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| Certification Vendor: | Linux Foundation / Cloud Native Computing Foundation (CNCF) |
|---|---|
| Exam Name: | Certified Kubernetes Administrator (CKA) Program Exam |
| Exam Number: | CKA |
| Exam Duration: | 120 minutes |
| Related Certifications: | Certified Kubernetes Application Developer (CKAD) Certified Kubernetes Security Specialist (CKS) |
| Exam Format: | Hands-on in real Kubernetes environment, Command-line tasks, Performance-based, Online proctored |
| Available Languages: | Japanese, Simplified Chinese, English |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 15-20 performance-based tasks |
| Exam Price: | $445 USD |
| Passing Score: | 66% |
| Recommended Training: | LFS258: Kubernetes Fundamentals Introduction to Kubernetes (Free Course) |
| Exam Registration: | Linux Foundation Training Portal |
| Sample Questions: | Linux Foundation CKA Sample Questions |
| Exam Way: | Online, remotely proctored via PSI; browser-based terminal environment |
| Pre Condition: | No formal prerequisites; basic Linux and Kubernetes knowledge recommended |
| Official Syllabus URL: | https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka/ |
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Linux Foundation CKA: Certified Kubernetes Administrator (CKA) Program is an excellent certification program for individuals who want to enhance their skills and knowledge in Kubernetes administration. The program provides individuals with the necessary skills to manage and administer Kubernetes clusters effectively, ensuring that applications are deployed and maintained efficiently. Certified Kubernetes Administrator (CKA) Program Exam certification is highly regarded in the industry and is recognized globally, making it a valuable asset for individuals looking to enhance their career opportunities.
The CKA exam is a hands-on, performance-based exam that tests the candidate's ability to perform tasks commonly required of Kubernetes administrators. It is designed to be challenging and requires a deep understanding of Kubernetes concepts, architecture, and deployment. CKA Exam covers topics such as deploying and scaling applications, configuring networking, managing storage, and troubleshooting common issues. Passing the CKA exam demonstrates that the candidate has the skills and knowledge required to effectively manage Kubernetes clusters and is recognized as a valuable credential in the industry.
NEW QUESTION # 79
Check the image version in pod without the describe command
Answer:
Explanation:
See the solution below.
Explanation
kubectl get po nginx -o
jsonpath='{.spec.containers[].image}{"\n"}'
NEW QUESTION # 80
Create a file called "config.txt" with two values key1=value1
and key2=value2. Then create a configmap named "keyvalcfgmap" andread data from the file "config.txt" and verify that configmap is created correctly
Answer: A
NEW QUESTION # 81
Create a pod as follows:
Name: non-persistent-redis
container Image: redis
Volume with name: cache-control
Mount path: /data/redis
The pod should launch in the staging be persistent.
Answer:
Explanation:
See the solution below.
Explanation
solution
F:\Work\Data Entry Work\Data Entry\20200827\CKA\13 B.JPG
F:\Work\Data Entry Work\Data Entry\20200827\CKA\13 C.JPG
F:\Work\Data Entry Work\Data Entry\20200827\CKA\13 D.JPG
NEW QUESTION # 82
List the nginx pod with custom columns POD_NAME and POD_STATUS
Answer:
Explanation:
kubectl get po -o=custom-columns="POD_NAME:.metadata.name,
POD_STATUS:.status.containerStatuses[].state"
NEW QUESTION # 83
Your team has deployed a containerized application on Kubernetes. You have configured a deployment with a replica count of 3 pods. The application uses a resource-intensive process that consumes a significant amount of CPU resources. You are experiencing performance issues and suspect that the pods are competing for resources. Explain how you can use resource quotas and limits to address this problem.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define Resource Limits for Pods:
- Modify the deployment configuration to set resource limits for each pod, specifying the maximum CPU and memory resources they can consume. This prevents pods from exceeding their resource allocations, ensuring fairer resource distribution.
2. Implement Resource Quotas at the Namespace Level: - Define resource quotas for the namespace where your application is running. This limits the overall resource consumption within the namespace, preventing any single pod from monopolizing resources.
3. Monitor Resource Usage and Adjust Limits: - Continuously monitor the resource usage of your pods and the namespace. Analyze the CPU and memory utilization to identify any resource contention. - Adjust resource limits and quotas as needed to fine-tune the resource allocation and improve performance.
NEW QUESTION # 84
......
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