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The KCNA Exam is a remote, online, proctored exam that can be taken from anywhere in the world. It consists of 40 multiple-choice questions and has a time limit of 90 minutes. In order to pass the exam, candidates must achieve a score of 66% or higher. Upon passing the exam, candidates will receive a digital badge that can be displayed on their LinkedIn profile, resume, or website, as well as a certificate of completion.

Linux Foundation KCNA (Kubernetes and Cloud Native Associate) Certification Exam is a highly sought-after certification for individuals who wish to establish their expertise in cloud-native computing technologies. Kubernetes is an open-source platform that manages containerized applications, while cloud-native computing is an approach to building and running applications that takes full advantage of cloud computing models. Kubernetes and Cloud Native Associate certification exam is designed to validate the skills and knowledge of professionals who are seeking a career in cloud-native computing.

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q81-Q86):

NEW QUESTION # 81
Which of the following is NOT a key characteristic of a serverless architecture?

A. Event-driven execution model.
B. Focus on business logic rather than infrastructure management
C. Automatic scaling based on workload demand
D. Pay-per-use pricing model.
E. Pre-provisioned and managed servers-

Answer: E

Explanation:
Serverless architectures are designed to abstract away the need for managing servers. They rely on cloud providers to handle provisioning, scaling, and infrastructure maintenance. Option C, Pre-provisioned and managed servers, contradicts the core principle of serverless computing, which is to avoid managing server infrastructure.

NEW QUESTION # 82
Which of the following are characteristics of Statefulsets?

A. Ordered, graceful deployment and scaling
B. Creates replica sets
C. Uses headless services

Answer: A

Explanation:
https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/

NEW QUESTION # 83
Your application is deployed in a Kubernetes cluster and is experiencing performance issues. You need to monitor the health of the cluster and identify potential bottlenecks. Which Kubernetes features would be most helpful for diagnosing and resolving these issues?

A. kubectl logs and kubectl describe
B. Kubernetes Dashboard for visual overview of cluster status
C. Jaeger for tracing distributed requests
D. All of the above
E. Prometheus and Grafana for metrics collection and visualization

Answer: D

Explanation:
All of the mentioned features contribute to effective cluster monitoring and debugging: 'kubectl logs and 'kubectl describe' provide valuable information about specific Pods and their resources. Prometheus and Grafana allow you to collect and analyze metrics from various components of the cluster, helping you identify performance bottlenecks. Kubernetes Dashboard offers a visual overview of the cluster's state and resources. Jaeger is a powerful tool for tracing distributed requests across different microservices within your application, helping you diagnose issues that involve communication between services.

NEW QUESTION # 84
Which of the following best describes the concept of 'cold starts' in serverless computing?

A. The time required for a serverless function to scale up to handle increased workload.
B. The overhead associated with invoking a serverless function from an external client.
C. The time taken for a serverless function to access and process data from a database.
D. The time it takes for a serverless function to be initialized and ready to execute after a period of inactivity.
E. The latency introduced by network communication between a serverless function and its dependencies.

Answer: D

Explanation:
Cold starts refer to the time it takes for a serverless function to be provisioned, loaded into memory, and ready for execution after a period of inactivity. This latency is a characteristic of serverless environments and can affect performance, especially for infrequent function invocations. Options B, C, D, and E describe other factors that can contribute to latency in serverless applications but are not the defining characteristic of cold starts

NEW QUESTION # 85
What is etcd used for in Kubernetes?

A. Backend object storage for the Kubernetes API
B. Integration with cloud platforms
C. Network routing for the cluster
D. Kubernetes API security

Answer: A

Explanation:
etcd serves as a distributed object store that backs the Kubernetes API.

NEW QUESTION # 86
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