NEW APP JN0-214 SIMULATIONS & NEW EXAM JN0-214 MATERIALS

New APP JN0-214 Simulations & New Exam JN0-214 Materials

New APP JN0-214 Simulations & New Exam JN0-214 Materials

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Juniper Cloud, Associate (JNCIA-Cloud) Sample Questions (Q30-Q35):

NEW QUESTION # 30
Which two statements are true about VRF instances? (Choose two.)

  • A. VRFs share a single routing table.
  • B. VRFs do not enable overlapping IP addresses within the same cloud network.
  • C. Each VRF has its own routing table.
  • D. VRFs enable overlapping IP addresses within the same cloud network.

Answer: C,D

Explanation:
Virtual Routing and Forwarding (VRF) is a technology that allows multiple instances of a routing table to coexist within the same router at the same time. Because the routing instances are independent, overlapping IP addresses can be used without conflict. Each VRF has its own routing table.


NEW QUESTION # 31
Your company has a Web app hosted in Kubernetes with a fluctuating number of pods.
In this scenario, which Kubernetes service type would provide equal access to all nodes using a single URL?

  • A. NodePort
  • B. ExternalName
  • C. LoadBalancer
  • D. ClusterIP

Answer: C

Explanation:
The LoadBalancer service type in Kubernetes exposes the service externally using a cloud provider's load balancer. NodePort and ClusterIP services, to which the external load balancer routes, are automatically created.


NEW QUESTION # 32
Click the Exhibit button.

Referring to the exhibit, which port number would external users use to access the WEB application?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: A

Explanation:
The YAML file provided in the exhibit defines a Kubernetes Service object of type NodePort. Let's break down the key components of the configuration and analyze how external users access the WEB application:
Key Fields in the YAML File:
type: NodePort:
This specifies that the service is exposed on a static port on each node in the cluster. External users can access the service using the node's IP address and the assigned nodePort.
port: 8080:
This is the port on which the service is exposed internally within the Kubernetes cluster. Other services or pods within the cluster can communicate with this service using port 8080.
targetPort: 5000:
This is the port on which the actual application (WEB application) is running inside the pod. The service forwards traffic from port: 8080 to targetPort: 5000.
nodePort: 31000:
This is the port on the node (host machine) where the service is exposed externally. External users will use this port to access the WEB application.
How External Users Access the WEB Application:
External users access the WEB application using the node's IP address and the nodePort value (31000).
The Kubernetes service listens on this port and forwards incoming traffic to the appropriate pods running the WEB application.
Why Not Other Options?
A . 80: Port 80 is commonly used for HTTP traffic, but it is not specified in the YAML file. The service does not expose port 80 externally.
B . 8080: Port 8080 is the internal port used within the Kubernetes cluster. It is not the port exposed to external users.
D . 5000: Port 5000 is the target port where the application runs inside the pod. It is not directly accessible to external users.
Why 31000?
NodePort Service Type: The NodePort service type exposes the application on a high-numbered port (default range: 30000-32767) on each node in the cluster.
External Accessibility: External users must use the nodePort value (31000) along with the node's IP address to access the WEB application.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers Kubernetes networking concepts, including service types like ClusterIP, NodePort, and LoadBalancer. Understanding how NodePort services work is essential for exposing applications to external users in Kubernetes environments.
For example, Juniper Contrail integrates with Kubernetes to provide advanced networking features, such as load balancing and network segmentation, for services like the one described in the exhibit.
Reference:
Kubernetes Documentation: Service Types
Juniper JNCIA-Cloud Study Guide: Kubernetes Networking


NEW QUESTION # 33
Which Kubernetes component guarantees the availability of ReplicaSet pods on one or more nodes?

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

Answer: C

Explanation:
Kubernetes components work together to ensure the availability and proper functioning of resources like ReplicaSets. Let's analyze each option:
A . kube-proxy
Incorrect: The kube-proxy manages network communication for services and pods by implementing load balancing and routing rules. It does not guarantee the availability of ReplicaSet pods.
B . kube-scheduler
Incorrect: The kube-scheduler is responsible for assigning pods to nodes based on resource availability and other constraints. While it plays a role in pod placement, it does not ensure the availability of ReplicaSet pods.
C . kube controller
Correct: The kube controller (specifically the ReplicaSet controller) ensures that the desired number of pods specified in a ReplicaSet are running at all times. If a pod crashes or is deleted, the controller creates a new one to maintain the desired state.
D . kubelet
Incorrect: The kubelet ensures that containers are running as expected on a node but does not manage the overall availability of ReplicaSet pods across the cluster.
Why Kube Controller?
ReplicaSet Management: The ReplicaSet controller within the kube controller manager ensures that the specified number of pod replicas are always available.
Self-Healing: If a pod fails or is deleted, the controller automatically creates a new pod to maintain the desired state.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers Kubernetes control plane components, including the kube controller. Understanding the role of the kube controller is essential for managing the availability and scalability of Kubernetes resources.
For example, Juniper Contrail integrates with Kubernetes to provide advanced networking and security features, relying on the kube controller to maintain the desired state of ReplicaSets.
Reference:
Kubernetes Documentation: ReplicaSet Controller
Juniper JNCIA-Cloud Study Guide: Kubernetes Control Plane


NEW QUESTION # 34
Which operating system must be used for control plane machines in Red Hat OpenShift?

  • A. Red Hat Enterprise Linux
  • B. Red Hat CoreOS
  • C. Centos
  • D. Ubuntu

Answer: B

Explanation:
Red Hat OpenShift requires specific operating systems for its control plane machines to ensure stability, security, and compatibility. Let's analyze each option:
A . Ubuntu
Incorrect:
While Ubuntu is a popular Linux distribution, it is not the recommended operating system for OpenShift control plane machines. OpenShift relies on Red Hat-specific operating systems for its infrastructure.
B . Red Hat Enterprise Linux
Incorrect:
Red Hat Enterprise Linux (RHEL) is commonly used for worker nodes in OpenShift clusters. However, control plane machines require a more specialized operating system optimized for Kubernetes workloads.
C . Red Hat CoreOS
Correct:
Red Hat CoreOS is the default operating system for OpenShift control plane machines. It is a lightweight, immutable operating system specifically designed for running containerized workloads in Kubernetes environments. CoreOS ensures consistency, security, and automatic updates.
D . CentOS
Incorrect:
CentOS is a community-supported Linux distribution based on RHEL. While it can be used in some Kubernetes environments, it is not supported for OpenShift control plane machines.
Why Red Hat CoreOS?
Immutable Infrastructure: CoreOS is designed to be immutable, meaning updates are applied automatically and consistently across the cluster.
Optimized for Kubernetes: CoreOS is tailored for Kubernetes workloads, providing a secure and reliable foundation for OpenShift control plane components.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers OpenShift architecture, including the operating systems used for control plane and worker nodes. Understanding the role of Red Hat CoreOS is essential for deploying and managing OpenShift clusters effectively.
For example, Juniper Contrail integrates with OpenShift to provide advanced networking features, relying on CoreOS for secure and efficient operation of control plane components.
Reference:
OpenShift Documentation: Red Hat CoreOS
Juniper JNCIA-Cloud Study Guide: OpenShift Architecture


NEW QUESTION # 35
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