Practice Free H19-404_V1.0 HCSE-Presales-Campus Network Planning and Design V1.0 Exam Questions Answers With Explanation

The AR5710-S8T1XWE-NRGL supports all four listed 5G-Advanced capabilities. Support for 3GPP Release 16 enables enhanced 5G New Radio functions and provides the standards foundation for improved mobile-WAN capacity, reliability, and service performance.

Carrier aggregation combines multiple component carriers to increase available throughput. Downlink 3CC allows three component carriers to be aggregated for received traffic, while uplink 2CC combines two carriers for transmitted traffic. This is valuable for high-bandwidth branch access, video backhaul, and mobile private-network scenarios.

Support for eight APNs permits multiple logically separated mobile services or provider profiles to be configured. Different APNs can represent enterprise services, management traffic, production systems, backup connectivity, or isolated customer networks. Global-frequency-band support improves deployment flexibility across countries and carrier networks, subject to local spectrum regulation and the supported modem variant.

Huawei SD-WAN can use 5G as a primary, secondary, or bypass link and supports combinations such as dual 5G and 5G plus wired connectivity for service assurance. Therefore, NR Release 16, carrier aggregation, eight APNs, and global frequency bands are all supported.

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GRE is a multiprotocol encapsulation mechanism and can carry all the listed packet types. It inserts a GRE header around the original payload and then places the resulting GRE packet inside a delivery-protocol packet. Because the GRE header contains a Protocol Type field identifying the encapsulated payload, GRE is not restricted to ordinary IPv4 unicast traffic.

IPv6 packets can be transported as GRE payloads when supported by the tunnel endpoints. IP unicast traffic is the most common use case. GRE can also carry IP multicast and broadcast packets, which is one of its major advantages over basic IPsec tunnel selectors that traditionally focus on IP unicast traffic. This enables routing protocols, multicast applications, discovery traffic, and other non-unicast services to operate across a logical point-to-point tunnel.

RFC 2784 defines GRE as a general mechanism for encapsulating an arbitrary network-layer protocol over another network-layer protocol. It also defines the Protocol Type field used to identify the carried payload. Huawei uses GRE as an SD-WAN overlay data-channel option and can additionally secure it using IPsec when confidentiality and integrity are required.

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Huawei SD-WAN provides all four technologies. Per-flow load balancing distributes separate application flows among multiple links that have the same priority and satisfy the required SLA. Per-packet load balancing can transmit packets from one flow across multiple eligible links, improving aggregate bandwidth utilization for large file transfers, backups, and replication.

Multi-fed and selective receiving duplicates critical traffic across different links. The receiving device selects valid packets, removes duplicates, and preserves packet order. Packet loss or failure on one path therefore does not interrupt the service, enabling zero-millisecond link switchover in applicable deployments.

A-FEC dynamically generates redundant packets and adjusts the redundancy ratio according to measured packet loss. The receiving device reconstructs lost packets, reducing video freezing and voice-quality deterioration. Huawei describes both adaptive FEC and multi-fed selective receiving as WAN-optimization mechanisms for key traffic.

Intelligent traffic steering selects links according to application identity, quality, bandwidth, priority, and load. Therefore, A, B, C, and D are all correct.

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After identifying a terminal, iMaster NCE-Campus can use the identification result for security monitoring, visibility, and policy automation. Spoofing detection is supported because the platform can compare a terminal’s current type and traffic behavior with its previously identified characteristics. For example, if a device originally identified as an IP phone suddenly behaves like a PC, the system can generate a spoofing alarm or apply an isolation policy.

Terminal identification also supports statistics and reporting by vendor, operating system, device category, access port, and policy status. Huawei explicitly describes terminal-type statistics, report export, and visibility of access policies.

In addition, iMaster NCE-Campus can automatically deliver VLAN, security-group, QoS, authentication, and access-permission policies according to the identified terminal type. Option B is incorrect because wired authentication is an admission process, not a service produced after terminal identification. Therefore, A, C, and D are correct.

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The AirEngine 6776I-X6TH is the model designed to provide PCIe card-based IoT expansion. The PCIe interface enables an appropriate IoT expansion card to be installed so that the AP can support additional wireless or sensing technologies according to the deployment requirement. This allows the same physical access infrastructure to deliver enterprise Wi-Fi and IoT connectivity.

The capability is useful in retail, healthcare, education, manufacturing, and asset-management environments, where technologies such as Bluetooth, RFID, Zigbee, electronic shelf labels, location services, or specialized sensing systems may need to coexist with the WLAN. A modular card design is preferable when an organization requires selectable or upgradeable IoT functions rather than only fixed integrated capabilities.

Huawei’s Wi-Fi and IoT convergence architecture reduces repeated cabling, separate power systems, and independently managed wireless networks. It enables an IoT-capable AP to provide the installation position, power, management connectivity, and uplink data channel required by IoT modules. Among the models listed, the AirEngine 6776I-X6TH is the PCIe card-based IoT model. Therefore, option A is correct.

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Authentication points should generally be placed on access devices close to the terminals. For wireless users, the AP or WLAN access device is the natural admission point because it directly controls the station’s wireless association and service access. For wired users, the access switch directly connects the endpoint and can enforce 802.1X, MAC-address authentication, VLAN authorization, ACLs, and security-group policies.

Huawei recommends access devices as authentication points for employees and specifically recommends access switches as authentication points for wired dumb terminals using MAC-address authentication. Deploying enforcement close to endpoints prevents unauthenticated or unauthorized traffic from traversing deeper into the campus network. It also improves fault isolation, policy granularity, and scalability because admission processing is distributed across access devices.

Option A is incorrect. A centralized authentication point can simplify configuration and policy management, but it does not inherently provide higher performance. It can create concentrated processing pressure, enlarge the Layer 2 scope, and allow unauthenticated traffic to travel farther before being evaluated. Therefore, the recommended principles are represented by B, C, and D.

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A network serving 15,000 wireless terminals is a large-scale WLAN and should use a standalone WAC solution. A dedicated WAC provides independent controller resources, scalable AP and user management, centralized WLAN policy control, and the ability to deploy controller redundancy without tying wireless-control capacity directly to a specific core-switch service card.

Huawei recommends a standalone WAC when the wireless network scale is large or when the wireless network is deployed independently over an existing wired campus. The WAC is typically connected to the aggregation or core layer in off-path mode, and VRRP hot standby can be used to improve reliability.

Native WAC solutions are valuable for unified wired and wireless management, authentication, forwarding, and policy enforcement. However, for a very large number of wireless terminals, the controller platform must be selected according to user, AP, traffic, and forwarding-capacity specifications. A standalone WAC allows the wireless control plane to be sized and expanded independently.

Option C provides the dedicated WAC together with the required core and aggregation or access infrastructure. Therefore, it is the recommended architecture for 15,000 wireless terminals.

The intended answer is AES-256. In certification material, this question normally refers to the enhanced WPA3-Enterprise 192-bit security suite, which uses the GCMP-256 data-protection algorithm based on AES-256, together with stronger integrity and key-management components. AES-512 is not a standardized AES variant, and RC4 is the obsolete stream cipher associated with legacy WEP and TKIP-era protection rather than WPA3.

There is an important technical qualification: WPA3 is a family of certification modes, not one universal cipher suite. WPA3-Personal commonly uses Simultaneous Authentication of Equals for password-authenticated key establishment and requires CCMP-128, which is based on AES-128. WPA3-Enterprise 192-bit mode, however, uses AES-256 in GCM mode. Therefore, the original wording is broader than it should be. A technically precise version would ask which algorithm is associated with the WPA3-Enterprise 192-bit security suite. Under the intended Huawei examination scope and the supplied single-choice options, option B is correct. That distinction is crucial when interpreting this simplified examination item.

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The statement is true. The AirEngine 8771-X1T uses dynamic-zoom smart-antenna technology that can adapt its radiation characteristics according to the deployment environment. In omnidirectional mode, the antenna pattern is optimized to provide broad and balanced coverage, making it appropriate for ordinary offices, corridors, classrooms, and other environments where users are distributed over a relatively large area.

In high-density mode, the antenna pattern is adjusted to concentrate radio energy more effectively within the intended service area. This reduces unnecessary signal leakage, limits interference between neighboring APs, and improves concurrent-user performance in lecture halls, conference rooms, auditoriums, and similar high-density environments.

The switching capability is more effective than using a permanently fixed antenna pattern because WLAN conditions can change as users move and traffic density increases or decreases. Huawei’s training material states that dynamic-zoom smart antennas dynamically switch between omnidirectional and high-density modes, improving coverage in omnidirectional mode while strengthening the user experience in high-density scenarios. Therefore, option A is correct.

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Option C is false. The digital-map energy-saving function provides network-wide energy visibility, identifies periods of low wireless demand, and recommends appropriate energy-saving time windows. During an approved energy-saving period, selected wireless APs or radio resources can be placed into an energy-saving state after the system evaluates coverage, traffic, and capacity requirements.

Automatically powering off switches is not the intended function. Campus switches may carry essential wired services, provide uplinks for other network devices, and supply PoE power to APs, cameras, phones, sensors, and access-control systems. Automatically shutting down a complete switch could therefore interrupt many unrelated services and potentially disconnect downstream network segments.

Huawei identifies low-carbon and energy-saving operation as a characteristic of cloud campus networks and combines this objective with AI-based intelligent O & M and proactive optimization. Its intelligent O & M architecture analyzes AP load trends and performs predictive wireless-network optimization, providing the analytical foundation for selecting safe energy-saving periods and resources.

Therefore, A, B, and D describe supported digital-map energy-saving capabilities. Automatic switch power-off is the false statement, making C correct.

All four options are recognized terminal identification methods. MAC OUI examines the first three bytes of a device’s MAC address to determine its manufacturer, although it generally cannot identify the exact model or operating system. DHCP option identification analyzes fields such as DHCP options 12, 55, and 60, which can reveal the hostname, parameter-request list, vendor class, and other terminal characteristics. SNMP query is an active identification method that retrieves device details from relevant MIB objects and is particularly useful for printers, network devices, and other SNMP-capable equipment.

Nmap is also an active scanning method. It analyzes open ports, service responses, protocol behavior, and operating-system fingerprints to estimate a terminal’s device type and OS. Huawei distinguishes information-reporting methods from proactive scanning methods: MAC OUI and DHCP options generally use information observed in traffic, whereas SNMP and Nmap actively query or scan the endpoint. iMaster NCE-Campus can correlate multiple fingerprints to improve identification accuracy and automatically apply terminal-specific access policies.

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A high-density 400GE service card for the CloudEngine S16700 series can provide 18 ports. The S16700 is positioned as a next-generation flagship campus core switch designed for ultra-high-capacity aggregation, large-scale Wi-Fi backhaul, data-center interconnection, and long-term bandwidth evolution.

An 18-port 400GE card provides a theoretical aggregate port rate of 7.2 Tbit/s in each direction before considering the switching fabric’s internal architecture and forwarding design. This density allows a single chassis slot to aggregate numerous high-speed distribution switches, connect multiple campus fabrics, or provide high-bandwidth links toward data centers and service platforms. It also reduces the number of cards and chassis required compared with lower-density 8-port, 12-port, or 16-port alternatives.

The question asks specifically for the number of physical 400GE interfaces offered by the card, not the entire chassis capacity or the number of ports after breakout. Under the H19-404 product-portfolio specification represented by this question, the correct density is 18 native 400GE ports. Therefore, option B is correct.

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The statement is true. AI-based energy-saving systems analyze historical traffic and usage patterns to predict periods of low network demand. Ordinary AP radios or access devices can then enter an energy-saving state when their capacity is not required, while surrounding devices maintain sufficient coverage and service availability.

IoT APs, however, may host continuously operating IoT cards, sensors, electronic shelf-label services, Bluetooth location functions, RFID services, healthcare devices, or asset-tracking terminals. Placing such an AP into an energy-saving or hibernation state could interrupt more than ordinary Wi-Fi connectivity. It could also disable an IoT module’s power supply, management channel, data backhaul, or persistent sensing function. Huawei’s Wi-Fi and IoT convergence architecture uses APs as shared locations, power sources, and communication channels for IoT services.

Huawei also applies intelligent technologies to analyze AP load trends and perform predictive network optimization. The safer default is therefore to exclude IoT APs from automatic energy-saving actions unless the administrator confirms that their attached IoT services tolerate interruption. Accordingly, the answer is True.

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