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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q148-Q153):

NEW QUESTION # 148
Your Kubernetes cluster is experiencing performance issues due to excessive CPU usage by a specific pod. You need to quickly diagnose and resolve the problem. Which tool would be most useful for monitoring and troubleshooting the pod's resource consumption?

A. kubectl exec
B. kubectl describe
C. kubectl top
D. kubectl logs
E. kubectl port-forward

Answer: C

Explanation:
The *kubectl top' command provides real-time resource usage statistics for pods, including CPU and memory consumption. It allows you to quickly identify pods that are using excessive resources and pinpoint the cause of the performance bottleneck. This makes it an effective tool for troubleshooting performance problems.

NEW QUESTION # 149
You are working on a large-scale e-commerce application running on Kubernetes. The application has multiple microservices, each with its own deployment and scaling needs. Which of the following roles would be best suited to manage the deployment, scaling, and health of these microservices within the Kubernetes environment?

A. Security Engineer
B. Data Scientist
C. Site Reliability Engineer (SRE)
D. DevOps Engineer
E. Cloud Architect

Answer: C

Explanation:
Site Reliability Engineers (SREs) are specifically responsible for the reliability performance, and scalability of applications running in production environments, including those deployed on Kubernetes. They manage deployment strategies, scaling policies, and monitor the health of microservices to ensure optimal performance and uptime.

NEW QUESTION # 150
You're running a web application on Kubernetes that experiences occasional traffic spikes. Which of the following strategies is most suitable for managing costs during these spikes without compromising performance?

A. Utilize serverless functions to handle the peak traffic load, automatically scaling as needed.
B. Manually scale the deployment up during traffic spikes and down afterward.
C. Configure a resource quota for the web application's namespace to limit its resource usage.
D. Implement a caching layer in front of the web application to reduce the load on the backend servers.
E. Use a horizontal pod autoscaler (HPA) with metrics based on CPU and memory utilization.

Answer: D,E

Explanation:
For web applications with unpredictable traffic patterns, dynamic scaling and load optimization are crucial for cost management. Horizontal Pod Autoscaler (HPA) with CPU and memory utilization metrics automatically scales the deployment up and down based on actual load, effectively managing resources during spikes. Implementing a caching layer reduces load on the backend servers, further reducing resource consumption and costs. Manually scaling is inefficient, and resource quotas don't address the dynamic nature of traffic spikes. While serverless functions offer scaling, they might not be suitable for all web application components.

NEW QUESTION # 151
Which is not a service type in Kubernetes?

A. ClusterIP
B. ExternalName
C. Ingress
D. LoadBalancer
E. NodePort

Answer: C

Explanation:
https://kubernetes.io/docs/tutorials/kubernetes-basics/expose/expose-intro/

NEW QUESTION # 152
The 4C's of Cloud Native security

A. Code, Containers, Compute, and Cloud
B. Cluster, Cloud, Compute, and Containers
C. Cloud, Clusters, Containers, and Code
D. Chroot, Compute, Cluster and Container

Answer: C

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

NEW QUESTION # 153
......

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