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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Solution Promotion and Project Implementation | 15% | - Solution value analysis and competitive differentiation - Deployment guidance and acceptance criteria |
| Topic 2: Campus Network Technology Design | 25% | - QoS, security and high availability design - VLAN, IP addressing and routing design - WLAN planning, coverage and roaming design |
| Topic 3: Campus Network Planning and Design Fundamentals | 15% | - Network design principles and methodologies - Campus network architecture and evolution - Service requirements and demand analysis |
| Topic 4: Scenario-based Campus Network Design | 25% | - Large campus and multi-branch interconnection design - Cloud-managed and virtualized campus network design - Small and medium-sized campus network design |
| Topic 5: Huawei Campus Network Solutions and Products | 20% | - iMaster NCE-Campus management platform - Switches, WLAN products and AR routers - Xinghe Intelligent Campus Solution overview |
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NEW QUESTION # 39
Which of the following statements is false about the energy-saving function of the digital map?
Answer: D
Explanation:
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.
NEW QUESTION # 40
On a large campus network, inter-WAC roaming should be avoided as much as possible to ensure the roaming experience.
Answer: A
Explanation:
The statement is true as a WLAN design recommendation. Inter-WAC roaming is supported, but it introduces more control-plane interaction and forwarding complexity than intra-WAC roaming. The Home WAC and Foreign WAC must belong to the same mobility group, synchronize station and AP information, and establish an inter-WAC CAPWAP tunnel for control information and, in some scenarios, service forwarding.
Additional synchronization, tunnel processing, route handling, and failure dependencies can increase roaming delay and complicate troubleshooting. This is especially relevant for delay-sensitive applications such as voice, video, automated guided vehicles, and real-time production systems. A better design places APs between which users frequently move under the same WAC wherever controller capacity and physical topology permit.
Avoiding inter-WAC roaming does not mean disabling the function entirely. Large campuses may require multiple WACs for scale, redundancy, or geographic distribution. Mobility groups should still be configured for unavoidable cross-controller movement. However, buildings, floors, and continuous roaming areas should be assigned carefully so that normal roaming remains intra-WAC. Therefore, the recommendation in the statement is correct, and the answer is True.
NEW QUESTION # 41
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 # 42
Which of the following statements is true about MACsec?
Answer: C
NEW QUESTION # 43
Intelligent policy recommendation can achieve network-level load balancing.
Answer: A
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 # 44
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