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Linux Foundation KCNA Exam is an excellent opportunity for IT professionals to validate their skills and knowledge in cloud-native technologies. Whether you are a developer, system administrator, or IT manager, the certification can help you advance your career and stay competitive in the rapidly evolving world of cloud computing.

The Kubernetes and Cloud Native Associate (KCNA) certification exam is offered by the Linux Foundation, a non-profit organization that aims to promote and support open source technology. Kubernetes and Cloud Native Associate certification exam is designed to test the knowledge and skills of individuals who are interested in working with Kubernetes and cloud native technologies. KCNA Exam covers a range of topics, including containerization, Kubernetes architecture, deployment, and management.

Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q183-Q188):

NEW QUESTION # 183
Various Container Orchestrator Systems (COS)?

A. Apache Mesos
B. Kubernetes
C. None of the options
D. Docker Swarm

Answer: A,B,D

NEW QUESTION # 184
Which of the following best describes the concept of 'cold starts' in serverless computing?

A. The time it takes for a serverless function to be initialized and ready to execute after a period of inactivity.
B. The time taken for a serverless function to access and process data from a database.
C. The latency introduced by network communication between a serverless function and its dependencies.
D. The time required for a serverless function to scale up to handle increased workload.
E. The overhead associated with invoking a serverless function from an external client.

Answer: A

Explanation:
Cold starts refer to the time it takes for a serverless function to be provisioned, loaded into memory, and ready for execution after a period of inactivity. This latency is a characteristic of serverless environments and can affect performance, especially for infrequent function invocations. Options B, C, D, and E describe other factors that can contribute to latency in serverless applications but are not the defining characteristic of cold starts

NEW QUESTION # 185
You might need to run a stateless application in kubernetes, and you want to be able to scale easily and perform rolling updates. What kubernetes resource type can you use to do this

A. Stateful set
B. Dameon set
C. Replica set
D. pod
E. service
F. Deployment

Answer: F

Explanation:
https://kubernetes.io/docs/concepts/workloads/controllers/deployment/

NEW QUESTION # 186
Consider the following Kubernetes pod YAML definition:

Which of the following statements is TRUE about this pod's scheduling behavior?

A. The pod will not be scheduled on any node that has the taint *keyl: valuel: NoSchedule• , as long as the •nodeselector• condition is met.
B. The pod will only be scheduled on a node with the label 'kubernetes.io/hostname: nodel , regardless of available resources.
C. The pod will only be scheduled on a node that has at least 100m CPU and 200Mi memory available.
D. The pod will be scheduled on any node that meets the •nodeSelector• and •tolerations* conditions, but it may be evicted if resources become scarce.
E. The pod will only be scheduled on a node with the label 'keyl: valuel s, regardless of available resources.

Answer: A

Explanation:
The 'nodeselector• field instructs Kubernetes to schedule the pod ONLY on a node labeled with 'kubernetes.io/hostname: nodel*. However, the •tolerations' field specifies that the pod can tolerate a taint with the key 'keyl • , the value 'valuel • , and the effect 'NoSchedule'. This means that the pod will NOT be scheduled on a node that has that taint applied, even if the node meets the •nodeSelector• condition. The •requests' and 'limits' fields specify resource requirements for the pod, but they are not the primary factor determining the pod's scheduling in this case. The •tolerations* field takes precedence due to its 'NoSchedule• effect.

NEW QUESTION # 187
Which control plane component is responsible for scheduling pods?

A. kubelet
B. kube-proxy
C. kube scheduler
D. kube api-server

Answer: C

Explanation:
https://kubernetes.io/docs/concepts/overview/components/

NEW QUESTION # 188
......

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