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Quiz Juniper - JN0-214 - High Hit-Rate Cloud, Associate (JNCIA-Cloud) Latest Dumps Questions

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Juniper JN0-214 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	Cloud Orchestration with OpenShift: This section of the exam measures the skills of DevOps Engineers and focuses on OpenShift-based orchestration. Candidates must understand how to create, manage, and monitor workloads using OpenShift, as well as navigate the OpenShift CLI and WebUI. The exam also tests knowledge of node types and different network configurations. One skill assessed is managing OpenShift workloads in a production environment.
Topic 3	Software-Defined Networking: This section of the exam measures the skills of Network Automation Engineers and focuses on SDN concepts, including its architecture, controllers, and solutions. Candidates must understand how SDN separates the control plane from the data plane to improve network agility and automation. The exam also evaluates knowledge of SDN’s role in modern cloud environments. One key skill assessed is identifying SDN components and their functions.
Topic 4	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 5	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.
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	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.

Juniper Cloud, Associate (JNCIA-Cloud) Sample Questions (Q45-Q50):

NEW QUESTION # 45
You want to create a template that defines the CPU, RAM, and disk space properties that a VM will use when instantiated.
In this scenario, which OpenStack object should you create?

A. role
B. Image
C. project
D. flavor

Answer: D

Explanation:
In OpenStack, a flavor defines the compute, memory, and storage properties of a virtual machine (VM) instance. Let's analyze each option:
A . role
Incorrect: A role defines permissions and access levels for users within a project. It is unrelated to defining VM properties.
B . Image
Incorrect: An image is a template used to create VM instances. While images define the operating system and initial configuration, they do not specify CPU, RAM, or disk space properties.
C . project
Incorrect: A project (or tenant) represents an isolated environment for managing resources. It does not define the properties of individual VMs.
D . flavor
Correct: A flavor specifies the CPU, RAM, and disk space properties that a VM will use when instantiated. For example, a flavor might define a VM with 2 vCPUs, 4 GB of RAM, and 20 GB of disk space.
Why Flavor?
Resource Specification: Flavors allow administrators to define standardized resource templates for VMs, ensuring consistency and simplifying resource allocation.
Flexibility: Users can select the appropriate flavor based on their workload requirements, making it easy to deploy VMs with predefined configurations.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers OpenStack concepts, including flavors, as part of its cloud infrastructure curriculum. Understanding how flavors define VM properties is essential for managing compute resources effectively.
For example, Juniper Contrail integrates with OpenStack Nova to provide advanced networking features for VMs deployed using specific flavors.
Reference:
OpenStack Nova Documentation: Flavors
Juniper JNCIA-Cloud Study Guide: OpenStack Compute

NEW QUESTION # 46
Which container runtime engine is used by default in OpenShift?

A. cri-o
B. runC
C. containerd
D. Docker

Answer: A

Explanation:
OpenShift uses a container runtime engine to manage and run containers within its Kubernetes-based environment. Let's analyze each option:
A . containerd
Incorrect:
While containerd is a popular container runtime used in Kubernetes environments, it is not the default runtime for OpenShift. OpenShift uses a runtime specifically optimized for Kubernetes workloads.
B . cri-o
Correct:
CRI-O is the default container runtime engine for OpenShift. It is a lightweight, Kubernetes-native runtime that implements the Container Runtime Interface (CRI) and is optimized for running containers in Kubernetes environments.
C . Docker
Incorrect:
Docker was historically used as a container runtime in earlier versions of Kubernetes and OpenShift. However, OpenShift has transitioned to CRI-O as its default runtime, as Docker's architecture is not directly aligned with Kubernetes' requirements.
D . runC
Incorrect:
runC is a low-level container runtime that executes containers. While it is used internally by higher-level runtimes like containerd and cri-o, it is not used directly as the runtime engine in OpenShift.
Why CRI-O?
Kubernetes-Native Design: CRI-O is purpose-built for Kubernetes, ensuring compatibility and performance.
Lightweight and Secure: CRI-O provides a minimalistic runtime that focuses on running containers efficiently and securely.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers container runtimes as part of its curriculum on container orchestration platforms. Understanding the role of CRI-O in OpenShift is essential for managing containerized workloads effectively.
For example, Juniper Contrail integrates with OpenShift to provide advanced networking features, leveraging CRI-O for container execution.
Reference:
OpenShift Documentation: CRI-O Runtime
Juniper JNCIA-Cloud Study Guide: Container Runtimes

NEW QUESTION # 47
Which two statements are correct about OpenShift monitoring? (Choose two.)

A. OpenShifhas its own monitoring framework.
B. OpenShifis not able to configure customized alerts.
C. OpenShifmonitoring is not compatible with Grafana.
D. OpenShifis able to configure customized alerts.

Answer: A,D

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 # 48
Your e-commerce application is deployed on a public cloud. As compared to the rest of the year, it receives substantial traffic during the Christmas season.
In this scenario, which cloud computing feature automatically increases or decreases the resource based on the demand?

A. on-demand self-service
B. broad network access
C. rapid elasticity
D. resource pooling

Answer: C

Explanation:
Cloud computing provides several key characteristics that enable flexible and scalable resource management. Let's analyze each option:
A . resource pooling
Incorrect: Resource pooling refers to the sharing of computing resources (e.g., storage, processing power) among multiple users or tenants. While important, it does not directly address the automatic scaling of resources based on demand.
B . on-demand self-service
Incorrect: On-demand self-service allows users to provision resources (e.g., virtual machines, storage) without requiring human intervention. While this is a fundamental feature of cloud computing, it does not describe the ability to automatically scale resources.
C . rapid elasticity
Correct: Rapid elasticity is the ability of a cloud environment to dynamically increase or decrease resources based on demand. This ensures that applications can scale up during peak traffic periods (e.g., Christmas season) and scale down during low-demand periods, optimizing cost and performance.
D . broad network access
Incorrect: Broad network access refers to the ability to access cloud services over the internet from various devices. While essential for accessibility, it does not describe the scaling of resources.
Why Rapid Elasticity?
Dynamic Scaling: Rapid elasticity ensures that resources are provisioned or de-provisioned automatically to meet changing workload demands.
Cost Efficiency: By scaling resources only when needed, organizations can optimize costs while maintaining performance.
JNCIA Cloud Reference:
The JNCIA-Cloud certification emphasizes the key characteristics of cloud computing, including rapid elasticity. Understanding this concept is essential for designing scalable and cost-effective cloud architectures.
For example, Juniper Contrail supports cloud elasticity by enabling dynamic provisioning of network resources in response to changing demands.
Reference:
NIST Cloud Computing Reference Architecture
Juniper JNCIA-Cloud Study Guide: Cloud Characteristics

NEW QUESTION # 49
Click the Exhibit button.

Referring to the exhibit, what does port: 8080 represent?

A. It is the port that is exposed to clients that are external to the cluster.
B. It is the port on which the webapp pod is listening.
C. It is the port that is used by the external load balancer.
D. It is the port that is exposed to clients that are internal to the cluster.

Answer: D

Explanation:
In the context of a Kubernetes service, port: 8080 represents the port that is exposed to clients that are internal to the cluster. This is the stable port the Service exposes inside the cluster -- other Pods in the cluster send traffic to this port.

NEW QUESTION # 50
......

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JN0-214 Guide Torrent - JN0-214 Exam Prep - JN0-214 Pass Rate

Quiz Juniper - JN0-214 - High Hit-Rate Cloud, Associate (JNCIA-Cloud) Latest Dumps Questions

Juniper JN0-214 Exam Syllabus Topics:

Juniper Cloud, Associate (JNCIA-Cloud) Sample Questions (Q45-Q50):

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