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Juniper Cloud, Associate (JNCIA-Cloud) Sample Questions (Q35-Q40):
NEW QUESTION # 35
You want to view pods with their IP addresses in OpenShift.
Which command would you use to accomplish this task?
- A. oc get all
- B. oc get pods -o wide
- C. oc get pods -o yaml
- D. oc get pods
Answer: B
Explanation:
To view pods with their IP addresses in OpenShift, you would use the command oc get pods -o wide. This command provides additional information such as the IP address and the node where the pod is located.
NEW QUESTION # 36
Which component is directly responsible for running containers in a Kubernetes node?
- A. kube controller
- B. kubelet
- C. container runtime
- D. kube-proxy
Answer: C
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 # 37
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. network namespaces
- B. virtual routing and forwarding instances
- C. control groups
- D. slicing
Answer: C
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 # 38
You are provisioning workloads on worker nodes in a Kubernetes cluster.
Which CN2 component is responsible for generating associated routes?
- A. vRouter forwarding plane
- B. Contrail kube-manager
- C. vRouter agent microservice
- D. Configuration Resource (CR) controllers
Answer: C
Explanation:
The vRouter agent microservice is the CN2 component responsible for generating associated routes. When a pod is scheduled on a node, the vRouter agent on that node programs the necessary routes in the kernel routing table to ensure that traffic destined for that pod is properly routed.
NEW QUESTION # 39
Which two statements are correct about Network Functions Virtualization (NFV)? (Choose two.)
- A. the NFV framework explains how VNFs fits into the whole solution.
- B. The NFV Infrastructure (NFVI) is a component of NFV.
- C. The NFV framework is defined by the W3C.
- D. The NFV Infrastructure (NFVI) is not a component of NFV.
Answer: A,B
Explanation:
Network Functions Virtualization (NFV) is a framework designed to virtualize network services traditionally run on proprietary hardware. It decouples network functions from dedicated hardware appliances and implements them as software running on standard servers or virtual machines. Let's analyze each statement:
A . The NFV framework explains how VNFs fit into the whole solution.
Correct: The NFV framework provides a structured approach to deploying and managing Virtualized Network Functions (VNFs). It defines how VNFs interact with other components, such as the NFV Infrastructure (NFVI), Management and Orchestration (MANO), and the underlying hardware.
B . The NFV Infrastructure (NFVI) is a component of NFV.
Correct: The NFV Infrastructure (NFVI) is a critical part of the NFV architecture. It includes the physical and virtual resources (e.g., compute, storage, networking) that host and support VNFs. NFVI acts as the foundation for deploying and running virtualized network functions.
C . The NFV Infrastructure (NFVI) is not a component of NFV.
Incorrect: This statement contradicts the NFV architecture. NFVI is indeed a core component of NFV, providing the necessary infrastructure for VNFs.
D . The NFV framework is defined by the W3C.
Incorrect: The NFV framework is defined by the European Telecommunications Standards Institute (ETSI), not the W3C. ETSI's NFV Industry Specification Group (ISG) established the standards and architecture for NFV.
Why These Answers?
Framework The NFV framework provides a comprehensive view of how VNFs integrate into the overall solution, ensuring scalability and flexibility.
NFVI Role: NFVI is essential for hosting and supporting VNFs, making it a fundamental part of the NFV architecture.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers NFV as part of its cloud infrastructure curriculum. Understanding the NFV framework and its components is crucial for deploying and managing virtualized network functions in cloud environments.
For example, Juniper Contrail integrates with NFV frameworks to deploy and manage VNFs, enabling service providers to deliver network services efficiently and cost-effectively.
Reference:
ETSI NFV Framework Documentation
Juniper JNCIA-Cloud Study Guide: Network Functions Virtualization
NEW QUESTION # 40
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