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JN0-214 Exam Dumps Demo - JN0-214 Valid Test Blueprint
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JN0-214 Valid Test Blueprint & JN0-214 Study Guide
The Certified Production and JN0-214 certification is a valuable credential earned by individuals to validate their skills and competence to perform certain job tasks. Your Cloud, Associate (JNCIA-Cloud) JN0-214 Certification is usually displayed as proof that you’ve been trained, educated, and prepared to meet the specific requirement for your professional role.
Juniper JN0-214 Exam Syllabus Topics:
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Juniper Cloud, Associate (JNCIA-Cloud) Sample Questions (Q35-Q40):
NEW QUESTION # 35
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:
Minikube and kind are two tools that are commonly used to deploy a Kubernetes environment for testing and development purposes.
NEW QUESTION # 36
Which OpenStack node runs the network agents?
- A. compute
- B. block storage
- C. controller
- D. object storage
Answer: C
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 # 37
You are provisioning workloads on worker nodes in a Kubernetes cluster.
Which CN2 component is responsible for generating associated routes?
- A. Contrail kube-manager
- B. vRouter forwarding plane
- C. vRouter agent microservice
- D. Configuration Resource (CR) controllers
Answer: C
Explanation:
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.
NEW QUESTION # 38
Which statement about software-defined networking is true?
- A. It must manage networks through the use of containers and repositories.
- B. It manages networks by separating the data forwarding plane from the control plane.
- C. It manages networks by merging the data forwarding plane with the control plane.
- D. It applies security policies individually to each separate node.
Answer: B
Explanation:
Software-Defined Networking (SDN) is a revolutionary approach to network management that separates the control plane from the data (forwarding) plane. Let's analyze each option:
A . It must manage networks through the use of containers and repositories.
Incorrect: While containers and repositories are important in cloud-native environments, they are not a requirement for SDN. SDN focuses on programmability and centralized control, not containerization.
B . It manages networks by separating the data forwarding plane from the control plane.
Correct: SDN separates the control plane (decision-making) from the data forwarding plane (packet forwarding). This separation enables centralized control, programmability, and dynamic network management.
C . It applies security policies individually to each separate node.
Incorrect: SDN applies security policies centrally through the SDN controller, not individually to each node. Centralized policy enforcement is one of the key advantages of SDN.
D . It manages networks by merging the data forwarding plane with the control plane.
Incorrect: Merging the forwarding and control planes contradicts the fundamental principle of SDN. The separation of these planes is what enables SDN's flexibility and programmability.
Why This Answer?
Separation of Planes: By decoupling the control plane from the forwarding plane, SDN enables centralized control over network devices. This architecture simplifies network management, improves scalability, and supports automation.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers SDN as a core concept in cloud networking. Understanding the separation of the control and forwarding planes is essential for designing and managing modern cloud environments.
For example, Juniper Contrail serves as an SDN controller, centralizing control over network devices and enabling advanced features like network automation and segmentation.
Reference:
Open Networking Foundation (ONF) SDN Architecture
Juniper JNCIA-Cloud Study Guide: Software-Defined Networking
NEW QUESTION # 39
Which virtualization technique is used by containers?
- A. OS-level virtualization
- B. paravirtualization
- C. hardware-assisted virtualization
- D. full visualization
Answer: A
Explanation:
This technique allows multiple isolated user-space instances to be created by the host operating system. Unlike full virtualization, where the entire system's hardware is emulated, OS-level virtualization shares the host's operating system kernel but isolates the application processes.
NEW QUESTION # 40
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