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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q135-Q140):

NEW QUESTION # 135
You are tasked with deploying a microservices application on Kubernetes. The application relies heavily on communication between its different services, and you need to ensure reliable and secure communication. Which of the following open standards are most relevant for this scenario?

A. Open Service Mesh (OSM)
B. Kubernetes API
C. Cloud Native Computing Foundation (CNCF)
D. Open Container Initiative (OCI)
E. Service Level Objectives (SLOs)

Answer: A

Explanation:
Open Service Mesh (OSM) is an open standard focused on providing a secure and reliable way to connect microservices. It helps with service discovery, load balancing, traffic management, and security features, making it ideal for deploying microservices applications on Kubernetes.

NEW QUESTION # 136
What is the most common way to scale the application in the cloud environment?

A. Vertical Scaling
B. Parallel Scaling
C. Horizontal Scaling

Answer: C

Explanation:
https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/

NEW QUESTION # 137
Observability and monitoring are not the same?

A. False
B. True

Answer: B

NEW QUESTION # 138
You're running a web application in Kubernetes that experiences occasional spikes in traffic. You want to scale your application horizontally to handle these spikes automatically. What Kubernetes resource should you utilize to achieve this?

A. DaemonSet
B. StatefulSet
C. Deployment
D. Service
E. HorizontalPodAutoscaler (HPA)

Answer: E

Explanation:
A HonzontalPodAutoscaler (HPA) is the primary resource in Kubernetes for automatically scaling Pods based on resource utilization (CPU, memory, etc.) or custom metrics. Deployments, StatefulSets, and DaemonSets define the deployment and management of Pods, while Services handle load balancing and access to the application.

NEW QUESTION # 139
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. Manually scale the deployment up during traffic spikes and down afterward.
B. Configure a resource quota for the web application's namespace to limit its resource usage.
C. Utilize serverless functions to handle the peak traffic load, automatically scaling as needed.
D. Use a horizontal pod autoscaler (HPA) with metrics based on CPU and memory utilization.
E. Implement a caching layer in front of the web application to reduce the load on the backend servers.

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 # 140
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