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The KCNA exam is an online, performance-based exam that is conducted on a Kubernetes cluster. KCNA exam consists of a series of performance-based tasks that are designed to test the candidate's ability to deploy, manage, and troubleshoot Kubernetes clusters. KCNA exam covers a wide range of topics, including container basics, Kubernetes architecture, deployment, networking, and storage.
Linux Foundation KCNA (Kubernetes and Cloud Native Associate) Certification Exam is designed to test an individual's knowledge and competency in the area of cloud-native computing and Kubernetes. KCNA exam aims to validate the candidate's understanding of Kubernetes architecture, installation, and configuration, as well as their ability to work with containerized applications in a cloud-native environment. Kubernetes and Cloud Native Associate certification is ideal for professionals looking to enhance their skills and advance their careers in the field of cloud computing.
Linux Foundation KCNA (Kubernetes and Cloud Native Associate) Exam is a certification program designed to validate the skills of individuals who work with cloud-native technologies. Cloud-native technologies are a collection of software tools and practices that help organizations build and run scalable applications in modern, dynamic environments such as the cloud. KCNA exam is designed to assess the knowledge and skills required to design, deploy, and manage cloud-native applications using Kubernetes and other cloud-native tools.
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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q190-Q195):
NEW QUESTION # 190
You're developing a new microservice for an application running on Kubernetes. The service requires access to a database hosted in a separate Kubernetes cluster. How would you ensure secure communication between your microservice and the database?
Answer: D
Explanation:
A service mesh like Istio or Linkerd provides a layer of abstraction that can handle encryption, authentication, and authorization bewveen microservices within and across Kubernetes clusters. It allows for secure communication without exposing sensitive credentials directly within the microservice code.
NEW QUESTION # 191
You are configuring a Kubernetes cluster for a microservices-based application. Each microservice needs its own network namespace and isolated communication. Which Kubernetes networking feature would you use to achieve this?
Answer: A
Explanation:
NetworkPolicy is the Kubernetes feature designed for controlling network traffic between pods and external sources. It allows you to define rules to allow or deny specific network communication based on source, destination, ports, and other criteria. This helps isolate microservices and enforce network segmentation within the cluster.
NEW QUESTION # 192
You are developing a serverless application using Azure Functions that processes real-time streaming dat
a. How would you ensure reliable and efficient data ingestion from a Kafka topic to your Azure Functions?
Answer: B
Explanation:
Azure Event Hubs is the recommended approach for connecting Kafka to Azure Functions for real-time streaming data ingestion. It offers high throughput and scalability, making it ideal for handling large volumes of streaming events. Service Bus (B) is suitable for message queuing but not primarily designed for streaming data. Directly polling Kafka topics (C) can be inefficient and might not scale well. Custom connectors (D) can be complex and might lack the required functionality for streaming data ingestion. Data Factory (E) is more focused on data movement and transformation, not real-time streaming
NEW QUESTION # 193
You are monitoring a Kubernetes cluster using Prometheus. You notice a significant spike in CPUusage on a specific pod. To investigate further, you want to collect metrics related to individual processes running within that pod. Which Prometheus query can effectively achieve this?
Answer: A
Explanation:
The query •process_cpu_seconds_total{pod="", container="", process=""Y is designed to retrieve CPU usage metrics for specific processes running within a container. The other options are not focused on individual process metrics.
NEW QUESTION # 194
Consider the following Kubernetes pod YAML definition:
Which of the following statements is TRUE about this pod's scheduling behavior?
Answer: D
Explanation:
The 'nodeselector• field instructs Kubernetes to schedule the pod ONLY on a node labeled with 'kubernetes.io/hostname: nodel*. However, the •tolerations' field specifies that the pod can tolerate a taint with the key 'keyl • , the value 'valuel • , and the effect 'NoSchedule'. This means that the pod will NOT be scheduled on a node that has that taint applied, even if the node meets the •nodeSelector• condition. The •requests' and 'limits' fields specify resource requirements for the pod, but they are not the primary factor determining the pod's scheduling in this case. The •tolerations* field takes precedence due to its 'NoSchedule• effect.
NEW QUESTION # 195
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