Juniper JN0-213 Practice Test - Questions Answers, Page 3

List of questions
Question 21

In OpenShift, which node type is used to host your application containers?
In OpenShift, theworker nodeis used to host your application containers1.Worker nodes are where all your coding adventures happen, and they can be virtual or physical1. Reference from Juniper site:IBM Developer
Question 22

Which SDN model provisions tunnels between the virtual endpoints within and across data centers?
TheSDN overlaymodel provisions tunnels between the virtual endpoints within and across data centers2.This model uses network overlays to support private communication between instances3. Reference from Juniper site:Microsoft Learn,Red Hat Customer Portal
Question 23

Which two statements are correct about OpenShift monitoring? (Choose two.)
OpenShift includes a preconfigured, preinstalled, and self-updating monitoring stack that provides monitoring for core platform components4.You also have the option to enable monitoring for user-defined projects4. This means OpenShift has its own monitoring framework (B) and is able to configure customized alerts (D). Reference from Juniper site:OpenShift Container Platform
Question 24

Your business has optimized its applications to leverage a cloud-native microservices-based architecture.
In this architecture, how do the various modules of an application communicate?
In a cloud-native microservices-based architecture, the various modules of an application communicate throughapplication programming interface (API) calls5.Each service is autonomous and self-contained and runs a unique process6. Reference from Juniper site:Microsoft Learn,Palo Alto Networks
Question 25

Which two statements are correct about OpenStack networks? (Choose two.)
In OpenStack networks, it is possible to share networks with other projects7.Also, it is possible to enable DHCP for a subnet in an OpenStack network7. Reference from Juniper site:OpenStack Documentation
Question 26

What is the networking service of OpenStack?
OpenStack's networking service is known as Neutron. Neutron provides a scalable, API-driven, web services-based model for network connectivity as a service. It is designed to manage and configure networking services for both simple and complex network topologies. Neutron allows users to create their own networks, control traffic and connect servers and devices to one or multiple networks.
Question 27

You are deploying CN2 using Kubernetes as your orchestrator.
In this scenario, which component contains the vRouter agent?
In a CN2 deployment using Kubernetes as the orchestrator, the vRouter agent is contained in the worker node. The vRouter agent is responsible for managing the forwarding plane on each node in a Contrail cluster. It interacts with the kernel to manage the services and interfaces within the virtual networks.
Question 28

What is the function that enables CN2 to manage its resources and interact with the kube-api?
The configuration plane is the function that enables CN2 to manage its resources and interact with the kube-api. The configuration plane is responsible for storing and managing all configuration data in a Contrail cluster. It provides APIs for other components to retrieve this data. This allows CN2 to manage its resources and interact with the kube-api.
Question 29

You are provisioning workloads on worker nodes in a Kubernetes cluster.
Which CN2 component is responsible for generating associated routes?
The vRouter agent microservice is the CN2 component responsible for generating associated routes. When a pod is scheduled on a node, the vRouter agent on that node programs the necessary routes in the kernel routing table to ensure that traffic destined for that pod is properly routed.
Question 30

Which virtualization method requires less duplication of hardware resources?
OS-level virtualization requires less duplication of hardware resources. This method allows multiple instances of an operating system or multiple different operating systems to run on a single physical server, sharing the same hardware resources. This results in more efficient use of hardware resources compared to other virtualization methods such as full virtualization or paravirtualization
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