[Dec 03, 2025] JN0-214 Questions Truly Valid For Your Juniper Exam!
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NEW QUESTION # 24
Which two statements are correct about Kubernetes resources? (Choose two.)
- A. A ClusterIP type service can only be accessed within a Kubernetes cluster.
- B. NodePort service exposes the service externally by using a cloud provider load balancer.
- C. A daemonSet ensures that a replica of a pod is running on all nodes.
- D. A deploymentConfig is a Kubernetes resource.
Answer: A,C
Explanation:
A daemonSet in Kubernetes ensures that a replica of a pod is running on all nodes. A ClusterIP type service can only be accessed within a Kubernetes cluster.
NEW QUESTION # 25
What is the networking service of OpenStack?
- A. ironic
- B. Barbican
- C. Heat
- D. Neutron
Answer: D
Explanation:
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.
NEW QUESTION # 26
Which OpenStack node runs the network agents?
- A. object storage
- B. compute
- C. block storage
- D. controller
Answer: D
Explanation:
In OpenStack, network agents are responsible for managing networking tasks such as DHCP, routing, and firewall rules. These agents run on specific nodes within the OpenStack environment. Let's analyze each option:
A . block storage
Incorrect: Block storage nodes host the Cinder service, which provides persistent storage volumes for virtual machines. They do not run network agents.
B . controller
Incorrect: Controller nodes host core services like Keystone (identity), Horizon (dashboard), and Glance (image service). While some networking services (e.g., Neutron server) may reside on the controller node, the actual network agents typically do not run here.
C . object storage
Incorrect: Object storage nodes host the Swift service, which provides scalable object storage. They are unrelated to running network agents.
D . compute
Correct: Compute nodes run the Nova compute service, which manages virtual machine instances. Additionally, compute nodes host network agents (e.g., L3 agent, DHCP agent, and metadata agent) to handle networking tasks for VMs running on the node.
Why Compute Nodes?
Proximity to VMs: Network agents run on compute nodes to ensure efficient communication with VMs hosted on the same node.
Decentralized Architecture: By distributing network agents across compute nodes, OpenStack achieves scalability and fault tolerance.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers OpenStack architecture, including the roles of compute nodes and network agents. Understanding where network agents run is essential for managing OpenStack networking effectively.
For example, Juniper Contrail integrates with OpenStack Neutron to provide advanced networking features, leveraging network agents on compute nodes for traffic management.
Reference:
OpenStack Neutron Documentation: Network Agents
Juniper JNCIA-Cloud Study Guide: OpenStack Networking
NEW QUESTION # 27
Which two statements are true about virtual networks? (Choose two.)
- A. Virtual networks are available on common Linux distributions.
- B. Virtual networks are available only as part of a cloud orchestration system.
- C. Virtual networks are able to span multiple devices.
- D. Virtual networks are limited to a single device.
Answer: A,C
Explanation:
Virtual networks are logical networks that are decoupled from the underlying network hardware.
This decoupling allows network administrators to manage their networks independently of the physical network topology. As such, virtual networks can span multiple devices, allowing for a high degree of flexibility and scalability. Furthermore, virtual networks are available on common Linux distributions, allowing for easy deployment and management.
NEW QUESTION # 28
Which OpenStack service provides API client authentication?
- A. Nova
- B. iHeat
- C. Neutron
- D. Keystone
Answer: D
Explanation:
Keystone is an OpenStack service that provides API client authentication. It provides API client authentication, service discovery, and distributed multi-tenant authorization by implementing OpenStack's Identity API.
NEW QUESTION # 29
What are two available installation methods for an OpenShift cluster? (Choose two.)
- A. installer-provisioned infrastructure
- B. user-provisioned infrastructure
- C. kubeadm
- D. kubesprav
Answer: A,B
Explanation:
There are two available installation methods for an OpenShift cluster. One is the installer- provisioned infrastructure method, and the other is the user-provisioned infrastructure method.
NEW QUESTION # 30
Which statement is correct about overlay or underlay networks or fabrics?
- A. Underlay fabrics decouple network services from the overlay infrastructure.
- B. Overlay networks are Layer 3 networks that must use OSPF for routing purposes.
- C. Overlay networks are virtual networks.
- D. Underlay fabrics enable multitenancy through virtualization.
Answer: C
Explanation:
Overlay networks are indeed virtual networks. They are logical constructs that stitch together disparate, dispersed network infrastructure, often referred to as underlay. Underlay networks refer to the physical network infrastructure, while overlay networks implement network virtualization concepts.
NEW QUESTION # 31
You just uploaded a qcow2 image of a vSRX virtual machine in OpenStack.
In this scenario, which service stores the virtual machine (VM) image?
- A. Nova
- B. Ironic
- C. Glance
- D. Neutron
Answer: C
Explanation:
OpenStack provides various services to manage cloud infrastructure resources, including virtual machine (VM) images. Let's analyze each option:
A . Glance
Correct: Glance is the OpenStack service responsible for managing and storing VM images. It provides a repository for uploading, discovering, and retrieving images in various formats, such as qcow2, raw, or ISO.
B . Ironic
Incorrect: Ironic is the OpenStack bare-metal provisioning service. It is used to manage physical servers, not VM images.
C . Neutron
Incorrect: Neutron is the OpenStack networking service that manages virtual networks, routers, and IP addresses. It does not store VM images.
D . Nova
Incorrect: Nova is the OpenStack compute service that manages the lifecycle of virtual machines. While Nova interacts with Glance to retrieve VM images for deployment, it does not store the images itself.
Why Glance?
Image Repository: Glance acts as the central repository for VM images, enabling users to upload, share, and deploy images across the OpenStack environment.
Integration with Nova: When deploying a VM, Nova retrieves the required image from Glance to create the instance.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers OpenStack services, including Glance, as part of its cloud infrastructure curriculum. Understanding Glance's role in image management is essential for deploying and managing virtual machines in OpenStack.
For example, Juniper Contrail integrates with OpenStack Glance to provide advanced networking features for VM images stored in the repository.
Reference:
OpenStack Glance Documentation
Juniper JNCIA-Cloud Study Guide: OpenStack Services
NEW QUESTION # 32
You must provide tunneling in the overlay that supports multipath capabilities.
Which two protocols provide this function? (Choose two.)
- A. MPLSoUDP
- B. VPN
- C. MPLSoGRE
- D. VXLAN
Answer: A,D
Explanation:
MPLSoUDP (Multiprotocol Label Switching over User Datagram Protocol) and VXLAN (Virtual Extensible LAN) are two protocols that provide tunneling in the overlay and support multipath capabilities. MPLSoUDP is an encapsulation protocol that allows MPLS packets to be encapsulated in UDP packets. VXLAN is a network virtualization technology that attempts to address the scalability problems associated with large cloud computing deployments.
NEW QUESTION # 33
Which two statements are correct about OpenShift monitoring? (Choose two.)
- A. OpenShifmonitoring is not compatible with Grafana.
- B. OpenShifis able to configure customized alerts.
- C. OpenShifhas its own monitoring framework.
- D. OpenShifis not able to configure customized alerts.
Answer: B,C
Explanation:
OpenShift includes a preconfigured, preinstalled, and self-updating monitoring stack that provides monitoring for core platform components. You also have the option to enable monitoring for user- defined projects. This means OpenShift has its own monitoring framework (B) and is able to configure customized alerts (D).
NEW QUESTION # 34
Which Docker component builds, runs, and distributes Docker containers?
- A. dockerd
- B. docker cli
- C. docker registry
- D. containerd
Answer: A
Explanation:
The Docker component that builds, runs, and distributes Docker containers is dockerd. Dockerd is the persistent process that manages containers. Docker uses different binaries for different tasks. For example, it uses the docker binary for CLI commands and dockerd for the daemon process.
NEW QUESTION # 35
What is the function that enables CN2 to manage its resources and interact with the kube-api?
- A. the configuration plane
- B. the data plane
- C. the management plane
- D. the control plane
Answer: A
Explanation:
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.
NEW QUESTION # 36
Which two statements correctly describe the Kubernetes networking model?
- A. Pods are allowed to communicate if they are only in the default namespaces.
- B. Full communication between pods is allowed across nodes without requiring NAT.
- C. Pods are not allowed to communicate if they are in different namespaces.
- D. Each pod has its own IP address in a flat, shared networking namespace.
Answer: B,D
Explanation:
Kubernetes networking is designed to provide seamless communication between pods, regardless of their location in the cluster. Let's analyze each statement:
A . Pods are allowed to communicate if they are only in the default namespaces.
Incorrect: Pods can communicate with each other regardless of the namespace they belong to. Namespaces are used for logical grouping and isolation but do not restrict inter-pod communication.
B . Pods are not allowed to communicate if they are in different namespaces.
Incorrect: Pods in different namespaces can communicate with each other as long as there are no network policies restricting such communication. Namespaces do not inherently block communication.
C . Full communication between pods is allowed across nodes without requiring NAT.
Correct: Kubernetes networking is designed so that pods can communicate directly with each other across nodes without Network Address Translation (NAT). Each pod has a unique IP address, and the underlying network ensures direct communication.
D . Each pod has its own IP address in a flat, shared networking namespace.
Correct: In Kubernetes, each pod is assigned a unique IP address in a flat network space. This allows pods to communicate with each other as if they were on the same network, regardless of the node they are running on.
Why These Statements?
Flat Networking Model: Kubernetes uses a flat networking model where each pod gets its own IP address, simplifying communication and eliminating the need for NAT.
Cross-Node Communication: The design ensures that pods can communicate seamlessly across nodes, enabling scalable and distributed applications.
JNCIA Cloud Reference:
The JNCIA-Cloud certification emphasizes Kubernetes networking concepts, including pod-to-pod communication and the flat networking model. Understanding these principles is essential for designing and managing Kubernetes clusters.
For example, Juniper Contrail provides advanced networking features for Kubernetes, ensuring efficient and secure pod communication across nodes.
Reference:
Kubernetes Documentation: Networking Model
Juniper JNCIA-Cloud Study Guide: Kubernetes Networking
NEW QUESTION # 37
What are the two characteristics of the Network Functions Virtualization (NFV) framework?
(Choose two.)
- A. It implements virtualized network functions
- B. It implements virtualized tunnel endpoints.
- C. It decouples the network software from the hardware.
- D. It decouples the network control plane from the forwarding plane.
Answer: A,C
Explanation:
The two characteristics of the Network Functions Virtualization (NFV) framework are that it implements virtualized network functions (VNFs) and that it decouples the network software from the hardware. According to the NFV overview by VMware, NFV is "designed to deliver the network services needed to support an infrastructure totally independent from hardware by decoupling network functions from proprietary purpose-built hardware appliances" and that "the software that provides these network services are known as virtual network functions (VNFs) and run on generic hardware". Other characteristics that are mentioned in the question are related to Software Defined Networking (SDN), not NFV. SDN separates the network control plane from the forwarding plane and implements virtualized tunnel endpoints.
NEW QUESTION # 38
You must provide tunneling in the overlay that supports multipath capabilities.
Which two protocols provide this function? (Choose two.)
- A. MPLSoUDP
- B. VPN
- C. MPLSoGRE
- D. VXLAN
Answer: A,D
Explanation:
In cloud networking, overlay networks are used to create virtualized networks that abstract the underlying physical infrastructure. To support multipath capabilities , certain protocols provide efficient tunneling mechanisms. Let's analyze each option:
A . MPLSoGRE
Incorrect: MPLS over GRE (MPLSoGRE) is a tunneling protocol that encapsulates MPLS packets within GRE tunnels. While it supports MPLS traffic, it does not inherently provide multipath capabilities.
B . VXLAN
Correct: VXLAN (Virtual Extensible LAN) is an overlay protocol that encapsulates Layer 2 Ethernet frames within UDP packets. It supports multipath capabilities by leveraging the Equal-Cost Multi-Path (ECMP) routing in the underlay network. VXLAN is widely used in cloud environments for extending Layer 2 networks across data centers.
C . VPN
Incorrect: Virtual Private Networks (VPNs) are used to securely connect remote networks or users over public networks. They do not inherently provide multipath capabilities or overlay tunneling for virtual networks.
D . MPLSoUDP
Correct: MPLS over UDP (MPLSoUDP) is a tunneling protocol that encapsulates MPLS packets within UDP packets. Like VXLAN, it supports multipath capabilities by utilizing ECMP in the underlay network. MPLSoUDP is often used in service provider environments for scalable and flexible network architectures.
Why These Protocols?
VXLAN: Provides Layer 2 extension and supports multipath forwarding, making it ideal for large-scale cloud deployments.
MPLSoUDP: Combines the benefits of MPLS with UDP encapsulation, enabling efficient multipath routing in overlay networks.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers overlay networking protocols like VXLAN and MPLSoUDP as part of its curriculum on cloud architectures. Understanding these protocols is essential for designing scalable and resilient virtual networks.
For example, Juniper Contrail uses VXLAN to extend virtual networks across distributed environments, ensuring seamless communication and high availability.
Reference:
VXLAN RFC 7348
MPLSoUDP Documentation
Juniper JNCIA-Cloud Study Guide: Overlay Networking
NEW QUESTION # 39
Which two tools are used to deploy a Kubernetes environment for testing and development purposes? (Choose two.)
- A. OpenStack
- B. oc
- C. kind
- D. minikube
Answer: C,D
Explanation:
Kubernetes is a popular container orchestration platform used for deploying and managing containerized applications. Several tools are available for setting up Kubernetes environments for testing and development purposes. Let's analyze each option:
A . OpenStack
Incorrect: OpenStack is an open-source cloud computing platform used for managing infrastructure resources (e.g., compute, storage, networking). It is not specifically designed for deploying Kubernetes environments.
B . kind
Correct: kind (Kubernetes IN Docker) is a tool for running local Kubernetes clusters using Docker containers as nodes. It is lightweight and ideal for testing and development purposes.
C . oc
Incorrect: oc is the command-line interface (CLI) for OpenShift, a Kubernetes-based container platform. While OpenShift can be used to deploy Kubernetes environments, oc itself is not a tool for setting up standalone Kubernetes clusters.
D . minikube
Correct: minikube is a tool for running a single-node Kubernetes cluster locally on your machine. It is widely used for testing and development due to its simplicity and ease of setup.
Why These Tools?
kind: Ideal for simulating multi-node Kubernetes clusters in a lightweight environment.
minikube: Perfect for beginners and developers who need a simple, single-node Kubernetes cluster for experimentation.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers Kubernetes as part of its container orchestration curriculum. Tools like kind and minikube are essential for learning and experimenting with Kubernetes in local environments.
For example, Juniper Contrail integrates with Kubernetes to provide advanced networking and security features for containerized workloads. Proficiency with Kubernetes tools ensures effective operation and troubleshooting.
Reference:
Kubernetes Documentation: kind and minikube
Juniper JNCIA-Cloud Study Guide: Kubernetes
NEW QUESTION # 40
Which component of a software-defined networking (SDN) controller defines where data packets are forwarded by a network device?
- A. the operational plane
- B. the management plane
- C. the control plane
- D. the forwarding plane
Answer: D
Explanation:
The forwarding plane (also known as the data plane) of a software-defined networking (SDN) controller is responsible for forwarding data packets based on the instructions given by the control plane. It handles all activities involving data packets sent by the end-user, including forwarding of packets.
NEW QUESTION # 41
Which statement is true about containers?
- A. Containers perform abstraction at the physical layer.
- B. Containers share a copy of the host's operating system binaries.
- C. Containers perform abstraction at the application layer.
- D. Containers are slower to boot than virtual machines.
Answer: C
Explanation:
Containers perform abstraction at the application layer. They are executable units of software in which application code is packaged along with its libraries and dependencies, in common ways so that the code can be run anywhere--whether it be on desktop, traditional IT or the cloud.
NEW QUESTION # 42
Your organization has legacy virtual machine workloads that need to be managed within a Kubernetes deployment.
Which Kubernetes add-on would be used to satisfy this requirement?
- A. Canal
- B. ADOT
- C. Romana
- D. KubeVirt
Answer: D
Explanation:
Kubernetes is designed primarily for managing containerized workloads, but it can also support legacy virtual machine (VM) workloads through specific add-ons. Let's analyze each option:
A . ADOT
Incorrect: The AWS Distro for OpenTelemetry (ADOT) is a tool for collecting and exporting telemetry data (metrics, logs, traces). It is unrelated to running VMs in Kubernetes.
B . Canal
Incorrect: Canal is a networking solution that combines Flannel and Calico to provide overlay networking and network policy enforcement in Kubernetes. It does not support VM workloads.
C . KubeVirt
Correct: KubeVirt is a Kubernetes add-on that enables the management of virtual machines alongside containers in a Kubernetes cluster. It allows organizations to run legacy VM workloads while leveraging Kubernetes for orchestration.
D . Romana
Incorrect: Romana is a network policy engine for Kubernetes that provides security and segmentation. It does not support VM workloads.
Why KubeVirt?
VM Support in Kubernetes: KubeVirt extends Kubernetes to manage both containers and VMs, enabling organizations to transition legacy workloads to a Kubernetes environment.
Unified Orchestration: By integrating VMs into Kubernetes, KubeVirt simplifies the management of hybrid workloads.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers Kubernetes extensions like KubeVirt as part of its curriculum on cloud-native architectures. Understanding how to integrate legacy workloads into Kubernetes is essential for modernizing IT infrastructure.
For example, Juniper Contrail integrates with Kubernetes and KubeVirt to provide networking and security for hybrid workloads.
Reference:
KubeVirt Documentation
Juniper JNCIA-Cloud Study Guide: Kubernetes Extensions
NEW QUESTION # 43
Which Docker component builds, runs, and distributes Docker containers?
- A. dockerd
- B. container
- C. docker cli
- D. docker registry
Answer: A
Explanation:
Docker is a popular containerization platform that includes several components to manage the lifecycle of containers. Let's analyze each option:
A . dockerd
Correct: The Docker daemon (dockerd) is the core component responsible for building, running, and distributing Docker containers. It manages Docker objects such as images, containers, networks, and volumes, and handles requests from the Docker CLI or API.
B . docker registry
Incorrect: A Docker registry is a repository for storing and distributing Docker images. While it plays a role in distributing containers, it does not build or run them.
C . docker cli
Incorrect: The Docker CLI (Command Line Interface) is a tool used to interact with the Docker daemon (dockerd). It is not responsible for building, running, or distributing containers but rather sends commands to the daemon.
D . container
Incorrect: A container is an instance of a running application created from a Docker image. It is not a component of Docker but rather the result of the Docker daemon's operations.
Why dockerd?
Central Role: The Docker daemon (dockerd) is the backbone of the Docker platform, managing all aspects of container lifecycle management.
Integration: It interacts with the host operating system and container runtime to execute tasks like building images, starting containers, and managing resources.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers Docker as part of its containerization curriculum. Understanding the role of the Docker daemon is essential for managing containerized applications in cloud environments.
For example, Juniper Contrail integrates with Docker to provide advanced networking and security features for containerized workloads, relying on the Docker daemon to manage containers.
Reference:
Docker Documentation: Docker Daemon
Juniper JNCIA-Cloud Study Guide: Containerization
NEW QUESTION # 44
Click the Exhibit button.
You apply the manifest file shown in the exhibit.
Which two statements are correct in this scenario? (Choose two.)
- A. This manifest is used to create a deploymentConfig.
- B. Four pods are created as a result of applying this manifest.
- C. This manifest is used to create a deployment.
- D. The created pods are receiving traffic on port 80.
Answer: C,D
Explanation:
The provided YAML manifest defines a Kubernetes Deployment object that creates and manages a set of pods running the NGINX web server. Let's analyze each statement in detail:
A . The created pods are receiving traffic on port 80.
Correct:
The containerPort: 80 field in the manifest specifies that the NGINX container listens on port 80 for incoming traffic.
While this does not expose the pods externally, it ensures that the application inside the pod (NGINX) is configured to receive traffic on port 80.
B . This manifest is used to create a deployment.
Correct:
The kind: Deployment field explicitly indicates that this manifest is used to create a Kubernetes Deployment .
Deployments are used to manage the desired state of pods, including scaling, rolling updates, and self-healing.
C . This manifest is used to create a deploymentConfig.
Incorrect:
deploymentConfig is a concept specific to OpenShift, not standard Kubernetes. In OpenShift, deploymentConfig provides additional features like triggers and lifecycle hooks, but this manifest uses the standard Kubernetes Deployment object.
D . Four pods are created as a result of applying this manifest.
Incorrect:
The replicas: 3 field in the manifest specifies that the Deployment will create three replicas of the NGINX pod. Therefore, only three pods are created, not four.
Why These Statements?
Traffic on Port 80:
The containerPort: 80 field ensures that the NGINX application inside the pod listens on port 80. This is critical for the application to function as a web server.
Deployment Object:
The kind: Deployment field confirms that this manifest creates a Kubernetes Deployment, which manages the lifecycle of the pods.
Replica Count:
The replicas: 3 field explicitly states that three pods will be created. Any assumption of four pods is incorrect.
Additional Context:
Kubernetes Deployments:
Deployments are one of the most common Kubernetes objects used to manage stateless applications. They ensure that the desired number of pod replicas is always running and can handle updates or rollbacks seamlessly.
Ports in Kubernetes:
The containerPort field in the pod specification defines the port on which the containerized application listens. However, to expose the pods externally, a Kubernetes Service (e.g., NodePort, LoadBalancer) must be created.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers Kubernetes concepts, including Deployments, Pods, and networking. Understanding how Deployments work and how ports are configured is essential for managing containerized applications in cloud environments.
For example, Juniper Contrail integrates with Kubernetes to provide advanced networking and security features for Deployments like the one described in the exhibit.
Reference:
Kubernetes Documentation: Deployments
Kubernetes Documentation: Pod Networking
Juniper JNCIA-Cloud Study Guide: Kubernetes Architecture
NEW QUESTION # 45
Your organization has legacy virtual machine workloads that need to be managed within a Kubernetes deployment.
Which Kubernetes add-on would be used to satisfy this requirement?
- A. Canal
- B. ADOT
- C. Romana
- D. KubeVirt
Answer: D
Explanation:
KubeVirt is a Kubernetes add-on that allows you to run and manage legacy virtual machine workloads alongside container workloads within a Kubernetes deployment. According to the KubeVirt website, KubeVirt is "a virtual machine management add-on for Kubernetes" that "aims to provide a common ground for virtualization solutions on top of Kubernetes". Other Kubernetes add- ons that are mentioned in the question are Canal, which is a network policy provider that combines Flannel and Calico; ADOT, which is a distribution of the OpenTelemetry Collector that supports tracing and metrics collection for AWS services; and Romana, which is a network and security automation solution that supports multiple network topologies and policies.
NEW QUESTION # 46
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