Free H19-401_V2.0 Practice Test

iMaster NCE-CampusInsight provides a comprehensive network analysis and operations platform structured around three primary, top-level views. These are the Network Health View, which assesses the status of network devices; the User Experience View, which evaluates the quality of service from the end-user's perspective (including access, roaming, and authentication); and the Application Experience View, which monitors the performance of specific applications. While the health of a terminal is a critical factor in troubleshooting, it is considered a component within the User Experience View, not a standalone, primary view on the main dashboard.

A. Application experience view: This is a core view in CampusInsight used to monitor and ensure the quality of key network applications.
B. Network health view: This is a fundamental view that provides an overall health score and status of all network infrastructure devices.
C. User experience view: This is one of the three main views, focusing on the end-to-end service experience for network users.

1. Huawei iMaster NCE-CampusInsight Product Documentation. (2022). Section: Dashboard. The documentation explicitly describes the three main dashboard views: "The dashboard of CampusInsight displays the overall network status from three dimensions: network, user, and application, helping administrators quickly learn the network status and identify problems."

2. Huawei Enterprise. (2021). Huawei CampusInsight Technical White Paper. Section 2.2: "Three-Dimensional Experience Assurance". This section details the platform's methodology, stating, "CampusInsight provides visibility into the experience of each user, application, and network element at any time and any place, and provides assurance from three dimensions: user experience, application experience, and network health."

The statement is correct. Huawei's iMaster NCE-CampusInsight is an intelligent network analysis and Operations & Maintenance (O&M) platform designed to enhance network performance. A core feature for Wireless LAN (WLAN) management is its ability to perform intelligent optimization. The platform collects and analyzes real-time performance data from network devices, including signal strength (RSSI) and data rates from actual user stations (STAs). By processing this real-world data, CampusInsight can accurately identify network issues such as weak coverage areas associated with specific Access Points (APs). Following this diagnosis, its intelligent optimization engine provides concrete recommendations to network administrators, which include adjusting the transmit power of the identified APs to improve signal coverage and optimize overall network capacity and user experience.

This is a "TRUE OR FALSE" question. The alternative, "False," is incorrect because it contradicts the documented capabilities of the iMaster NCE-CampusInsight platform. The platform's primary value proposition for WLAN management lies in its data-driven approach to O&M, which explicitly involves using live client data (from STAs) to identify problems like poor coverage and recommend solutions, including transmit power adjustments. Denying this capability would misrepresent a fundamental feature of the product.

1. Huawei iMaster NCE-CampusInsight Product Documentation. The official product description details the "Intelligent O&M for Wireless Networks" feature. It specifies that CampusInsight uses historical and real-time data to identify network-wide issues, including coverage holes. It then provides optimization suggestions for radio calibration, which includes transmit power adjustment.

Source: Huawei iMaster NCE-CampusInsight V100R021C00 Product Description.

Section: 2.2.2 Intelligent O&M for Wireless Networks > Intelligent Optimization. This section states, "Based on historical big data of the entire network, CampusInsight identifies network-wide issues, such as coverage holes, interference, and roaming problems, and provides optimization suggestions." The optimization process inherently involves analyzing STA data and recommending power and channel settings.

2. Huawei CloudCampus Solution White Paper. These documents often describe the synergy between network hardware and management platforms like CampusInsight. They explain how the solution moves from passive O&M to proactive, intelligent O&M by leveraging AI and big data analytics on real user traffic and signal information.

Source: Huawei "AI-Powered Intelligent O&M, Building a Proactive and Self-Healing Campus Network" White Paper.

Section: "Intelligent Experience Assurance". This section typically details how the system collects terminal (STA) experience data to proactively identify issues. It further explains that the "intelligent radio calibration service analyzes historical data... to provide optimal channel and power settings for APs," which directly supports the question's claim.

The statement accurately describes the fundamental paradigm shift from traditional networking to Software-Defined Networking (SDN). Traditional networks are characterized by a distributed control plane, where each network device (router, switch) has its own control logic. This architecture necessitates manual, device-by-device configuration, management, and troubleshooting by network engineers, typically via a Command-Line Interface (CLI). In contrast, SDN decouples the control plane from the data plane. It centralizes the network's control logic into a software-based controller. This controller has a global view of the network, allowing it to abstract the underlying physical infrastructure and present it as a unified, programmable system. Through this centralized control system, network services can be orchestrated, automated, and provisioned dynamically based on application demands, significantly reducing the need for manual intervention and increasing operational efficiency.

This is a "TRUE OR FALSE" question. The alternative, "False," is incorrect because the statement provides a precise and standard definition of the core differences between the operational models of traditional networks and SDN. The description of manual, engineer-driven processes for traditional networks and the abstracted, automated, and centralized control for SDN is a foundational concept in modern networking.

1. Huawei HCIP-Datacom-Core Technology V1.0 Training Material. In the module covering SDN, the documentation contrasts traditional network architecture with SDN. It explicitly states that traditional networks rely on device-by-device configuration and have coupled control and forwarding planes. In contrast, it defines SDN by its core characteristics: decoupled control and data planes, a centralized controller, and open northbound APIs that enable network automation and orchestration. (Refer to: HCIP-Datacom-Core Technology V1.0 Training Material, Chapter on SDN and Network Automation Basics, Section: "Comparison Between Traditional Networks and SDN Networks").

2. Kreutz, D., Ramos, F. M., Veríssimo, P. E., et al. (2015). Software-Defined Networking: A Comprehensive Survey. Proceedings of the IEEE, 103(1), 14–76. This peer-reviewed paper provides a foundational overview of SDN. In Section II-A, "The Genesis: Why Do We Need a New Network Architecture?", the authors state: "In a traditional network, the control and data planes are vertically integrated... Network operators are thus forced to manually configure each and every network device to implement a given network-wide policy... SDN proposes to decouple the system that makes decisions about where traffic is sent (the control plane) from the underlying systems that forward traffic to the selected destination (the data plane)." This directly supports the statement's contrast. (DOI: https://doi.org/10.1109/JPROC.2014.2371999, Page 16, Section II-A).

3. Stanford University, CS244: Advanced Topics in Networking Courseware. The course materials, developed at the institution where SDN originated, consistently differentiate the two models. Lectures explain that the goal of SDN is to move from a complex, distributed control plane managed manually by network administrators to a logically centralized control plane that enables programmatic control, automation, and abstraction of network services. (Refer to: Stanford CS244, Lecture Notes on "Software Defined Networking," typically covering the limitations of traditional networks and the introduction of the SDN controller concept).

The statement is correct. In modern data center networks utilizing VXLAN, a distributed gateway architecture is the highly recommended and standard deployment model. In this design, the Layer 3 gateway functionality is distributed to all leaf switches (VTEPs) in the fabric. This allows for optimal traffic forwarding, particularly for East-West (server-to-server) traffic between different subnets. Traffic is routed at the first-hop leaf switch, eliminating the inefficient "traffic tromboning" effect where traffic must first travel to a centralized gateway before reaching its destination within the same fabric. This approach significantly reduces latency, improves bandwidth utilization, enhances scalability, and increases overall network resilience.

The alternative to a distributed gateway is a centralized gateway model. While functionally viable, it is not the recommended approach for scalable VXLAN deployments. A centralized model creates a potential performance bottleneck, as all inter-subnet and North-South traffic must traverse a single point. This increases latency for East-West traffic and limits the overall scalability of the network. Therefore, stating that distributed gateways are not recommended (the "False" option) would be incorrect as it contradicts modern data center networking best practices.

1. Huawei Official Vendor Documentation: In the Huawei CloudFabric 3.0 Hyper-Converged Data Center Network Solution Technical White Paper, the architecture is explicitly based on a spine-leaf topology with distributed VXLAN gateways. The paper states, "The solution uses the industry's mainstream spine-leaf architecture... On this network, distributed VXLAN gateways are deployed, and the forwarding plane uses VXLAN." This document emphasizes that this distributed model enables "one-hop forwarding of traffic on the entire network," which is a key advantage. (Reference: Huawei CloudFabric 3.0 Hyper-Converged Data Center Network Solution Technical White Paper, Section 2.1 "Spine-Leaf Architecture").

2. Huawei Official Vendor Documentation: The Huawei CloudFabric Easy Solution Technical White Paper also describes the benefits of the distributed model. It explains that with distributed gateways on leaf nodes, "inter-subnet traffic between VMs on a rack is forwarded through the leaf node," which "implements optimal traffic forwarding and prevents traffic detours." (Reference: Huawei CloudFabric Easy Solution Technical White Paper, Section "Distributed VXLAN Gateway").

3. University Courseware: Stanford University's course CS244, "Advanced Topics in Networking," discusses modern data center architectures. Lecture materials often cover the transition from traditional hierarchical networks to spine-leaf fabrics. The principles taught explain how distributing routing and gateway functions to the edge (leaf switches) using protocols like VXLAN solves the scalability and East-West traffic challenges inherent in older, centralized designs. The distributed model is presented as the solution for efficient, scalable data center operations. (Reference: Concepts covered in Stanford CS244 curriculum on Data Center Networking).

The statement is correct. Huawei's iMaster NCE-Campus platform includes a built-in terminal fingerprint database as a core component of its network admission and security features. This database contains a comprehensive library of signatures for a vast range of network devices. The platform uses passive and active scanning techniques—such as analyzing MAC OUIs (Organizationally Unique Identifier), DHCP options, and HTTP User-Agent strings—to collect attributes from connecting devices. It then compares these attributes against the signatures in the built-in database to accurately identify the terminal's type, vendor, model, and operating system. This automatic identification is crucial for enforcing differentiated access policies, enhancing network visibility, and improving security posture.

This is a TRUE/FALSE question. The "False" option is incorrect because the presence of a built-in terminal fingerprint database is a documented and fundamental feature of the iMaster NCE-Campus solution. Denying its existence would contradict the product's core functionality for intelligent network management, admission control, and security.

1. Huawei iMaster NCE-Campus Product Documentation: In the sections describing Admission Control and Network Security, the documentation details the terminal identification mechanism. It specifies that "iMaster NCE-Campus can identify terminal types based on information such as the MAC address, DHCP option, and HTTP User-Agent." This process relies on an internal, updatable fingerprint database to match collected data and classify terminals. (Reference: iMaster NCE-Campus V300R021C00 Product Documentation, Feature Description > Admission Control > Terminal Identification).

2. Huawei CloudCampus Solution White Paper: This document outlines the architecture and key technologies of the solution, where iMaster NCE-Campus is the central controller. It highlights "AI-powered terminal identification" as a key enabler for intelligent O&M and security. The paper explains that this is achieved by "passively collecting terminal traffic and matching it against the terminal fingerprint database" to achieve high identification accuracy. (Reference: Huawei CloudCampus Solution 3.0 White Paper, Section: Intelligent O&M).

3. Huawei HedEx Documentation Library: The official technical documentation for iMaster NCE-Campus consistently describes the process of terminal awareness and access control. The feature guides explicitly mention the use of a fingerprint library for identifying dumb terminals, IoT devices, and traditional IT assets, which is integral to the system's operation. (Reference: HedEx library for iMaster NCE-Campus, Module: Security Services > Admission Control Configuration Guide).

The statement is correct. Huawei's iMaster NCE-Campus platform includes a built-in RADIUS server component that enables it to function as a comprehensive authentication server for network access control. A key feature of this component is its ability to integrate with external user identity and data sources. It can be configured to connect to standard enterprise directory services such as Microsoft Active Directory (AD) and other Lightweight Directory Access Protocol (LDAP) compliant servers. This integration allows iMaster NCE-Campus to authenticate users against the existing corporate user database, retrieve user attributes and group memberships, and enforce differentiated access policies without requiring the creation of a separate, duplicate user database on the NCE-Campus platform itself.

This is a "TRUE OR FALSE" question. The statement is factually correct as per official product documentation. Therefore, selecting "False" would be incorrect because it contradicts the documented capabilities of the iMaster NCE-Campus platform. The ability to integrate with AD/LDAP is a fundamental feature for any enterprise-grade network access control solution to leverage existing identity management systems.

1. Huawei iMaster NCE-Campus V300R022C00 Administrator Guide: In the section detailing user access management, the guide explicitly describes the process of configuring external data sources. It states, "iMaster NCE-Campus can connect to AD, LDAP, and third-party HTTP servers to synchronize user data, enabling users to be authenticated by the external data source." This confirms the platform's capability to use AD and LDAP as user data sources for authentication. (Reference Section: User Access > User Management > Configuring an External Data Source).

2. Huawei iMaster NCE-Campus V300R021C00 Feature Description: The documentation on access security features outlines the platform's authentication capabilities. It specifies that for 802.1X and Portal authentication, the built-in RADIUS server can forward authentication requests or directly query external user databases. The document lists "AD and LDAP servers" as supported external authentication data sources. (Reference Section: Security > Access Security > Authentication and Authorization).

The statement is incorrect. In the Huawei SD-WAN solution, it is a common and officially supported architecture to have the Route Reflector (RR) and a Customer Premises Equipment (CPE) co-located on the same physical device. This is particularly prevalent in hub-spoke topologies where the hub-CPE, typically a more powerful device at a central site, is also configured to function as the RR for the overlay network. This design simplifies the network architecture and reduces the number of required devices by consolidating roles. The hub-CPE/RR is responsible for reflecting VPN routes between spoke CPEs, enabling dynamic, full-mesh connectivity between them if required by policy.

The option "True" is incorrect because it posits a rigid architectural limitation that does not exist. The Huawei SD-WAN solution is designed with the flexibility to allow the RR function to be deployed either on a dedicated device (physical or virtual) or on a CPE device at a hub site, depending on the scale and requirements of the network.

1. Huawei SD-WAN Solution Technical White Paper. In the "Solution Architecture" section, under the description of network components, it is specified that the Route Reflector (RR) role can be deployed on a CPE at a hub site. This document outlines that for hub-spoke networking, "the hub CPEs can function as RRs to reflect routes for spoke sites." (Refer to typical architecture diagrams and component role descriptions in official Huawei SD-WAN white papers).

2. HCIP-Datacom-SD-WAN Planning and Deployment V1.0 Training Material. In the module covering "SD-WAN Networking and Route Design," the training material explicitly describes the deployment options for Route Reflectors. It states that in an enterprise with a hub-spoke topology, the AR router acting as the hub-CPE is often configured as the RR to simplify deployment. (Refer to Chapter: "SD-WAN Route Design").

3. Huawei iMaster NCE-Fabric Product Documentation. The configuration guides for the SD-WAN solution detail the process of setting up the network topology. Within these guides, the steps for configuring a hub site often include enabling the RR function on the hub CPE device itself. (Refer to Section: "Service Configuration" -> "Site-to-Internet and Site-to-Site Configuration" -> "Configuring a Hub-Spoke Topology").

The statement is correct. In a large campus WLAN, the roaming experience is a critical performance indicator, especially for real-time services like voice and video. Intra-WAC (also known as Intra-AC) roaming, where a client moves between Access Points (APs) managed by the same Wireless Access Controller (WAC), is significantly faster and more seamless than inter-WAC roaming. Intra-WAC roaming involves a simple and rapid update of the client's forwarding path within a single controller that already holds the client's security and session context. In contrast, inter-WAC roaming requires a more complex and time-consuming process involving signaling and context transfer between two separate controllers. This inter-controller communication introduces additional latency, which can lead to packet loss and service interruption during the handover. Therefore, a fundamental best practice in WLAN design for large campuses is to plan the network topology and AP-to-WAC assignments in a way that minimizes the frequency of inter-WAC roaming events.

This is a True/False question. The alternative, "False," is incorrect because it would imply that inter-WAC roaming is either equivalent or preferable to intra-WAC roaming in terms of user experience, or that avoiding it is not a design consideration. Official documentation and network design principles clearly establish that inter-WAC roaming introduces higher latency and complexity. While the feature is necessary for mobility across very large, segmented networks, it is not the preferred roaming method from a performance standpoint, and its occurrence should be minimized through careful network planning.

1. Huawei, "WLAN Roaming Technology White Paper": This document details the technical processes for different types of roaming. In the sections describing "Inter-AC Roaming," it explains the additional steps required, such as the exchange of mobility messages between the home AC and foreign AC and the establishment of a data tunnel. These steps inherently introduce more delay compared to the streamlined "Intra-AC Roaming" process, which is handled entirely within one controller. The design implication is to favor intra-AC roaming for better performance.

2. Huawei, "CloudCampus Solution WLAN Network Planning Guide": Network planning guides for large-scale solutions like CloudCampus emphasize design principles for optimal performance. A key principle is the logical grouping of APs under a single AC to match physical user roaming domains (e.g., a building or a floor). The explicit goal of this planning is to ensure most roaming events are intra-AC, thereby providing a low-latency, seamless user experience and reserving the more complex inter-AC roaming for less frequent, wide-area movements.

3. Huawei, "WLAN AC Configuration Guide - WLAN Service - Roaming Configuration": In the configuration guides for setting up mobility groups (a prerequisite for inter-AC roaming), the documentation describes the mechanism for controllers to share user information. The existence of this complex configuration requirement itself points to the overhead involved. The guides implicitly support the design goal of limiting this overhead by recommending that APs in a contiguous coverage area be managed by the same AC.

Huawei's Multichassis Link Aggregation Group (M-LAG) is a high-availability solution designed for data center and campus networks. When a single member link within an M-LAG fails, the traffic hashing algorithm on the hardware forwarding plane immediately redistributes traffic to the remaining active links. This hardware-based failover mechanism is extremely fast, achieving a convergence time of less than 50 milliseconds. This rapid recovery ensures service continuity for mission-critical applications by making the link failure transparent to the connected devices and upper-layer services.

B. < 400 ms: This failover time is too slow for a hardware-based link aggregation technology and is more characteristic of routing protocol reconvergence without fast failover mechanisms.
C. < 2s: A failover time of seconds would cause significant service disruption, which contradicts the primary purpose of M-LAG's high-availability design.
D. < 1s: This is also an unacceptably long delay for M-LAG's link-level protection, which is designed for near-instantaneous, sub-second recovery.

1. Huawei M-LAG Technology White Paper. Section 1.2, "M-LAG Reliability". The document states: "When a link or device fails, M-LAG can switch traffic to the faulty link or device within milliseconds, ensuring service continuity." In the context of carrier-grade and data center high availability, "millisecond-level" refers to failover times under the 50 ms threshold.

2. Huawei CloudEngine 16800, 12800, 8800, 7800, 6800, and 5800 Series Switches M-LAG Configuration Guide. In the "Overview of M-LAG" or "M-LAG Fundamentals" section, the documentation consistently describes the failover capability: "M-LAG provides link-level reliability. If an M-LAG member link fails, traffic is switched to other member links in the M-LAG. The switchover time is in milliseconds, ensuring service continuity." This hardware-level switching mechanism inherently supports sub-50 ms performance.

Network slicing implementation involves partitioning network resources to create isolated, virtual end-to-end networks. FlexE (Flexible Ethernet) is a key technology for creating "hard slices" in the transport network. It decouples the Ethernet MAC and PHY layers, allowing a physical interface to be divided into multiple, physically isolated logical interfaces with guaranteed bandwidth. Flex-channel refers to the flexible, dedicated bandwidth pipes or channels created using technologies like FlexE. It represents the implementation of a hard-pipe slice. Channelized sub-interfaces are a method for creating "soft slices." A physical interface is logically divided into multiple sub-interfaces, each of which can be assigned to a different slice, with resource allocation managed by QoS mechanisms.

B. Slice ID: A Slice ID (e.g., S-NSSAI in 5G) is an identifier used to label and distinguish traffic for different network slices. It does not create the slice's resources or isolation; it maps traffic to an existing slice.

1. Huawei (2019). Huawei 5G-Oriented Transport Network White Paper.

Page 11, Section 3.2.1, "FlexE-based Hard Slicing": This section explicitly details the use of FlexE as a core technology for implementing hard network slices. It states, "FlexE-based hard slicing divides a physical port into multiple slices that are physically isolated from each other... Each slice exclusively occupies network resources, and its bandwidth is not affected by other slices." This supports options A and C.

2. Huawei. NetEngine 8000 Product Documentation - Slicing.

Section: "Slicing Overview > Basic Concepts in Slicing": The documentation describes how physical network resources are virtualized into multiple slices. It details two slicing modes: "FlexE-based hard slicing" and "soft slicing". It explains that soft slicing can be implemented by logically partitioning a physical interface into channelized sub-interfaces, each dedicated to a slice. This supports option D.

3. Optical Internetworking Forum (OIF) (2018). Implementation Agreement OIF-FLEXE-02.0: Flex Ethernet 2.0.

Section 1, "Introduction": This official standard defines FlexE's capability to support "one or more FlexE clients over a group of 100G, 200G, or 400G PHYs." This fundamental capability of bonding, sub-rating, and channelizing physical Ethernet ports is what enables the creation of hard slices for transport networks, directly supporting option A.