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NEW QUESTION # 54
Which two statements about Kubernetes are correct? (Choose two.)
Answer: C,D
Explanation:
Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. Let's analyze each statement:
A . Kubernetes is compatible with the container open container runtime.
Correct: Kubernetes supports the Open Container Initiative (OCI) runtime standards, which ensure compatibility with various container runtimes like containerd, cri-o, and others. This flexibility allows Kubernetes to work with different container engines beyond just Docker.
B . Kubernetes requires the Docker daemon to run Docker containers.
Incorrect: While Kubernetes historically used Docker as its default container runtime, it no longer depends on the Docker daemon. Instead, Kubernetes uses the Container Runtime Interface (CRI) to interact with container runtimes like containerd or cri-o. Docker's runtime has been replaced by containerd in most modern Kubernetes deployments.
C . A container is the smallest unit of computing that you can manage with Kubernetes.
Correct: In Kubernetes, a container represents the smallest deployable unit of computing. Containers encapsulate application code, dependencies, and configurations. Kubernetes manages containers through higher-level abstractions like Pods, which are groups of one or more containers.
D . A Kubernetes cluster must contain at least one control plane node.
Incorrect: While a Kubernetes cluster typically requires at least one control plane node to manage the cluster, this statement is incomplete. A functional Kubernetes cluster also requires at least one worker node to run application workloads. Both control plane and worker nodes are essential for a fully operational cluster.
Why These Answers?
Compatibility with OCI Runtimes: Kubernetes' support for OCI-compliant runtimes ensures flexibility and avoids vendor lock-in.
Containers as Smallest Unit: Understanding that containers are the fundamental building blocks of Kubernetes is crucial for designing and managing applications in a Kubernetes environment.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers Kubernetes as part of its container orchestration curriculum. Understanding Kubernetes architecture, compatibility, and core concepts is essential for deploying and managing containerized applications in cloud environments.
For example, Juniper Contrail integrates with Kubernetes to provide advanced networking and security features for containerized workloads. Proficiency with Kubernetes ensures seamless operation of cloud-native applications.
Reference:
Kubernetes Documentation: Container Runtimes
Juniper JNCIA-Cloud Study Guide: Kubernetes
NEW QUESTION # 55
Which statement is correct about a vRouter?
Answer: A
Explanation:
A vRouter uses virtual routing and forwarding (VRF) instances to create individual routing tables for each tenant. A VRF is a logical partition of a router's routing table that allows multiple instances of routing information to coexist on the same router. A vRouter can provide connections to multiple tenants' VMs by using different VRFs for each tenant.
NEW QUESTION # 56
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?
Answer: A
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 # 57
Which two statements are true about VRF instances? (Choose two.)
Answer: B,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 # 58
Which component is directly responsible for running containers in a Kubernetes node?
Answer: D
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 # 59
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