Valid JN0-214 Dumps | Exam JN0-214 Format
Valid JN0-214 Dumps | Exam JN0-214 Format
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Valid JN0-214 Dumps | Efficient JN0-214: Cloud, Associate (JNCIA-Cloud)
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Juniper Cloud, Associate (JNCIA-Cloud) Sample Questions (Q52-Q57):
NEW QUESTION # 52
Which key value store is used as a Kubernetes's backend store?
- A. mongodb
- B. etcd
- C. postgres
- D. firebase
Answer: B
Explanation:
Kubernetes relies on a distributed key-value store to maintain its state and configuration data. Let's analyze each option:
A . etcd
Correct: etcd is a distributed key-value store used as Kubernetes' backend store. It stores all cluster data, including configurations, states, and metadata, ensuring consistency and reliability across the cluster.
B . firebase
Incorrect: Firebase is a Backend-as-a-Service (BaaS) platform for building mobile and web applications. It is unrelated to Kubernetes.
C . postgres
Incorrect: PostgreSQL is a relational database management system. While it can be used for other purposes, it is not the backend store for Kubernetes.
D . mongodb
Incorrect: MongoDB is a NoSQL database used for storing unstructured data. It is not used as Kubernetes' backend store.
Why etcd?
High Availability: etcd is designed for distributed systems, providing strong consistency and fault tolerance.
Cluster State Management: Kubernetes uses etcd to store critical data such as pod states, service definitions, and configuration details.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers Kubernetes architecture, including the role of etcd. Understanding etcd's function is essential for managing and troubleshooting Kubernetes clusters.
For example, Juniper Contrail integrates with Kubernetes to provide networking and security features, relying on etcd for cluster state management.
Reference:
Kubernetes Documentation: etcd
Juniper JNCIA-Cloud Study Guide: Kubernetes Architecture
NEW QUESTION # 53
Which two statements are correct about an overlay network? (Choose two.)
- A. The overlay network can only be built using a Layer 3 underlay network.
- B. The overlay network is the virtual network used to connect multiple virtual machines (VMs).
- C. The overlay network is built using encapsulation tunnels.
- D. The overlay network provides physical connectivity between devices.
Answer: B,C
Explanation:
An overlay network is a virtual network that is built on top of another network. Nodes in the overlay network are connected by virtual or logical links, each of which corresponds to a path, perhaps through many physical links, in the underlying network. For example, distributed systems such as peer-to-peer networks and client-server applications often overlay their own network connections over the physical network connections provided by the Internet.
NEW QUESTION # 54
Which type of virtualization provides containerization and uses a microservices architecture?
- A. full virtualization
- B. OS-level virtualization
- C. paravirtualization
- D. hardware-assisted virtualization
Answer: B
Explanation:
Virtualization technologies enable the creation of isolated environments for running applications or services. Let's analyze each option:
A . hardware-assisted virtualization
Incorrect: Hardware-assisted virtualization (e.g., Intel VT-x, AMD-V) provides support for running full virtual machines (VMs) on physical hardware. It is not related to containerization or microservices architecture.
B . OS-level virtualization
Correct: OS-level virtualization enables containerization , where multiple isolated user-space instances (containers) run on a single operating system kernel. Containers are lightweight and share the host OS kernel, making them ideal for microservices architectures. Examples include Docker and Kubernetes.
C . full virtualization
Incorrect: Full virtualization involves running a complete guest operating system on top of a hypervisor (e.g., VMware ESXi, KVM). While it provides strong isolation, it is not as lightweight or efficient as containerization for microservices.
D . paravirtualization
Incorrect: Paravirtualization involves modifying the guest operating system to communicate directly with the hypervisor. Like full virtualization, it is used for running VMs, not containers.
Why OS-Level Virtualization?
Containerization: OS-level virtualization creates isolated environments (containers) that share the host OS kernel but have their own file systems, libraries, and configurations.
Microservices Architecture: Containers are well-suited for deploying microservices because they are lightweight, portable, and scalable.
JNCIA Cloud Reference:
The JNCIA-Cloud certification emphasizes understanding virtualization technologies, including OS-level virtualization. Containerization is a key component of modern cloud-native architectures, enabling efficient deployment of microservices.
For example, Juniper Contrail integrates with Kubernetes to manage containerized workloads in cloud environments. OS-level virtualization is fundamental to this integration.
Reference:
Docker Documentation: Containerization
Juniper JNCIA-Cloud Study Guide: Virtualization
NEW QUESTION # 55
Which OpenStack node runs the network agents?
- A. controller
- B. block storage
- C. object storage
- D. compute
Answer: A
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 # 56
What are two reasons to create a Kubernetes deployment rather than work with pods directly?
(Choose two.)
- A. A deployment is ephemeral and therefore requires less configuration.
- B. A deployment contains imperative instructions on how to re-create a pod if a pod dies unexpectedly.
- C. A deployment simplifies pod updates and roll-outs.
- D. A deployment ensures that the desired number of pods is running at all times.
Answer: C,D
Explanation:
A Kubernetes deployment is a resource object in Kubernetes that provides declarative updates to applications. It allows you to describe an application's life cycle, such as which images to use for the app, the number of pods there should be, and the way in which they should be updated. Two reasons to create a Kubernetes deployment rather than work with pods directly are:
A deployment ensures that the desired number of pods is running at all times. If a pod crashes, the Deployment will automatically re-create it.
A deployment simplifies pod updates and roll-outs. It allows you to describe a desired state in its specification and the Deployment controller changes the actual state to the desired state at a controlled rate.
NEW QUESTION # 57
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