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Juniper JN0-214 Exam Syllabus Topics:
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Juniper Cloud, Associate (JNCIA-Cloud) Sample Questions (Q34-Q39):
NEW QUESTION # 34
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?
Answer: A
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 # 35
What are two characteristics of the OpenShift Assisted Installer? (Choose two.)
Answer: B,C
Explanation:
The OpenShift Assisted Installer uses one of the control plane nodes as a bootstrap node. It also offers REST APIs for the configuration and installation.
NEW QUESTION # 36
Which virtualization technique is used by containers?
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 # 37
Click the Exhibit button.
Referring to the exhibit, which statement is correct?
Answer: B
Explanation:
There are no virtual machines. Referring to the exhibit, which shows the output of the openstack server list command, we can see that there are no rows in the table, which means that there are no servers (or virtual machines) in the OpenStack environment. The command openstack server list is used to list servers that you can access. The other statements are incorrect, because the exhibit does not show any information about projects, services, or compute nodes. To list projects, you would use the command openstack project list. To list services, you would use the command openstack service list. To list compute nodes, you would use the command openstack compute service list.
NEW QUESTION # 38
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?
Answer: C
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 # 39
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