Intereactive KCNA Testing Engine & KCNA Valid Braindumps Questions

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To prepare for the KCNA certification exam, candidates can take advantage of a variety of resources provided by the Linux Foundation. These include online training courses, study guides, and practice exams. Additionally, candidates can participate in community forums and discussion groups to gain insights and advice from other professionals in the field.

Linux Foundation KCNA Exam is an online, proctored exam that can be taken from anywhere in the world. KCNA exam consists of 40 multiple-choice questions and must be completed within 90 minutes. KCNA exam is designed to be challenging, but fair, and is intended to test the candidate's knowledge and understanding of Kubernetes and cloud-native technologies.

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The KCNA exam is an excellent way for individuals to validate their knowledge and understanding of Kubernetes and cloud-native technologies. It is a valuable credential for anyone looking to work with these technologies in their current or future roles, and can help to demonstrate their expertise to potential employers. If you are interested in taking the KCNA Exam, you can find more information on the Linux Foundation website.

Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q39-Q44):

NEW QUESTION # 39
You are using Prometheus to monitor a Kubernetes cluster and want to create an alert that triggers when the number of failed deployments in a specific namespace exceeds a certain threshold. Which Prometheus query can help achieve this?

Answer: C

Explanation:
The query •sum(kube_deployment_status_replicas_unavailable{namespace=""} 1) > 5' focuses on the 'replicas_unavailable' metric for deployments in the specified namespace. It counts deployments where the unavailable replica count is 1 , effectively indicating failed deployments. If this count exceeds 5, the alert will trigger.

NEW QUESTION # 40
You are running a stateful application on Kubernetes that requires persistent data storage. Which of the following Kubernetes storage classes would be most suitable for this scenario?

A. HostPath
B. Persistent Volumes
C. Ephemeral
D. Standard
E. Local Persistent Volumes

Answer: B

Explanation:
Persistent Volumes (PVs) are the most suitable storage class for stateful applications- They guarantee persistent data storage across pod restarts and provide a consistent interface for accessing the data

NEW QUESTION # 41
What does the 'kops' acronym means?

A. Kubernetes Operators
B. Kubernetes Open Platform Specification
C. Kubernetes Operations
D. Kubernetes Operation Policy Specification

Answer: C

Explanation:
https://github.com/kubernetes/kops

NEW QUESTION # 42
What is the purpose of the "securityContext" field in a pod specification? Choose all that apply.

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

Answer: C,E

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 # 43
You are troubleshooting a performance issue with an application running in a Kubernetes cluster. You have access to Prometheus and Jaeger, but the Jaeger Ul shows that a specific request took an unusually long time to process. Which metric in Prometheus can help you identify the specific component or service within the application that caused the delay?

A. http_request_duration_seconds
B. kube_pod_container_status_restart_count
C. kube_deployment_status_replicas
D. kube_pod_status_phase
E. kube_pod_container_resource_requests_cpu_cores

Answer: A

Explanation:
The correct answer is E . The metric 'http_request_duration_seconds* is typically used to track the time taken for HTTP requests to be processed. In this case, by looking at the 'http_request_duration_seconds' metric for the specific request identified in Jaeger, you can see the duration of each stage of the request processing. This can pinpoint the specific component or service where the delay occurred. The other options are not relevant to identifying the specific component or service causing the delay: A : Shows CPU resource requests for a pod. B : Shows the pod's phase. C : Shows the number of replicas in a deployment. D : Shows the restart count for a pod's containers. These metrics do not provide information about the processing time of individual requests.

NEW QUESTION # 44
......

KCNA Valid Braindumps Questions: https://www.passleader.top/Linux-Foundation/KCNA-exam-braindumps.html

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INTEREACTIVE KCNA TESTING ENGINE & KCNA VALID BRAINDUMPS QUESTIONS

Intereactive KCNA Testing Engine & KCNA Valid Braindumps Questions