iMaster NCE-Campus has a built-in terminal fingerprint database for identifying terminals.

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).