If you cannot complete the task efficiently, we really recommend using H19-404_V1.0 learning materials. Through the assessment of your specific situation, we will provide you with a reasonable schedule, and provide the extensible version of H19-404_V1.0 exam training guide you can quickly grasp more knowledge in a shorter time. In the same time, you will do more than the people around you. This is what you can do with H19-404_V1.0 Test Guide. Our H19-404_V1.0 learning guide is for you to improve your efficiency and complete the tasks with a higher quality.
| Section | Weight | Objectives |
|---|---|---|
| Scenario-based Campus Network Design | 25% | - Small and medium-sized campus network design - Large campus and multi-branch interconnection design - Cloud-managed and virtualized campus network design |
| Campus Network Technology Design | 25% | - VLAN, IP addressing and routing design - WLAN planning, coverage and roaming design - QoS, security and high availability design |
| Huawei Campus Network Solutions and Products | 20% | - iMaster NCE-Campus management platform - Switches, WLAN products and AR routers - Xinghe Intelligent Campus Solution overview |
| Campus Network Planning and Design Fundamentals | 15% | - Campus network architecture and evolution - Service requirements and demand analysis - Network design principles and methodologies |
| Solution Promotion and Project Implementation | 15% | - Solution value analysis and competitive differentiation - Deployment guidance and acceptance criteria |
>> Huawei H19-404_V1.0 Exam Quizzes <<
If we redouble our efforts, our dreams will change into reality. Although we might come across many difficulties during pursuing our dreams, we should never give up. If you still have dreams, our H19-404_V1.0 study materials will help you realize your dreams. Where is a will, there is a way. And our H19-404_V1.0 Exam Questions are the exact way which can help you pass the exam and get the certification with ease. Just have a try on our H19-404_V1.0 practice guide, then you will know you can succeed.
NEW QUESTION # 52
An AP cannot work independently. Instead, it must be configured by a WAC or iMaster NCE-Campus.
Answer: B
Explanation:
The statement is false because "AP" is a generic term covering several operating architectures. A Fit AP requires a WAC, and a cloud-managed AP is centrally managed through iMaster NCE-Campus. However, a Fat AP is autonomous: it can operate and be configured independently without a centralized controller.
Huawei also describes the leader AP architecture, in which a capable AP integrates part of the WAC functionality, operates independently, and manages a limited number of Fit APs.
Therefore, the absolute claim that an AP cannot work independently is technically incorrect. The correct interpretation depends on the AP mode. Fit APs depend on a WAC or leader AP for centralized configuration and CAPWAP-based management, whereas Fat APs provide local control and forwarding. Huawei explicitly states that the Fat AP architecture is autonomous and requires no additional centralized control device.
Because at least one recognized AP architecture operates independently, the correct answer is False.
NEW QUESTION # 53
What are the objectives of the next-generation advanced industrial network with an open architecture?
Answer: A,B,C,D
Explanation:
All four options represent objectives of a next-generation advanced industrial network. IP-based connections establish a standardized communications foundation, allowing production systems, controllers, sensors, machines, and management platforms to communicate through scalable Ethernet and IP technologies instead of isolated proprietary field networks.
Networked devices extend connectivity across operational technology assets so that equipment status, production data, and control information can be shared across production lines, plants, data centers, and cloud platforms. Network intelligence introduces automated provisioning, telemetry, analytics, fault prediction, policy optimization, and closed-loop operations. These capabilities reduce manual configuration and improve production availability.
Network-security integration is equally essential because greater openness and interconnection increase the potential attack surface. Security must therefore be integrated into access control, segmentation, device identification, encrypted communication, anomaly detection, and policy enforcement rather than added as an isolated external system. Huawei's broader CloudCampus architecture similarly emphasizes automated provisioning, intelligent O & M, secure interconnection, integrated wired and wireless management, and open network capabilities. The four objectives collectively create an open, connected, intelligent, and secure industrial communications architecture.
NEW QUESTION # 54
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 # 55
Which of the following statements is true about MACsec?
Answer: B
Explanation:
Hardware-based encryption is the unambiguously correct statement. MACsec protects Ethernet frames at Layer 2 using AES-GCM-based authenticated encryption. On enterprise switches and routers, the encryption and integrity operations are commonly implemented in forwarding ASICs or dedicated hardware so that frames can be protected at high throughput with low latency.
Option A is incorrect because complex manual configuration is not an inherent requirement. MACsec can use manually configured connectivity-association keys, but IEEE 802.1X MACsec Key Agreement can automate peer authentication, secure-channel establishment, key distribution, and rekeying. The operational complexity therefore depends on the deployment model and management platform.
Option C is also inaccurate. MACsec is media-independent, meaning it can operate over supported copper or fiber Ethernet; however, it does not eliminate the requirement for appropriate Layer 2 connectivity between participating MACsec entities. Standard hop-by-hop MACsec protects Ethernet links or LAN connectivity between peers and is not a general Layer 3 tunneling mechanism.
MACsec supplies Layer 2 confidentiality, integrity, origin authentication, and replay protection. Its encryption can be performed directly in network-device hardware, enabling substantially better forwarding performance than software-only encryption implementations.
NEW QUESTION # 56
The CNN-based application identification technology can identify both known and unknown applications.
Answer: B
Explanation:
The statement is true in the context of Huawei's AI-assisted application-identification architecture.
Conventional identification depends mainly on predefined signatures, fixed destination addresses, port numbers, protocol fields, DNS correlation, or deep packet inspection. Huawei's standard SD-WAN process uses Service Awareness and First-Packet Identification signature databases to identify and group application traffic. These mechanisms are effective for known applications but become less reliable when traffic is encrypted, applications change versions, or previously unseen applications appear.
A CNN-based classifier learns multidimensional traffic characteristics such as packet-length sequences, timing, direction, and flow behavior. It can classify traffic matching learned application patterns and, when implemented with open-set detection, recognize flows outside known classes as unknown or zero-day applications. Commercial-grade deep-learning traffic classification research demonstrates identification of known encrypted applications together with the handling of unknown zero-day applications.
This does not mean the system automatically assigns an exact commercial name to every unseen application.
It detects that the traffic does not match established classes so that it can be investigated, labelled, and incorporated into later model updates. Therefore, the statement is True.
NEW QUESTION # 57
......
We provide 3 versions for the client to choose and free update. Different version boosts different advantage and please read the introduction of each version carefully before your purchase. The language of our H19-404_V1.0 study materials are easy to be understood and we compile the H19-404_V1.0 Exam Torrent according to the latest development situation in the theory and the practice. You only need little time to prepare for our exam. So it is worthy for you to buy our H19-404_V1.0 questions torrent.
H19-404_V1.0 Valid Exam Braindumps: https://www.testvalid.com/H19-404_V1.0-exam-collection.html