2025 The Best Juniper New JN0-214 Test Question

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Juniper JN0-214 Exam Syllabus Topics:

Topic	Details
Topic 1	Linux Containers: This section of the exam measures the skills of Containerization Specialists and covers the concepts of Linux containers. Candidates must understand the differences between virtual machines and containers, as well as container components. The exam tests the ability to create and manage containers using Docker. One key skill assessed is deploying and managing containers efficiently.
Topic 2	Cloud Virtualization: This section of the exam measures the skills of Linux System Administrators and covers Linux-based virtualization technologies. Candidates must understand Linux architecture, hypervisors (Type 1 & 2), and KVM QEMU operations. The exam also includes creating virtual machines and managing Linux virtualization environments. One skill assessed is setting up and managing Linux-based virtual machines effectively.
Topic 3	Network Functions Virtualization: This section of the exam measures the skills of Virtualization Specialists and covers the core principles of NFV. Candidates will be tested on NFV architecture, orchestration, and Virtual Network Functions (VNFs), which are crucial for creating scalable and flexible network infrastructures. Understanding NFV helps optimize network performance and reduce dependency on hardware-based solutions. One skill assessed is the ability to explain NFV’s role in modern network management.
Topic 4	Network Virtualization: This section of the exam measures the skills of Cloud Network Architects and evaluates the principles of network virtualization. Candidates must understand different types of virtual networks, as well as underlay and overlay network configurations. The exam also covers encapsulation and tunneling technologies such as MPLS over GRE, VXLAN, and GENEVE. One skill assessed is the ability to differentiate between underlay and overlay networks in cloud environments.
Topic 5	Cloud Orchestration with OpenStack: This section of the exam measures the skills of Cloud Operations Engineers and evaluates expertise in OpenStack-based orchestration. Candidates must understand how to create and manage virtual machines in OpenStack, use HEAT templates for automation, and navigate OpenStack interfaces. The exam also covers OpenStack networking plugins and security groups. One skill assessed is automating cloud deployments using HEAT templates.
Topic 6	Cloud Fundamentals: This section of the exam measures the skills of Cloud Infrastructure Engineers and covers the fundamental concepts of cloud networking. Candidates must understand different deployment models such as public, private, and hybrid cloud, as well as service models such as SaaS, IaaS, and PaaS. The exam also tests knowledge of cloud-native architectures, automation tools, and infrastructure technologies, including Network Functions Virtualization (NFV) and Software-Defined Networking (SDN). One key skill assessed is identifying appropriate cloud deployment models for different business needs.
Topic 7	Cloud Orchestration with Kubernetes: This section of the exam measures the skills of Kubernetes Administrators and tests their knowledge of container orchestration. Candidates must demonstrate proficiency in creating and managing Kubernetes containers, working with API objects such as Pods, ReplicaSets, Deployments, and Services, and configuring namespaces and CNI plugins. One key skill assessed is deploying and scaling Kubernetes applications effectively.

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Juniper Cloud, Associate (JNCIA-Cloud) Sample Questions (Q11-Q16):

NEW QUESTION # 11
You must install a basic Kubernetes cluster.
Which tool would you use in this situation?

A. kubeadm
B. kubectl apply
C. dashboard
D. kubectl create

Answer: A

Explanation:
To install a basic Kubernetes cluster, you need a tool that simplifies the process of bootstrapping and configuring the cluster. Let's analyze each option:
A . kubeadm
Correct:
kubeadm is a command-line tool specifically designed to bootstrap a Kubernetes cluster. It automates the process of setting up the control plane and worker nodes, making it the most suitable choice for installing a basic Kubernetes cluster.
B . kubectl apply
Incorrect:
kubectl apply is used to deploy resources (e.g., pods, services) into an existing Kubernetes cluster by applying YAML or JSON manifests. It does not bootstrap or install a new cluster.
C . kubectl create
Incorrect:
kubectl create is another Kubernetes CLI command used to create resources in an existing cluster. Like kubectl apply, it does not handle cluster installation.
D . dashboard
Incorrect:
The Kubernetes dashboard is a web-based UI for managing and monitoring a Kubernetes cluster. It requires an already-installed cluster and cannot be used to install one.
Why kubeadm?
Cluster Bootstrapping: kubeadm provides a simple and standardized way to initialize a Kubernetes cluster, including setting up the control plane and joining worker nodes.
Flexibility: While it creates a basic cluster, it allows for customization and integration with additional tools like CNI plugins.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers Kubernetes installation methods, including kubeadm. Understanding how to use kubeadm is essential for deploying and managing Kubernetes clusters effectively.
For example, Juniper Contrail integrates with Kubernetes clusters created using kubeadm to provide advanced networking and security features.
Reference:
Kubernetes Documentation: kubeadm
Juniper JNCIA-Cloud Study Guide: Kubernetes Installation

NEW QUESTION # 12
Which two tools are used to deploy a Kubernetes environment for testing and development purposes? (Choose two.)

A. OpenStack
B. minikube
C. oc
D. kind

Answer: B,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 # 13
Which cloud automation tool uses YAML playbook to install software and tools on servers?

A. Terraform
B. Heat
C. Ansible
D. Python

Answer: C

Explanation:
Cloud automation tools streamline the deployment and management of software, tools, and infrastructure in cloud environments. Let's analyze each option:
A . Python
Incorrect: Python is a general-purpose programming language, not a cloud automation tool. While Python scripts can be used for automation, it is not specifically designed for this purpose.
B . Ansible
Correct: Ansible is a popular automation tool that uses YAML-based playbooks to define and execute tasks. It automates the installation of software, configuration management, and application deployment on servers. Ansible's simplicity and agentless architecture make it widely adopted in cloud environments.
C . Terraform
Incorrect: Terraform is an infrastructure-as-code (IaC) tool used to provision and manage cloud infrastructure (e.g., virtual machines, networks, storage). It uses HashiCorp Configuration Language (HCL), not YAML, for defining configurations.
D . Heat
Incorrect: Heat is an orchestration tool in OpenStack that uses YAML templates to define and deploy cloud resources. While it supports YAML, it is specific to OpenStack and focuses on infrastructure provisioning rather than server-level software installation.
Why Ansible?
YAML Playbooks: Ansible uses YAML-based playbooks to define tasks, making it easy to read and write automation scripts.
Agentless Architecture: Ansible operates over SSH, eliminating the need for agents on target servers.
Versatility: Ansible can automate a wide range of tasks, from software installation to configuration management.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers automation tools as part of its cloud operations curriculum. Tools like Ansible are essential for automating repetitive tasks and ensuring consistency in cloud environments.
For example, Juniper Contrail integrates with Ansible to automate the deployment and configuration of network services, enabling efficient management of cloud resources.
Reference:
Ansible Documentation: YAML Playbooks
Juniper JNCIA-Cloud Study Guide: Automation Tools

NEW QUESTION # 14
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 # 15
Which cloud automation tool uses YAML playbooks to install software and tools on servers?

A. Terraform
B. Heat
C. Ansible
D. Python

Answer: C

Explanation:
According to the Ansible documentation4, Ansible playbooks are "automation blueprints, in YAML format, that Ansible uses to deploy and configure nodes in an inventory". Other cloud automation tools that are mentioned in the question are Terraform, which uses HCL (HashiCorp Configuration Language) or JSON files to provision infrastructure resources; Python, which is a general-purpose programming language that can be used for various automation tasks; and Heat, which is an orchestration service for OpenStack that uses HOT (Heat Orchestration Template) or CFN (AWS CloudFormation) formats to describe stacks of cloud resources.

NEW QUESTION # 16
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