LATEST JN0-214 TEST QUESTION - GUARANTEED JN0-214 PASSING

Latest JN0-214 Test Question - Guaranteed JN0-214 Passing

Latest JN0-214 Test Question - Guaranteed JN0-214 Passing

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Juniper Cloud, Associate (JNCIA-Cloud) Sample Questions (Q26-Q31):

NEW QUESTION # 26
What are two Kubernetes worker node components? (Choose two.)

  • A. kube-scheduler
  • B. kubelet
  • C. kube-proxy
  • D. kube-apiserver

Answer: B,C

Explanation:
Kubernetes worker nodes are responsible for running containerized applications and managing the workloads assigned to them. Each worker node contains several key components that enable it to function within a Kubernetes cluster. Let's analyze each option:
A . kube-apiserver
Incorrect: The kube-apiserver is a control plane component, not a worker node component. It serves as the front-end for the Kubernetes API, handling communication between the control plane and worker nodes.
B . kubelet
Correct: The kubelet is a critical worker node component. It ensures that containers are running in the desired state by interacting with the container runtime (e.g., containerd). It communicates with the control plane to receive instructions and report the status of pods.
C . kube-scheduler
Incorrect: The kube-scheduler is a control plane component responsible for assigning pods to worker nodes based on resource availability and other constraints. It does not run on worker nodes.
D . kube-proxy
Correct: The kube-proxy is another essential worker node component. It manages network communication for services and pods by implementing load balancing and routing rules. It ensures that traffic is correctly forwarded to the appropriate pods.
Why These Components?
kubelet: Ensures that containers are running as expected and maintains the desired state of pods.
kube-proxy: Handles networking and enables communication between services and pods within the cluster.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers Kubernetes architecture, including the roles of worker node components. Understanding the functions of kubelet and kube-proxy is crucial for managing Kubernetes clusters and troubleshooting issues.
For example, Juniper Contrail integrates with Kubernetes to provide advanced networking and security features. Proficiency with worker node components ensures efficient operation of containerized workloads.
Reference:
Kubernetes Documentation: Worker Node Components
Juniper JNCIA-Cloud Study Guide: Kubernetes Architecture


NEW QUESTION # 27
What is the role of overlay tunnels in an overlay software-defined networking (SDN) solution?

  • A. The overlay tunnels provide optimization of traffic for performance and resilience.
  • B. The overlay tunnels provide microsegmentation for workloads.
  • C. The overlay tunnels abstract the underlay network topology.
  • D. The overlay tunnels provide load balancing and scale out for applications.

Answer: C

Explanation:
In an overlay software-defined networking (SDN) solution, overlay tunnels play a critical role in abstracting the underlying physical network (underlay) from the virtualized network (overlay). Let's analyze each option:
A . The overlay tunnels provide optimization of traffic for performance and resilience.
Incorrect: While overlay tunnels can contribute to traffic optimization indirectly, their primary role is not performance or resilience. These aspects are typically handled by SDN controllers or other network optimization tools.
B . The overlay tunnels provide load balancing and scale out for applications.
Incorrect: Load balancing and scaling are functions of application-level services or SDN controllers, not the overlay tunnels themselves. Overlay tunnels focus on encapsulating traffic rather than managing application workloads.
C . The overlay tunnels provide microsegmentation for workloads.
Incorrect: Microsegmentation is achieved through policies and security rules applied at the overlay network level, not directly by the tunnels themselves. Overlay tunnels enable the transport of segmented traffic but do not enforce segmentation.
D . The overlay tunnels abstract the underlay network topology.
Correct: Overlay tunnels encapsulate traffic between endpoints (e.g., VMs, containers) and hide the complexity of the underlay network. This abstraction allows the overlay network to operate independently of the physical network topology, enabling flexibility and scalability.
Why This Answer?
Abstraction of Underlay: Overlay tunnels use encapsulation protocols like VXLAN, GRE, or MPLS to create virtualized networks that are decoupled from the physical infrastructure. This abstraction simplifies network management and enables advanced features like multi-tenancy and mobility.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers overlay and underlay networks as part of its SDN curriculum. Understanding the role of overlay tunnels is essential for designing and managing virtualized networks in cloud environments.
For example, Juniper Contrail uses overlay tunnels to provide connectivity between virtual machines (VMs) and containers, abstracting the physical network and enabling seamless communication across distributed environments.
Reference:
Juniper JNCIA-Cloud Study Guide: Overlay Networks
Network Virtualization Documentation


NEW QUESTION # 28
What is the name of the Docker container runtime?

  • A. containerd
  • B. docker cl
  • C. dockerd
  • D. cri-o

Answer: A

Explanation:
The name of the Docker container runtime is containerd, which is a daemon that manages the complete container lifecycle of its host system, from image transfer and storage to container execution and supervision to low-level storage to network attachments and beyond. Dockerd is the Docker daemon that acts as the primary user interface for Docker. Docker cl is not a valid name for any Docker component. Cri-o is another container runtime that implements the Kubernetes Container Runtime Interface (CRI) to enable using OCI (Open Container Initiative) compatible runtimes.


NEW QUESTION # 29
Click the Exhibit button.

Referring to the exhibit, which two statements are correct? (Choose two.)

  • A. The myvSRX instance is using a default image.
  • B. The c using a custom flavor.
  • C. The myvSRX instance is currently running.
  • D. The myvSRX instance is part of a default network.

Answer: B,C

Explanation:
Based on the image description provided, the instance named 'myvSRX' appears to be using a custom flavor (not default) and is currently in an 'ACTIVE' state, which means it is running.


NEW QUESTION # 30
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?
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:
Linux provides several features to manage system resources and isolate processes. Let's analyze each option:
A . virtual routing and forwarding instances
Incorrect: Virtual Routing and Forwarding (VRF) is a networking feature used to create multiple routing tables on a single router or host. It is unrelated to limiting memory, CPU, or network utilization for processes.
B . network namespaces
Incorrect: Network namespaces are used to isolate network resources (e.g., interfaces, routing tables) for processes. While they can help with network isolation, they do not directly limit memory or CPU usage.
C . control groups
Correct: Control Groups (cgroups) are a Linux kernel feature that allows you to limit, account for, and isolate the resource usage (CPU, memory, disk I/O, network) of a set of processes. cgroups are commonly used in containerization technologies like Docker and Kubernetes to enforce resource limits.
D . slicing
Incorrect: "Slicing" is not a recognized Linux feature for resource management. This term may refer to dividing resources in other contexts but is not relevant here.
Why Control Groups?
Resource Management: cgroups provide fine-grained control over memory, CPU, and network utilization, ensuring that processes do not exceed their allocated resources.
Containerization Foundation: cgroups are a core technology behind container runtimes like containerd and orchestration platforms like Kubernetes.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers Linux features like cgroups as part of its containerization curriculum. Understanding cgroups is essential for managing resource allocation in cloud environments.
For example, Juniper Contrail integrates with Kubernetes to manage containerized workloads, leveraging cgroups to enforce resource limits.
Reference:
Linux Kernel Documentation: Control Groups
Juniper JNCIA-Cloud Study Guide: Linux Features


NEW QUESTION # 31
......

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