KCNA TRAINING SOLUTIONS & LATEST KCNA EXAM REGISTRATION

KCNA Training Solutions & Latest KCNA Exam Registration

KCNA Training Solutions & Latest KCNA Exam Registration

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Tags: KCNA Training Solutions, Latest KCNA Exam Registration, KCNA Pass Guaranteed, KCNA Valid Braindumps Questions, Reliable KCNA Real Test

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The Kubernetes and Cloud Native Associate certification is recognized globally and is highly respected in the industry. It is an excellent way for professionals to demonstrate their expertise in Kubernetes and cloud-native computing to potential employers. Kubernetes and Cloud Native Associate certification also provides access to a community of like-minded professionals who are passionate about cloud-native computing and Kubernetes.

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q142-Q147):

NEW QUESTION # 142
Which of the following features is NOT a primary benefit of using a service mesh like Istio in a Kubernetes environment?

  • A. Simplified service discovery and load balancing across pods
  • B. Enhanced observability with metrics, tracing, and logging
  • C. Improved security through mutual TLS authentication between services
  • D. Dynamic traffic routing and fault tolerance capabilities
  • E. Direct access to the underlying Kubernetes API for granular control

Answer: E

Explanation:
Service meshes like Istio are designed to abstract away the complexities of managing microservices in Kubernetes, providing a layer of abstraction above the Kubernetes API. While they offer enhanced security, observability, and traffic management, they do not provide direct access to the Kubernetes API. This allows developers to focus on application logic rather than infrastructure management.


NEW QUESTION # 143
Which CNCF project is the dominant project with respect to container registries

  • A. Rook
  • B. Envoy
  • C. Kubernetes
  • D. Harbor

Answer: D

Explanation:
https://goharbor.io/


NEW QUESTION # 144
Which role is responsible of creating service level indicator 'SLI', service level objective 'SLO', & Service Level Agreements 'SLA'

  • A. Site reliability engineer 'SRE'
  • B. Security and compliance engineer
  • C. DevOps
  • D. Developer
  • E. GitOps

Answer: A

Explanation:
https://www.atlassian.com/incident-management/kpis/sla-vs-slo-vs-sli


NEW QUESTION # 145
Your Kubernetes cluster has limited resources, and you need to ensure that the pods for your application are effectively scheduled and managed. Which of the following approaches would contribute to resource optimization?

  • A. Scheduling all pods with the highest priority to guarantee their resources
  • B. Using DaemonSets to ensure that a pod runs on every node in the cluster
  • C. Disabling resource quotas to allow pods to utilize all available resources
  • D. Deploying all pods on a single node for centralized management
  • E. Setting resource requests and limits for pods based on their actual resource consumption

Answer: E

Explanation:
Setting resource requests and limits for pods is crucial for resource optimization. By defining these values, you provide Kubernetes with guidance on how much resources each pod needs and helps prevent resource starvation for other applications. Requests are the minimum resources a pod needs, while limits prevent a pod from consuming more than its assigned quota.


NEW QUESTION # 146
You are running a microservice-based application in Kubernetes. Each service has its own HPA configured for scaling. How can you ensure that the scaling decisions for different services are coordinated to prevent resource contention?

  • A. Create a custom controller to monitor resource usage across all services and coordinate scaling decisions.
  • B. Utilize resource quotas to limit the resources allocated to each service, preventing resource contention.
  • C. Use a single HPA for all microservices to manage scaling centrally.
  • D. Configure each HPA to scale based on the resource usage of other services.
  • E. Use a distributed cache to store and share scaling metrics across different HPAs

Answer: A,B

Explanation:
Both resource quotas and a custom controller can help prevent resource contention. Resource quotas limit the resources each service can consume, preventing one service from monopolizing resources- A custom controller can monitor resource usage across all services and make coordinated scaling decisions to avoid over-provisioning and resource exhaustion.


NEW QUESTION # 147
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