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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q48-Q53):

NEW QUESTION # 48
Which of the following computing model doesn't require you to provision infrastructure?

A. Compute Engine
B. None of the above
C. Bare Metal
D. Virtual Machines
E. Serverless

Answer: E

Explanation:

NEW QUESTION # 49
You're running a microservices application in Kubernetes, and you're concerned about the cost associated with resource usage. Which of the following approaches is most effective for reducing cost without impacting performance?

A. Implement a distributed tracing system to monitor the resource consumption of individual microservices and identify areas for optimization.
B. Configure resource quotas for each namespace containing microservices to restrict their resource usage.
C. Design your microservices to be stateless and idempotent, allowing them to be easily scaled and restarted without affecting application state.
D. Utilize serverless functions to replace all microservices, as they scale automatically and only consume resources when active.
E. Use a horizontal pod autoscaler (HPA) to scale each microservice independently based on its specific resource needs.

Answer: A,C,E

Explanation:
Cost optimization for microservices involves understanding resource consumption and ensuring efficient scaling. Distributed tracing helps pinpoint resource-intensive microservices for optimization. HPA allows individual microservices to scale independently, ensuring optimal resource utilization. Designing microservices to be stateless and idempotent simplifies scaling and restarts, reducing potential resource waste. While serverless functions offer scaling benefits, they might not be suitable for all microservices. Resource quotas can restrict usage but don't address dynamic scaling needs.

NEW QUESTION # 50
Explain the difference between a Deployment and a StatefulSet in Kubernetes.

A. Deployments are used for stateless applications, while StatefulSets are used for stateful applications that require persistent storage and unique identities.
B. Deployments are used for managing the lifecycle of a single Pod, while StatefulSets manage multiple Pods.
C. Deployments handle rolling updates, while StatefulSets only support manual updates.
D. Deployments are used for deploying and managing stateless applications, while StatefulSets are used for deploying and managing stateful applications.
E. Deployments are responsible for scheduling Pods, while StatefulSets manage the lifecycle of Services.

Answer: A,D

Explanation:
Deployments are used for deploying and managing stateless applications, while StatefulSets are used for deploying and managing stateful applications. Deployments are ideal for applications where the state of each Pod is not important, while StatefulSets are designed for applications that require persistent storage, unique network identities, and ordered scaling.

NEW QUESTION # 51
Which of the following is not the Kubernetes AutoScaling Strategy?

A. Vertical Pod Autoscaler
B. Load Balancing AutoScaler
C. Cluster Autoscaler
D. Horizontal Pod Autoscaler

Answer: B

Explanation:
https://learnk8s.io/kubernetes-autoscaling-strategies

NEW QUESTION # 52
What is the purpose of the "securityContext" field in a pod specification? Choose all that apply.

A. To control access to the Kubernetes API server.
B. To configure the resource limits for the containers within the pod.
C. To define the user ID and group ID for the containers within the pod.
D. To define the security context of the pods, such as SELinux and AppArmor.
E. To specify the network namespace that the pod should be created in.

Answer: C,D

Explanation:
The "securityContext" field in a pod specification is used to define the security context of the containers within the pod. This includes settings related to user ID and group ID, SELinux and AppArmor profiles, and other security-related options. It does not control access to the Kubernetes API server, configure resource limits, or specify the network namespace.

NEW QUESTION # 53
......

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KCNA Reliable Test Braindumps - Trustable Linux Foundation Kubernetes and Cloud Native Associate - New KCNA Exam Experience

Excellent Linux Foundation KCNA Reliable Test Braindumps Are Leading Materials & High-quality KCNA: Kubernetes and Cloud Native Associate

Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q48-Q53):

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