Linux Foundation KCNA New Guide Files - Valid KCNA Vce Dumps

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Linux Foundation KCNA (Kubernetes and Cloud Native Associate) Certification Exam is a globally recognized certification program designed for IT professionals who want to demonstrate their skills and knowledge in container orchestration and cloud-native technologies. KCNA exam provides a comprehensive assessment of an individual's understanding of Kubernetes and other cloud-native technologies, including containerization, microservices, and networking.

Linux Foundation Kubernetes and Cloud Native Associate (KCNA) Certification Exam is a vendor-neutral exam designed to test an individual's knowledge of Kubernetes and cloud-native technologies. KCNA exam is intended for individuals who are looking to validate their skills in container orchestration and deployment, as well as the broader ecosystem of cloud-native applications and services. The KCNA Certification is an excellent way for IT professionals to demonstrate their expertise in these critical areas and gain a competitive edge in the job market.

Linux Foundation KCNA (Kubernetes and Cloud Native Associate) Certification Exam is a professional certification program designed for individuals who want to validate their skills and knowledge in Kubernetes and cloud native technologies. KCNA exam is developed and maintained by the Linux Foundation, a nonprofit organization that supports the growth of open-source software and promotes standardization and collaboration among software developers.

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q199-Q204):

NEW QUESTION # 199
You have configured Prometheus to scrape metrics from a Kubernetes cluster, but you notice that some pods are not being scraped. You suspect that the Prometheus server might be experiencing resource constraints. How can you troubleshoot this issue?

A. Check the Prometheus logs for any errors related to scraping or resource limitations.
B. All of the above
C. Verify the Prometheus server's configuration and ensure that the scraping interval and target labels are correct.
D. Examine the Prometheus server's CPU and memory usage to identify any resource bottlenecks.
E. Use the Prometheus •status/targets• endpoint to see which targets are currently being scraped and any errors encountered.

Answer: A,B,C,D,E

Explanation:
All of the mentioned options are valuable for troubleshooting scraping issues caused by resource constraints. Checking logs, monitoring server resource usage, reviewing configuration, and using the 'status/targetS endpoint provide comprehensive insights into the problem. By investigating these aspects, you can pinpoint the root cause and take appropriate actions to resolve the issue.

NEW QUESTION # 200
You're running a stateful application in Kubernetes with a HorizontalPodAutoscaler (HPA) configured. You want to ensure that scaling does not disrupt the application's state. What approach would you take to address this concern?

A. Configure the HPA to scale up and down only when the application is idle.
B. Implement a custom scaling logic that ensures state persistence during scaling events.
C. Disable scaling for the application to maintain state consistency.
D. Use a persistent volume claim (PVC) to store the application's state.
E. Use a StatefulSet to manage the deployment of the application.

Answer: B,D,E

Explanation:
Several approaches can help maintain state during scaling for stateful applications: StatefulSets (A) manage stateful applications by providing persistent storage and stable network identities for Pods- Custom scaling logic (C) allows you to implement specific scaling strategies that preserve state, such as graceful shutdowns and data synchronization. Persistent volume claims (PVCs) (D) ensure that the application's data is stored on persistent volumes, preserving it even during scaling events. While options B and E might seem appealing, they are not practical solutions. Scaling during idle periods might not cover all scenarios, and disabling scaling altogether eliminates the benefits of autoscaling.

NEW QUESTION # 201
What makes cloud native technology so important?

A. It strengthens team
B. It makes operational centric
C. It removes roadblocks to innovation
D. It helps gather software requirements
E. It makes data centric

Answer: C

Explanation:
https://github.com/cncf/foundation/blob/main/charter.md

NEW QUESTION # 202
What is the difference between a Service and an Ingress in Kubernetes?

A. Services provide external access to your application, while Ingress provides internal access.
B. Services are used for scheduling Pods to nodes, while Ingress is used for managing the communication between Pods and services.
C. Services manage the lifecycle of Pods, while Ingress manages the lifecycle of Deployments.
D. Services are used for managing the state of Pods, while Ingress is used for managing the health of Pods.
E. Services expose applications running within the cluster, while Ingress provides routing and load balancing for external traffic.

Answer: E

Explanation:
In Kubernetes Services provide a way to expose applications running within the cluster, while Ingress provides a mechanism for routing and load balancing external traffic to your applications. Services are used to make Pods accessible within the cluster, while Ingress enables users outside the cluster to access your applications.

NEW QUESTION # 203
Which is NOT a use case for the Kubernetes dashboard?

A. Managing running applications
B. Installing new Kubernetes cluster
C. Managing the entire Kubernetes cluster
D. Troubleshooting any issues with applications

Answer: B

NEW QUESTION # 204
......

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Linux Foundation KCNA New Guide Files - Valid KCNA Vce Dumps

Pass Guaranteed First-grade Linux Foundation KCNA - Kubernetes and Cloud Native Associate New Guide Files

Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q199-Q204):

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