HuaweiのH19-404_V1.0準備トレントを学習する過程でPassTest、プロセス全体を通してお客様にサービスを提供し、バックオフィススタッフが24時間無料のオンラインコンサルティングを提供します。 H19-404_V1.0学習準備を購入した後、インストールと使用に問題がある場合は、リモートのオンラインガイダンスを提供する専任スタッフがいます。 また、HCSE-Presales-Campus Network Planning and Design V1.0質問の内容についてご質問がある場合は、お気軽にメールでお問い合わせください。HCSE-Presales-Campus Network Planning and Design V1.0最初にお答えできるように最善を尽くします。 すべての声について、スタッフは忍耐強く耳を傾けます。 使用中に、H19-404_V1.0テスト資料に提案を提案することもできます。フィードバックに最も注意を払います。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Scenario-based Campus Network Design | 25% | - Cloud-managed and virtualized campus network design - Small and medium-sized campus network design - Large campus and multi-branch interconnection design |
| Topic 2: Solution Promotion and Project Implementation | 15% | - Deployment guidance and acceptance criteria - Solution value analysis and competitive differentiation |
| Topic 3: Campus Network Planning and Design Fundamentals | 15% | - Service requirements and demand analysis - Campus network architecture and evolution - Network design principles and methodologies |
| Topic 4: Huawei Campus Network Solutions and Products | 20% | - Xinghe Intelligent Campus Solution overview - Switches, WLAN products and AR routers - iMaster NCE-Campus management platform |
| Topic 5: Campus Network Technology Design | 25% | - WLAN planning, coverage and roaming design - VLAN, IP addressing and routing design - QoS, security and high availability design |
早急にH19-404_V1.0認定試験に参加し、特定の分野での仕事に適格であることを証明する証明書を取得する必要があります。 H19-404_V1.0学習教材を購入すると、ほとんど問題なくテストに合格します。 H19-404_V1.0の学習教材は高い合格率とヒット率を高めるため、テストにあまり合格しなくても心配する必要はありません。購入前に無料トライアルを提供しています。 H19-404_V1.0練習エンジンのメリットと機能をさらに理解するには、製品の紹介を詳細にご覧ください。
質問 # 55
The CNN-based application identification technology can identify both known and unknown applications.
正解：B
解説：
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.
質問 # 56
In the energy-saving solution based on AI traffic prediction, IoT APs are recommended to operate in non- energy-saving mode by default.
正解：B
解説：
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.
質問 # 57
Which of the following WLAN networking solutions is recommended when there are 15,000 wireless terminals on the customer network?
正解：C
質問 # 58
Which of the following statements are true about traffic encryption on SD-WAN links?
正解：B、D
解説：
Huawei SD-WAN allows encryption to be controlled by virtual network and by specific device relationships.
When encryption is enabled for a VN, the overlay data channels carrying that VN's traffic use IPsec protection across the relevant WAN links. This provides consistent isolation and confidentiality for the department or service represented by that VN.
Encryption can also be enabled between selected devices or sites. In that case, secure data channels are established for traffic exchanged between those specified endpoints, while other device relationships can continue using GRE without IPsec according to their policies.
Application-specific encryption, as described in option C, is not the supported control granularity. Application identification can influence intelligent traffic steering, QoS, and security-policy selection, but it does not mean that only the payload of a selected application is independently encrypted inside an otherwise unencrypted SD-WAN tunnel.
A transport network is an underlay WAN such as MPLS or the Internet. Enabling encryption is an overlay tunnel policy rather than a mechanism that encrypts all traffic belonging to an entire TN. Huawei distinguishes TNs as underlay networks and GRE or IPsec VPNs as overlay data channels. Therefore, only A and B are correct.
質問 # 59
Which of the following slicing modes are supported?
正解：A、B、C、D
解説：
All four listed classification dimensions are supported slicing approaches in the relevant campus and SD- WAN context. A slice can be created from traffic characteristics, including a 5-tuple or an identified application, so selected flows receive dedicated forwarding, bandwidth, security, or quality policies. Huawei supports customized application identification using URLs and IP 5-tuple information, as well as application- and 5-tuple-based traffic steering and QoS.
VPN- or VN-based slicing provides logical Layer 3 isolation. Huawei's SD-WAN design maps each VN to an independent VPN instance or VRF and permits different overlay topologies, routing configurations, and policies. User-group-based slicing associates network treatment with identity or security-group membership rather than a permanently assigned IP address, supporting free mobility and consistent policy when users move. Huawei's campus architecture applies different permissions to different user groups inside a VN.
VLAN- or port-based slicing classifies traffic by the local access attachment and is useful for fixed terminals or environments without identity authentication. Therefore, A, B, C, and D are all correct.
質問 # 60
......
HCSE-Presales-Campus Network Planning and Design V1.0が提供するH19-404_V1.0準備トレントは、時間と労力を節約します。確認と準備に必要な時間は比較的わずかです。結局のところ、オフィスワーカーでも学生でも、H19-404_V1.0試験の準備をする多くの人々は忙しいです。しかし、当社が提供するH19-404_V1.0テスト準備は精巧にコンパイルされており、高品質のH19-404_V1.0学習教材を学習して提供するための時間とエネルギーが少なくて済み、H19-404_V1.0試験に集中できます。これにより、最も多くの情報を習得でき、時間とエネルギーを最小限に抑えることができます。
H19-404_V1.0最速合格: https://www.passtest.jp/Huawei/H19-404_V1.0-shiken.html