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| Section | Objectives |
|---|---|
| Network Security Design | - Campus security architecture considerations - Access control strategies |
| Presales Solution Design | - Solution proposal and design methodology - Customer requirement analysis |
| Campus Network Fundamentals | - Typical campus network deployment models - Enterprise campus network architecture principles |
| WLAN Planning and Design | - Capacity and performance design considerations - Wireless coverage planning |
| Huawei Campus Network Solutions | - CloudCampus solution architecture - iMaster NCE-Campus management platform |
| Switching and Routing in Campus Networks | - VLAN and segmentation design - Layer 2 and Layer 3 design principles |
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NEW QUESTION # 10
In the energy-saving solution based on AI traffic prediction, IoT APs are recommended to operate in non- energy-saving mode by default.
Answer: B
Explanation:
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.
NEW QUESTION # 11
On which public cloud can the AR6700V-L running R024C10 not be deployed?
Answer: A
Explanation:
For the R024C10 software release specified in the question, the AR6700V-L cannot be deployed on Google Cloud Platform. The supported environments represented by this release and question are Amazon Web Services, Oracle Cloud, and Microsoft Azure.
Public-cloud support for a virtual CPE is release-specific. A virtual router requires more than generic virtual- machine compatibility. Huawei must provide or validate the appropriate cloud image, virtual network- interface drivers, deployment template, bootstrap mechanism, licensing integration, resource specifications, and controller-registration process for each cloud platform. Therefore, support for one KVM- or VMware- based environment does not automatically mean that every public-cloud provider is supported.
A cloud-hosted virtual CPE enables branches to establish overlay connectivity directly with cloud workloads and allows the controller to provide unified management and policy orchestration for physical and virtual edge devices. Huawei describes this model as deploying a virtual SD-WAN router on a public cloud to implement branch-to-cloud interconnection and unified policy orchestration. Under the R024C10 compatibility matrix tested by this question, GCP is excluded. Therefore, option B is correct.
NEW QUESTION # 12
Which of the following WLAN networking solutions is recommended when there are 15,000 wireless terminals on the customer network?
Answer: C
Explanation:
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.
NEW QUESTION # 13
Intelligent policy recommendation can achieve network-level load balancing.
Answer: B
Explanation:
The statement is true. Intelligent policy recommendation does not consider only the traffic load of an individual interface or device. iMaster NCE-Campus obtains network topology, application, link-quality, bandwidth-utilization, and traffic-distribution information from multiple devices. It can then recommend or orchestrate policies that distribute traffic across the network's available paths and resources.
For example, when multiple WAN links have the same priority and satisfy an application's SLA requirements, per-flow load balancing can distribute different application flows among those links.
Bandwidth-proportional balancing can also account for differences in link capacity, preventing a lower- bandwidth link from being overloaded. Huawei explains that load-balancing-based traffic steering can fully utilize multiple links and distribute flows across links meeting the required SLA.
Because iMaster NCE-Campus centrally manages CPEs and uniformly orchestrates service intent across the overlay network, recommendations can be evaluated from a network-wide perspective instead of through isolated local decisions. Therefore, intelligent policy recommendation can implement network-level load balancing.
NEW QUESTION # 14
Which of the following protocol data packets can be encapsulated in a VPN using GRE?
Answer: A,B,C,D
Explanation:
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.
NEW QUESTION # 15
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