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Linux Foundation KCNA (Kubernetes and Cloud Native Associate) Exam is a certification program that is designed to provide individuals with the skills and knowledge required to work with Kubernetes and cloud-native technologies. Kubernetes and Cloud Native Associate certification is ideal for individuals who are interested in pursuing a career in the field of cloud computing or for those who want to enhance their skills in this area. The program covers various areas such as containerization, orchestration, networking, security, and storage.
The KCNA Certification Exam consists of 50 multiple-choice questions that cover various topics related to Kubernetes and cloud-native technologies such as containerization, Kubernetes architecture, Kubernetes deployment, and application management. KCNA exam is designed to evaluate the candidate's understanding of these topics and their ability to apply this knowledge in real-world scenarios.
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Linux Foundation has been providing certification exams to individuals who want to demonstrate their expertise in open source technologies. One of their newest offerings is the KCNA (Kubernetes and Cloud Native Associate) Certification Exam. KCNA Exam is designed for individuals who want to prove their knowledge and skills in cloud native computing and Kubernetes.
Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q149-Q154):
NEW QUESTION # 149
Which part of a Kubernetes cluster is responsible for running container workloads?
Answer: C
Explanation:
Worker Nodes are responsible for executing containerized workloads.
NEW QUESTION # 150
Consider a serverless application on AWS Lambda that needs to read data from an Amazon S3 bucket. Which of the following is the most efficient way to access data from the S3 bucket within the Lambda function?
Answer: C
Explanation:
Streaming data directly from S3 to the Lambda function using the S3 API is the most efficient approach. It avoids downloading the entire object into memory reduces memory usage, and minimizes latency Option A is inefficient for large objects. Option B and C are valid methods but might introduce unnecessary overhead. Option E uses Kinesis for streaming but is overkill for a simple S3-to-Lambda data access scenario.
NEW QUESTION # 151
What is the purpose of the 'nodeSelector" field in a Pod's YAML definition?
Answer: B
Explanation:
The •nodeSelectors field allows you to specify labels that the node must have in order for the pod to be scheduled on it. This provides a way to control where pods are placed based on node characteristics or roles.
NEW QUESTION # 152
How can persistent volume be provisioned?
Answer: C
Explanation:
https://kubernetes.io/docs/concepts/storage/persistent-volumes/
NEW QUESTION # 153
A new Pod is created. Then, the Pod is assigned to a Node. Which Kubernetes component was re-sponsible for determining which Node to assign the Pod to?
Answer: C
Explanation:
https://kubernetes.io/docs/reference/command-line-tools-reference/kube-scheduler/
NEW QUESTION # 154
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