exam |
| Exam Number: | CKA |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 15-20 |
| Passing Score: | 66% |
| Exam Duration: | 120 minutes |
| Exam Price: | $445 USD |
| Related Certifications: | Certified Kubernetes Application Developer (CKAD) Certified Kubernetes Security Specialist (CKS) |
| Exam Format: | Performance-based |
| Available Languages: | English |
| Sample Questions: | Linux Foundation CKA Sample Questions |
| Exam Way: | Online, proctored, performance-based exam. Candidates solve problems from a command line. |
| Pre Condition: | No prerequisites required. Candidates should have a conceptual and practical understanding of Kubernetes components and native objects. |
| Official Syllabus URL: | https://www.cncf.io/training/certification/cka/ |
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The CKA certification is an essential credential for professionals who want to demonstrate their proficiency in Kubernetes administration. Certified Kubernetes Administrator (CKA) Program Exam certification is recognized worldwide and is highly valued by organizations that use Kubernetes in their production environments. Certified Kubernetes Administrator (CKA) Program Exam certification provides a competitive edge to professionals and helps them stand out in a crowded job market. The CKA program also provides candidates with access to a community of certified professionals, resources, and tools that can help them advance their careers in Kubernetes administration.
NEW QUESTION # 39
One of the nodes in your Kubernetes cluster is experiencing high CPU usage, which is affecting the performance of the entire cluster. The node is running multiple pods, and you need to identify which pod is responsible for the high CPU consumption and take steps to resolve the issue.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify the High-CPU Node:
- Use 'kubectl top nodes' to view the CPU usage of each node in the cluster.
- Identify the node that is experiencing the high CPU usage.
2. List Pods on the Node:
- Use 'kubectl get pods -R to list all pods in the cluster.
- Filter the pods to find those running on the high-CPU node.
- For example, 'kubectl get pods -A I grep
3. Monitor Pod CPU Usage:
- Use 'kubectl top pod -n to view the CPU usage of each pod running on the node.
- Pay attention to the CPU usage metrics for each container within the pod.
4. Examine Pod Logs:
- Use "kubectl logs -f to view the logs of the suspected high-CPU pod.
- Search for any error messages, stack traces, or other indications that the pod is experiencing excessive CPU utilization.
5. Analyze Pod Resource Requests and Limits:
- Check the pod's resource requests and limits using 'kubectl describe pod
- Ensure that the pod is not requesting or using significantly more CPU resources than it needs.
- If the CPU requests are too high, the pod might be consuming excessive CPU even when idle.
6. Troubleshooting Options:
- Based on the analysis of the logs and resource usage:
- Adjust resource limits: If the pod is requesting too much CPU, reduce its CPU requests and limits in the Deployment YAML.
- Optimize container images: Use a smaller container image to reduce the resource footprint.
- Improve application code: Identify and address any inefficient code that is causing high CPU usage.
- Scale down the pod replicas: If the pod's workload is high, reduce the number of replicas to distribute the load across fewer pods.
- Consider using a different pod scheduling strategy: For example, use a node selector or taint to run the pod on a dedicated node with more resources.
7. Monitor and Adjust:
- After making changes to the pod's resources or configuration, monitor the node's CPU usage:
- Use 'kubectl top nodes' and 'kubectl top pod' to observe the impact of the changes.
- Adjust the configuration further if needed: Continue to optimize the pod's resource usage to bring the node's CPU usage back to a healthy level.
NEW QUESTION # 40
Task Weight: 4%
Task
Schedule a Pod as follows:
* Name: kucc1
* App Containers: 2
* Container Name/Images:
o nginx
o consul
Answer:
Explanation:
Solution:
Graphical user interface, text, application Description automatically generated
Text Description automatically generated
NEW QUESTION # 41
Create a pod that having 3 containers in it? (Multi-Container)
Answer:
Explanation:
image=nginx, image=redis, image=consul
Name nginx container as "nginx-container"
Name redis container as "redis-container"
Name consul container as "consul-container"
Create a pod manifest file for a container and append container
section for rest of the images
kubectl run multi-container --generator=run-pod/v1 --image=nginx --
dry-run -o yaml > multi-container.yaml
# then
vim multi-container.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
run: multi-container
name: multi-container
spec:
containers:
- image: nginx
name: nginx-container
- image: redis
name: redis-container
- image: consul
name: consul-container
restartPolicy: Always
NEW QUESTION # 42
Your organization uses a private DNS server for internal services and requires all Kubernetes pods to resolve names against this DNS server. You need to configure CoreDNS to forward all DNS requests to this private server.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Configure CoreDNS with Forwarding:
- In the CoreDNS ConfigMap, configure the 'forward' plugin to forward all DNS requests to your private DNS server.
2. Test DNS Resolution: - Use the 'nslookup' command from a pod in your cluster to test DNS resolution for internal services. - The requests should be forwarded to the private DNS server, and the corresponding records should be returned.
NEW QUESTION # 43
Set the node named ek8s-node-1 as unavailable and reschedule all the pods running on it.
Answer:
Explanation:
solution
NEW QUESTION # 44
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