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When it comes to negotiating your salary with reputed tech firms, you could feel entirely helpless if you're a fresh graduate or don't have enough experience. You will have no trouble landing a well-paid job in a reputed company if you have Juniper JN0-214 Certification on your resume. Success in the test is also a stepping stone to climbing the career ladder. If you are determined enough, you can get top positions in your firm with the Juniper JN0-214 certification.

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 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

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 4

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.

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Juniper Cloud, Associate (JNCIA-Cloud) Sample Questions (Q18-Q23):

NEW QUESTION # 18
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. Glance
B. Nova
C. Neutron
D. Ironic

Answer: A

Explanation:
The service that stores the virtual machine (VM) image in OpenStack is Glance. Glance is the image service in OpenStack that allows you to discover, register, retrieve, and store virtual machine images.

NEW QUESTION # 19
Which type of virtualization provides containerization and uses a microservices architecture?

A. full virtualization
B. hardware-assisted virtualization
C. OS-level virtualization
D. paravirtualization

Answer: C

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 # 20
Which two CPU flags indicate virtualization? (Choose two.)

A. xvm
B. kvm
C. vmx
D. lvm

Answer: B,C

Explanation:
CPU flags indicate hardware support for specific features, including virtualization. Let's analyze each option:
A . lvm
Incorrect: LVM (Logical Volume Manager) is a storage management technology used in Linux systems. It is unrelated to CPU virtualization.
B . vmx
Correct: The vmx flag indicates Intel Virtualization Technology (VT-x), which provides hardware-assisted virtualization capabilities. This feature is essential for running hypervisors like VMware ESXi, KVM, and Hyper-V.
C . xvm
Incorrect: xvm is not a recognized CPU flag for virtualization. It may be a misinterpretation or typo.
D . kvm
Correct: The kvm flag indicates Kernel-based Virtual Machine (KVM) support, which is a Linux kernel module that leverages hardware virtualization extensions (e.g., Intel VT-x or AMD-V) to run virtual machines. While kvm itself is not a CPU flag, it relies on hardware virtualization features like vmx (Intel) or svm (AMD).
Why These Answers?
Hardware Virtualization Support: Both vmx (Intel VT-x) and kvm (Linux virtualization) are directly related to CPU virtualization. These flags enable efficient execution of virtual machines by offloading tasks to the CPU.
JNCIA Cloud Reference:
The JNCIA-Cloud certification emphasizes understanding virtualization technologies, including hardware-assisted virtualization. Recognizing CPU flags like vmx and kvm is crucial for deploying and troubleshooting virtualized environments.
For example, Juniper Contrail integrates with hypervisors like KVM to manage virtualized workloads in cloud environments. Ensuring hardware virtualization support is a prerequisite for deploying such solutions.
Reference:
Intel Virtualization Technology Documentation
KVM Documentation
Juniper JNCIA-Cloud Study Guide: Virtualization

NEW QUESTION # 21
Which component is directly responsible for running containers in a Kubernetes node?

A. container runtime
B. kubelet
C. kube controller
D. kube-proxy

Answer: A

Explanation:
This question seems to be asking about a Kubernetes component that is responsible for running containers. Let's analyze each option:
A . kubelet
Incorrect: The kubelet is responsible for managing the state of pods and containers on a worker node. It ensures that containers are running as expected but does not directly execute or run the containers.
B . kube-proxy
Incorrect: The kube-proxy manages network communication for services and pods by implementing load balancing and routing rules. It does not handle the execution of containers.
C . container runtime
Correct: The container runtime (e.g., containerd, cri-o) is the component that actually runs and manages containers on a Kubernetes node. It interacts with the operating system to start, stop, and manage containerized applications.
D . kube controller
Incorrect: The kube controller is part of the control plane and ensures that the desired state of the cluster (e.g., number of replicas) is maintained. It does not directly run containers.
Why Container Runtime?
Execution of Containers: The container runtime is responsible for pulling container images, starting containers, and managing their lifecycle.
Integration with Kubernetes: Kubernetes communicates with the container runtime through the Container Runtime Interface (CRI).
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers Kubernetes architecture, including the role of the container runtime. Understanding how containers are executed is essential for managing Kubernetes clusters.
For example, Juniper Contrail integrates with Kubernetes to provide networking and security for containerized workloads, relying on the container runtime to execute applications.
Reference:
Kubernetes Documentation: Container Runtimes
Juniper JNCIA-Cloud Study Guide: Kubernetes Architecture

NEW QUESTION # 22
You want to limit the memory, CPU, and network utilization of a set of processes running on a Linux host.
Which Linux feature would you configure in this scenario?

A. virtual routing and forwarding instances
B. control groups
C. network namespaces
D. slicing

Answer: B

Explanation:
Control groups (cgroups) is a Linux kernel feature that limits, accounts for, and isolates the CPU, memory, disk I/O, and network usage of one or more processes. It allows you to allocate resources among user-defined groups of processes running on a system. You can monitor the groups of processes, deny the groups of processes access to certain resources, or even freeze groups of processes.

NEW QUESTION # 23
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Robert Parker Robert Parker

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