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KCNA Practice Guide | Reliable KCNA Exam Pattern

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Linux Foundation KCNA Exam covers a broad range of topics related to Kubernetes and cloud-native technologies, including the fundamentals of containerization, Kubernetes architecture and components, deployment and scaling of Kubernetes applications, troubleshooting Kubernetes clusters, and managing Kubernetes resources using various tools and APIs. Kubernetes and Cloud Native Associate certification exam is designed to assess an individual's knowledge and expertise in these areas and provides a reliable measure of their competency in managing and deploying cloud-native applications.

Linux Foundation KCNA (Kubernetes and Cloud Native Associate) Certification Exam is an industry-recognized certification that validates one's knowledge and proficiency in working with Kubernetes and cloud-native technologies. KCNA Exam is intended to assess an individual's understanding of the fundamental concepts and key components of Kubernetes and cloud-native architectures.

Linux Foundation KCNA certification is an excellent way for individuals to validate their skills and knowledge in Kubernetes and cloud-native technologies. Kubernetes and Cloud Native Associate certification provides a solid foundation in these technologies and is recognized globally. With the growing adoption of cloud-native technologies, the demand for certified professionals is on the rise, and the KCNA certification is an excellent way to stand out in a competitive job market.

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q13-Q18):

NEW QUESTION # 13
You are using a Kubernetes admission controller to enforce security policies. Which of the following admission controller configurations is MOST appropriate for preventing pods from running with the "-privileged" flag?

Answer: E

Explanation:
Option E is the most appropriate configuration for preventing pods from running with the '-privileged' flag. This configuration defines a ValidatingAdmissionPolicy named 'privileged-pod-policy' that specifically targets pod creation operations ('CREATE'). It checks the 'securityContext' field of the pod spec and ensures that the 'privileged' field is set to 'false". By enforcing this rule, the admission controller will block any attempt to create pods with the privileged" flag, enhancing the security of your Kubernetes cluster.

NEW QUESTION # 14
You are running a microservices application in Kubernetes. Each microservice has its own Deployment and Service. You want to ensure that communication between these microservices is secure. Which Kubernetes feature would be most appropriate for this purpose?

A. Ingress
B. Secret
C. Service Account
D. PodSecurityPolicy
E. NetworkPolicy

Answer: E

Explanation:
NetworkPolicy is a Kubernetes feature that allows you to define network security rules for Pods. You can use NetworkPolicies to control which Pods can communicate with each other, as well as which external networks they can access. This helps you secure communication between microservices within your application, preventing unauthorized access.

NEW QUESTION # 15
You are running a web application with a high demand for CPU resources. Which Kubernetes scheduling strategy could help you ensure pods are scheduled on nodes with the most available CPU capacity?

A. Node anti-affinity
B. Pod anti-affinity
C. Taints and tolerations
D. Pod affinity
E. Node affinity

Answer: E

Explanation:
Node affinity allows you to define preferences for where pods should be scheduled based on node labels. You can use node affinity to prioritize scheduling on nodes with high CPU capacity. While the other options can influence scheduling, they are not directly focused on CPU availability.

NEW QUESTION # 16
What is etcd used for in Kubernetes?

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

Answer: A

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

NEW QUESTION # 17
You are working on a microservices application running on Kubernetes, using Istio for traffic management and observability. You have deployed a new version of one of your microservices, but you're experiencing performance issues. You suspect the issue is related to the network calls between services. What Istio feature would you use to troubleshoot this problem?

A. Istio's 'virtual service' feature
B. Istio's 'service entry' feature
C. Istio's 'telemetry' feature, specifically tracing
D. Istio's 'fault injection' feature
E. Istio's 'destination rule' feature

Answer: C

Explanation:
Istio's telemetry feature, particularly tracing, allows you to track the flow of requests through your microservices. By examining the trace data, you can identify bottlenecks, latency issues, and other performance problems related to network calls. Option A simulates failures for testing, not troubleshooting. Option C is for service discovery. Option D and E are for traffic management.

NEW QUESTION # 18
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