ANOTHER WAY TO PREPARE FOR THE JN0-214 EXAM

Another way to prepare for the JN0-214 Exam

Another way to prepare for the JN0-214 Exam

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Juniper Cloud, Associate (JNCIA-Cloud) Sample Questions (Q58-Q63):

NEW QUESTION # 58
Which component of Kubernetes runs on all nodes and ensures that the containers are running in a pod?

  • A. kube controller
  • B. kubelel
  • C. kube-proxy
  • D. container runtime

Answer: B

Explanation:
The kubelet is a component of Kubernetes that runs on all nodes in the cluster and ensures that containers are running in a pod. It takes a set of PodSpecs that are provided through various mechanisms and ensures that the containers described in those PodSpecs are running and healthy.


NEW QUESTION # 59
Which Kubernetes component guarantees the availability of ReplicaSet pods on one or more nodes?

  • A. kube-scheduler
  • B. kube controller
  • C. kube-proxy
  • D. kubelet

Answer: B

Explanation:
Kubernetes components work together to ensure the availability and proper functioning of resources like ReplicaSets. Let's analyze each option:
A . kube-proxy
Incorrect: The kube-proxy manages network communication for services and pods by implementing load balancing and routing rules. It does not guarantee the availability of ReplicaSet pods.
B . kube-scheduler
Incorrect: The kube-scheduler is responsible for assigning pods to nodes based on resource availability and other constraints. While it plays a role in pod placement, it does not ensure the availability of ReplicaSet pods.
C . kube controller
Correct: The kube controller (specifically the ReplicaSet controller) ensures that the desired number of pods specified in a ReplicaSet are running at all times. If a pod crashes or is deleted, the controller creates a new one to maintain the desired state.
D . kubelet
Incorrect: The kubelet ensures that containers are running as expected on a node but does not manage the overall availability of ReplicaSet pods across the cluster.
Why Kube Controller?
ReplicaSet Management: The ReplicaSet controller within the kube controller manager ensures that the specified number of pod replicas are always available.
Self-Healing: If a pod fails or is deleted, the controller automatically creates a new pod to maintain the desired state.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers Kubernetes control plane components, including the kube controller. Understanding the role of the kube controller is essential for managing the availability and scalability of Kubernetes resources.
For example, Juniper Contrail integrates with Kubernetes to provide advanced networking and security features, relying on the kube controller to maintain the desired state of ReplicaSets.
Reference:
Kubernetes Documentation: ReplicaSet Controller
Juniper JNCIA-Cloud Study Guide: Kubernetes Control Plane


NEW QUESTION # 60
Click the Exhibit button.

You have issued the openstack server show VM-A command and received the output shown in the exhibit.
To which virtual network is the VM-A instance attached?

  • A. public1
  • B. Nova
  • C. kollaopenstack
  • D. m1.tiny

Answer: A

Explanation:
The openstack server show command provides detailed information about a specific virtual machine (VM) instance in OpenStack. The output includes details such as the instance name, network attachments, power state, and more. Let's analyze the question and options:
Key Information from the Exhibit:
The addresses field in the output shows
public1=10.0.2.176
This indicates that the VM-A instance is attached to the virtual network named public1 , with an assigned IP address of 10.0.2.176 .
Option Analysis:
A . m1.tiny
Incorrect: m1.tiny refers to the flavor of the VM, which specifies the resource allocation (e.g., CPU, memory, disk). It is unrelated to the virtual network.
B . public1
Correct: The addresses field explicitly states that the VM-A instance is attached to the public1 virtual network.
C . Nova
Incorrect: Nova is the OpenStack compute service that manages VM instances. It is not a virtual network.
D . kollaopenstack
Incorrect: kollaopenstack appears in the output as the hostname or project name but does not represent a virtual network.
Why public1?
Network Attachment: The addresses field in the output directly identifies the virtual network (public1) to which the VM-A instance is attached.
IP Address Assignment: The IP address (10.0.2.176) confirms that the VM is connected to the public1 network.
JNCIA Cloud Reference:
The JNCIA-Cloud certification emphasizes understanding OpenStack commands and outputs, including the openstack server show command. Recognizing how virtual networks are represented in OpenStack is essential for managing VM connectivity.
For example, Juniper Contrail integrates with OpenStack Neutron to provide advanced networking features for virtual networks like public1.
Reference:
OpenStack CLI Documentation: openstack server show Command
Juniper JNCIA-Cloud Study Guide: OpenStack Networking


NEW QUESTION # 61
You are asked to deploy a cloud solution for a customer that requires strict control over their resources and data. The deployment must allow the customer to implement and manage precise security controls to protect their data.
Which cloud deployment model should be used in this situation?

  • A. public cloud
  • B. dynamic cloud
  • C. private cloud
  • D. hybrid cloud

Answer: C

Explanation:
Cloud deployment models define how cloud resources are provisioned and managed. The four main models are:
Public Cloud: Resources are shared among multiple organizations and managed by a third-party provider. Examples include AWS, Microsoft Azure, and Google Cloud Platform.
Private Cloud: Resources are dedicated to a single organization and can be hosted on-premises or by a third-party provider. Private clouds offer greater control over security, compliance, and resource allocation.
Hybrid Cloud: Combines public and private clouds, allowing data and applications to move between them. This model provides flexibility and optimization of resources.
Dynamic Cloud: Not a standard cloud deployment model. It may refer to the dynamic scaling capabilities of cloud environments but is not a recognized category.
In this scenario, the customer requires strict control over their resources and data, as well as the ability to implement and manage precise security controls. A private cloud is the most suitable deployment model because:
Dedicated Resources: The infrastructure is exclusively used by the organization, ensuring isolation and control.
Customizable Security: The organization can implement its own security policies, encryption mechanisms, and compliance standards.
On-Premises Option: If hosted internally, the organization retains full physical control over the data center and hardware.
Why Not Other Options?
Public Cloud: Shared infrastructure means less control over security and compliance. While public clouds offer robust security features, they may not meet the strict requirements of the customer.
Hybrid Cloud: While hybrid clouds combine the benefits of public and private clouds, they introduce complexity and may not provide the level of control the customer desires.
Dynamic Cloud: Not a valid deployment model.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers cloud deployment models and their use cases. Private clouds are highlighted as ideal for organizations with stringent security and compliance requirements, such as financial institutions, healthcare providers, and government agencies.
For example, Juniper Contrail supports private cloud deployments by providing advanced networking and security features, enabling organizations to build and manage secure, isolated cloud environments.
Reference:
Juniper JNCIA-Cloud Study Guide: Cloud Deployment Models
NIST Cloud Computing Reference Architecture


NEW QUESTION # 62
Which technology is used to run VMs in an OpenShift cluster?

  • A. ESXi
  • B. KubeVirt
  • C. Hyper-V
  • D. OpenStack

Answer: B

Explanation:
OpenShift is a Kubernetes-based container platform that supports both containerized and virtualized workloads. Let's analyze each option:
A . ESXi
Incorrect: ESXi is VMware's hypervisor for running virtual machines. While it is widely used in traditional virtualization environments, it is not integrated into OpenShift.
B . OpenStack
Incorrect: OpenStack is an open-source cloud computing platform used for managing infrastructure resources (e.g., compute, storage, networking). It is unrelated to running VMs in an OpenShift cluster.
C . Hyper-V
Incorrect: Hyper-V is Microsoft's hypervisor for running virtual machines. Like ESXi, it is not integrated into OpenShift.
D . KubeVirt
Correct: KubeVirt is the technology used to run virtual machines in an OpenShift cluster. It extends Kubernetes to support VM workloads alongside containers, enabling hybrid workload management.
Why KubeVirt?
Integration with OpenShift: KubeVirt is specifically designed to run VMs in Kubernetes-based environments like OpenShift.
Hybrid Workload Support: It allows organizations to manage both containers and VMs using the same Kubernetes APIs and tools.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers OpenShift and its integration with Kubernetes extensions like KubeVirt. Understanding how to run VMs in OpenShift is essential for managing hybrid workloads in cloud-native environments.
For example, Juniper Contrail integrates with OpenShift and KubeVirt to provide networking and security for hybrid workloads.
Reference:
KubeVirt Documentation
OpenShift Documentation: Virtualization
Juniper JNCIA-Cloud Study Guide: OpenShift and Kubernetes


NEW QUESTION # 63
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