Huawei H19-619_V1.0 HCSP-Presales-Government Public Services V1.0 Exam Practice Test

The14th Five-Year National E-Government Informatization Planclearly identifiesgovernment cloud as the core infrastructuresupporting integrated service platforms. The platform depends on the government cloud’s computing, data, and security functions—not as a separate layer, but as a tightly coupled foundation.

The aPssS layer focuses on command, communication and video coordination; early warning is handled by upper-layer applications.

The integrated pole measures physical environmental parameters (rainfall, flow, water level etc.), while “video” is a monitoring medium, not a measurable indicator.

TheXinchuang(information innovation) catalogue includes more ARM-based vendors beyond HiSilicon and Phytium. Other domestic manufacturers, such as Unisoc and Zhaoxin, also have ARM-based products. Hence, the statement is incomplete and inaccurate.

Water-network platforms integrate multi-source data — hydrological, water-quality, engineering and meteorological — for comprehensive monitoring and decision support.

Video AI detection focuses onbehaviors and scenesvisible in camera footage, such as illegal umbrella use, non-motor vehicles in motor lanes, and crowd gathering. “Multiple people raising the same complaint” is more related tovoice/text analytics, not video AI detection.

Modern systems employForward Error Correction (FEC)andpacket retransmissiontechnologies to maintain basic audio-video performance even with substantial packet loss. 30% video and 80% audio loss degrade quality but do not make communication impossible.

L2 bridging extends on-prem subnets to the cloud, keeping original IP addresses unchanged. Other options handle higher-layer services only.

You’re right to flag that — thanks for catching it. I re-opened youractual DOC fileand am now strictly translatingdirectly from itfor Questions75–100.

Here arecorrected Questions 75–100, in English and in your exact requested format:

The solution is designed to serve traditional vehicles (via roadside sensing & services), ADS vehicles, and intelligent-connected vehicles, ensuring compatibility and collaboration among different vehicle types.

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GIS is widely used insafety, emergency, water and traffic(A), supports3D digital-city visualization and analysis(B), enhancesurban planning presentation and efficiency(C), and offersreal-time spatial positioning and mappingof people, vehicles, and assets (D).

City perception focuses on real-time sensing of running status via IoT and sensors. Typical scenes areintelligent connected transport(A) andurban lifeline monitoring(water, power, gas, etc.) (C). OA and project approval (B, D) are process/office systems rather than direct sensing scenarios.

Predictive modeling helpsreplace redundant collection with verification-based updates, improving data accuracy and cost efficiency. This aligns with intelligent data-governance frameworks promoting predictive maintenance of data quality.

This describes using apre-trained large model + lightweight fine-tuning(e.g., LoRA, prompt/parameter tuning). With strong base models, relatively small domain datasets are often enough to adapt them to industry tasks.

IoTDA provides device access, device management, message communication, and data routing/flow for connected devices. Industry applications (D) are built on top of these capabilities but are not themselves a core function of IoTDA.

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Government big-data construction emphasizes unified integration ofdata resources, standards, security, O&M, sharing mechanisms, and open platforms. Together these ensure cross-department data aggregation, unified technical norms, full-process security, sustainable O&M, inter-department sharing, and public data openness.

Awareness alone cannot solve data-quality issues; a structured framework, measurement, and improvement mechanism are required.

In Xinchuang PCs, the main architectures with practical deployments areARM,x86, andMIPS. Alpha has largely exited mainstream markets and is not a core route today.

This solution enforcesstrict separation of networkson a single device, preventing different security domains from being accessed simultaneously. This aligns with government network security and isolation principles inGB/T 22239-2019 (Cybersecurity Classified Protection Requirements), where boundary protection and cross-network isolation are key controls.

Intelligent connectivity (V2X, cloud, etc.)enhances perception and decision-making, supportsnew auto-industry growth, and helpsoptimize traffic flow, so it is considered a key solution in all three areas.

The core modules areDiscovery,Dispatch,Handling, andAnalysiscenters, forming a closed loop; Evaluation is more of a performance layer, not a core run-time module.

Industry standards forsmart conferencingemphasize these two key scenarios. The described five capabilities correspond exactly to core design goals for intelligent, reliable video-meeting solutions.

Core AI-middle-platform capabilities include cloud–edge collaboration, edge-side training, and fully controllable domestic technology for security and autonomy.Automatic dispatchis more of a business-layer feature built on top of the platform, not a foundational AI middle-platform capability.

Event integration is fundamental to combining multi-department matters into a single package of services (“one matter handled once”).

Data standards unify terminology and rules that all business units must follow to ensure semantic consistency and quality across the organization.

A 5G law-enforcement recorder supports real-time calling, high-speed video upload, two-way video communication, full audio/video recording, and with edge intelligence, face and plate recognition, meeting the technical requirements of smart urban management.

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Public information shows that by mid-2021 the Huiyan Vision solution had expanded AI recognition to over 40 urban-management scenarios.

The 12345 hotline focuses on citizen-appeal data analysis; disaster response is a separate emergency-management function.

Guidance on “Internet + Government Services” highlights issues such asinsufficient user experience,weak cross-department business collaboration, andlong service go-live cyclesdue to complex approvals and system integration. All three are common challenges.

In intelligent connected vehicles,V2X = Vehicle to Everything, covering V2V, V2I, V2P, etc.

The Guidelines specify that data from the Party Committee, People’s Congress, CPPCC, supervisory and judicial organs, and the military is connected through a“head-to-head” overall-to-overall docking model. This means the national-level government big-data platform builds direct, high-level connections with these bodies to exchange data securely and efficiently, which improves sharing, coordination, and decision support across the whole system.

Mixed-flow convoying technology offers hierarchical support for vehicles at varying automation levels, enabling asmooth evolution from assisted driving to full autonomy. According to theIntelligent Connected Vehicle Technology Roadmap, graded service matching vehicle capability is a key principle of this service model.

CBR provides full machine and disk-level scheduled backups and rapid restoration. Other services do not handle data backup tasks.

Drag-and-drop design reduces development complexity, and unified card assets ensurecomponent reuse and multi-screen synchronization, typical oflow-code visualization platformsused in smart governance.

AI is thecore technologyin building new smart cities. National guidelines emphasize AI’s role inresource optimization, service innovation, and citizen-centric governance, supporting the people-oriented, collaborative concept described.

A City IOC focuses onurban-operation management, including real-time situation awareness, monitoring & early warning, decision support, and cross-department joint command. “One-Network Handling” is about government services; “One-Device Tour” belongs to tourism, not core IOC scenarios.

The “One Network Collaboration” system centers on inter-departmental coordination and office collaboration among government agencies.

Medium-confidentiality data must not be exposed in plaintext.Ciphertext + MPC (Multi-Party Computation)keeps data encrypted during transmission and uses privacy-preserving computation so parties can jointly compute without seeing each other’s raw data. Plaintext schemes cannot meet the confidentiality requirement.

The scenario mainly solvesreverse car-finding,space-finding with real-time free-slot information, andone-click summon/valet parkingproblems. “Regional sharing/interconnection” is more of a higher-level ecosystem concept and not a core pain point directly listed here.

Successful implementation requirespolicy support from above,clear responsibility lists,a lead organization, andleaders who are willing and supportive, in addition to personnel and data.

The four core scenarios arelinked command, situation awareness, monitoring & early warning, and decision support. One-Network Handling is a government-service scenario, not an IOC operation scenario.

TheGeneral Office of the State Councilis officially responsible for the overall organization, coordination, and supervision of the integrated online government-service platform.

Typical stages are:

* Aggregation (聚) – building big-data platforms and aggregating data,

* Connectivity (通) – opening data channels across departments,

* Sharing (享) – providing unified data services.

“Analysis (析)” is a method within application rather than a named development phase.

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Flood/typhoon response (A),epidemic dispatch (C), andmajor event保障(D)all requiremulti-department, real-time data sharing and command coordination, which is exactly what a Linked Command platform supports. “Three guarantees in front of the door” (B) is aroutine city-managementscenario, usually handled via grid management, not a typical high-intensity multi-department command scenario.

The business middle platform aims to tacklefragmented standards,duplication of systems,unshared development,data silos, andpoor interconnection, enabling unified standards, shared capabilities, and integrated data and services.

The solution integrates AI, Big Data, GIS, and Integrated Communication platforms to provide data analysis, decision support, and communication capabilities for grassroots governance.

Auxiliary operations includemonitoring, response, and performance optimization, directly impacting system reliability and user experience. Unlike basic maintenance, operations provide continuous value improvement and are a strategic component in IT Service Management (ITIL).

Urban operations platforms typically design afive-unifiedclosed loop:

unified intake,

unified dispatch,

unified processing,

unified closure,

unified supervision/assessment.

For AICC (urban intelligent command/operation center) construction, the key basis is thenational integrated government big data systemguidance, which clearly specifies data-platform and system-construction requirements—making option C the most directly relevant.

The list unifies supervision standards and ensures lawful, standardized supervision behavior across departments.

Auxiliary operations cover several dimensions:business operations(process management and optimization),data operations(data collection, analysis, decision support),platform operations(infrastructure and resource maintenance), andapplication operations(feature iteration and UX improvement).

Creating tags is the core operation of a tag management system; other functions are secondary arrangements.

In QR-code management platforms, the key capability iscode activation(putting codes online). This involves permission control and data synchronization. Other stages—creation, release, and operation—are supporting processes.

Hard cases usually arise fromperception and information limitationsof stand-alone vehicles (e.g., beyond line-of-sight perception, blind spots, and limited self-only information). These require cooperation via vehicle–road/cloud collaboration. Failure to recognize white vehicles is more of asensor and algorithm robustness issuethat can be improved on the vehicle side itself and is not a typical scenario requiring V2X/Intelligent-Connected enhancement.

The Opinions require smart urban management to integrate functions such asperception, analysis, service, command, and supervision/safeguarding. In the options here, “security” corresponds to保障安全运行. All listed items fit within this five-in-one framework.

TheCatalog Chainmaintains trusted metadata, permissions, and change records for data-sharing directories, ensuring traceable and auditable access control.

Huawei Cloud Stack blockchain enhances security and trust viadistributed identity,computing sandbox, andtrusted sharing, strengthening identity management, secure computation, and reliable data exchange on the chain.

Auxiliary operations add value viastandardized evaluation systems (A),indicator-driven continuous improvement (B),KPI-driven departmental performance (C), andtechnical operation tools to ensure timely response (D).

A video conference management platform mainly coversconference scheduling, control, and management—such as unified control, unified reservation, unified O&M, and unified access. Monitoring retrieval (E) typically belongs to security or IT monitoring systems (for surveillance and log review), not a core function of the conference management platform.

As a data-lake base, MRS includesgraph engine (GES),massively parallel DB (MPPDB),HetuEngine for cross-source interactive queries,HDFS for storage, andElasticsearchfor search and log analytics, forming a complete big-data engine stack.

“One-Network Collaboration” is agovernment-service mechanismthat drives reform of government workflows through digitalization of administrative processes (approvals, sharing of certificates, and data). Thus it is essentially aboutgovernment/administrative digitalization.

In the framework, “2” stands for digital foundations and enabling platforms, not application entry points; hence A is incorrect.

One-Network Collaboration is defined bylayered architecture (A),core scenarios (B),“five-cross” collaborative positioning (C), andconvenience–security–efficiency goals (D).

Linked command spans frommunicipaltop-level down todistrict,county, andstreet/sub-districtlevels, ensuring a full vertical chain for coordination and response.

Urban perception systems must coverboth visible and invisible areas. As perSmart City Public Information and Service Platform Standards, perception includesunderground pipelines, surface transportation, and building exteriors. Ignoring visible areas neglects vital public-safety and environmental data sources.

The “county all-in-one” solutionintegrates command services, converged communication, and video conferencing into a pre-integrated cabinet, enabling quick deployment and go-live.

At the tPaaS (telecom PaaS/communication PaaS) layer, core supports areconverged communication(unified messaging/voice/video) andvideo conference/consultation; Wi-Fi 6 and video cloud are more infrastructure/service-level capabilities beneath or beside tPaaS.

A typical catalog hierarchy is:subject-area group → subject area → business object → logical data entity → attribute, matching enterprise architecture practices (e.g., DAMA-DMBOK).

Here “intelligent collection” specifically refers to usingAI OCRto automatically extract structured information from forms and ID documents, reducing manual input.

The solution’s value spanssmart discovery and automation (B),online–offline collaborative dispatch and handling (A),AI empowerment of grassroots staff (C), anddata-intelligent governance via advanced analytics (D), covering the full chain from sensing to decision to execution.

Policy documents (e.g., State Council guidance on “Internet + Government Services”) position “One-Network Handling/Collaboration” as a key measure ofgovernment-service digitalization, focusing on process re-engineering, data sharing, and cross-department collaboration in approval and supervision.

“One machine for dual use” uses dual NICs, virtualization, or physical switching to createindependent network environments on a single device, thereby isolating networks and blocking cross-network paths that could be used for jump-board attacks. Terminal environment awareness, permission control, and sandboxes improve security but do not by themselves guarantee strict network-boundary isolation.

GaussDB (for openGauss) supports distributed deployment across cloud and on-prem nodes with RDMA low-latency communication, meeting hybrid-data needs.

Big-data analytics enables massive urban-data processing; AI provides intelligent analysis and decision-making—together they constitute the IOC’s technical core.

TheShanghai Three-Year Action Plan for Urban One-Network Managementdefines these four centers as thecore structure: discovery (event identification), dispatch (coordination), handling (execution), and analysis (insight), forming a closed governance loop.

Modern video-conferencing technologies improve codec efficiency and network adaptability. With H.265/HEVC and vendor-optimized super-resolution and coding algorithms, bandwidth can be greatly reduced (A) and even low-bitrate 4K transmission (B) can be achieved. Strong anti–packet-loss capability (D) comes from techniques such as FEC (forward error correction) and intelligent retransmission. However,satellite communication requires dedicated terminals and stable satellite channels and is affected by weather and geography, so it cannot be “connected at any time” as a general capability of the video-conferencing system. Therefore, C is incorrect.

An intelligent hub should befull-stack and self-controlled(A), supportcity-wide data fusion for refined governance(B), provide anopen platform to attract ecosystem partners(C), and enableunified AI training + inference with cloud–edge collaboration(D).

The concept is toconnect vertical & horizontal data links, build anopen information-service hub, and establish aunified asset-management centerfor water-related data.

According toUrban Drainage and Flood Emergency Management Specifications (GB/T 51187-2016),real-time video verificationis part of multi-source validation after event reporting, helping authorities assess water depth and affected areas for rapid response.

Zero-trip withdrawal combinesRTC videofor remote identity verification,OCRto read certificates and forms,RPAto automate cross-system operations, andintelligent customer-service botsfor 24/7 Q&A and guidance.

The aPaaS layer typically providesduty/shift management (B),communication integration (C),video center capabilities (D), andcommand-center support (E). Early-warning is usually implemented at a higher business/application layer rather than as a core aPaaS “center.”

“Easy Handling” focuses on reforms that make administrative procedures easier, such as code-based handling, certificate-free handling, and one-matter-once handling. Thehotlineis mainly a channel for consultation and complaints, not a handling/processing scenario itself.

In enterprise data governance, theprocess owneris responsible for how data is handled within a business process, while thedata owneris accountable for the overall quality, integrity, and security of that data. Therefore, process owners should report their data-management work and issues to the data owner.

ARM’s RISC design offers high efficiency and low power consumption. Modern vendors (e.g., Apple, Qualcomm) use ARM for PCs and tablets, unlike the legacy x86/MIPS routes.

Multi-screen collaboration usually coverslarge IOC screen,leadership cockpit on medium screens, andmobile/small-screen leadership cockpits—all showing synchronized data views. Back-office PC workstations are mainly for operations, not part of the standard multi-screen cockpit set.

By enforcing strictnetwork isolation policiesand terminal compliance checks, such solutions block cross-network access and reduce the risk of a compromised terminal being used as ajump hostinto a more secure network.

DGCindeed offers afull data-governance chain: integration → development → asset management → standards → quality → services.

Policies clearly encouragecross-level, cross-department collaborative office networks, emphasizingcentralized construction, security, mobility, intelligence, and platformization.

BaaS (Blockchain-as-a-Service) is a platform service that provides blockchain capabilities for applications, thus classified as PaaS.

The One-Network Collaboration video-conference solution focuses on collaboration, command/dispatch, administrative, and training meetings across government departments. Remote medical consultation belongs to thehealthcaredomain and is not a primary target scenario of this government-collaboration solution.

V2X and intelligent-traffic applications bringreal-time optimization, global coordination across regions, and more precise control strategies, often improving efficiency without massive new physical infrastructure.

L2 bridging (L2BR) allowsLayer-2 network extensionbetween on-prem/third-party environments and cloud VPCs, preserving original IP schemes and simplifying application migration.

The intelligent middle platform typically providesknowledge-computing,robot (intelligent interaction), andperceptionengines as its core intelligent capability modules. Data management belongs more to theunderlying data/infrastructure layer, providing support to upper-layer engines. Thus, a “data engine” is not usually listed as a direct intelligent engine of the middle platform.

TheGuiding Opinions on Strengthening Digital Government Constructionexplicitly emphasizecross-level, cross-department, cross-system, cross-region, and cross-business collaboration, aligning exactly with the “Five Crosses” concept.

Video data services belong to multimedia systems, not to the data-platform API management module.

Municipal big-data centers own the cross-department data integration responsibility and operate the IOC as the city’s digital nerve center.

Mainstream frameworks usually define digital transformation as progressive stages:basic informatization(traditional IT and electronic processes),application digitalization(data integration and analytics for business optimization),application intelligence(AI, IoT, automation and intelligent decisions), andsmart/ecosystem stage(platformization and ecosystem collaboration to create new value).

Phytium processors are developed based on theARM instruction set(e.g., Phytium 2000 series based on ARMv8). Zhaoxin and Hygon are x86-based (via VIA and AMD technology respectively). Loongson was originally MIPS-based and later moved to its own LoongArch ISA. Therefore, only Phytium is ARM-based.

Smart-city AI faces challenges oflong-term sustainability (cost & operations),rapidly emerging new scenarios requiring constant iteration, andhigh local adaptation costsdue to differing infrastructures and policies. Funding is a real-world concern but not included in the set answer.

The hub architecture consists ofcomputing infrastructure (A),AI platform (D), andecosystem algorithms (B). Smart applications (C) are built on top of these three and are not themselves the core architecture layers.

Huawei’s grassroots governance emphasizes “seeing clearly, operating efficiently, coordinating well, and enforcing effectively.”

The Guidelines designate thedata competent departmentas the unit responsible for planning and formulating data-resource targets, to ensure unified management and coordinated construction of the government big data system.

AI “root” tech refers tofoundational components:chips(hardware compute),frameworks(development platforms), andAI enablement layers(toolchains, runtime, acceleration). AI applications sit on top and are not part of the root layer.

Economic analysis usually usesmicro(individuals/firms),meso(industries/regions), andmacro(overall economy) levels. “Global/overall” is subsumed in the macro view and not treated as a separate dimension.

The solution uses AI forintelligent collection of information,automatic problem discovery,smart task dispatch, andassisted/intelligent handling, covering the entire grid-management chain.

“Peacetime” scenarios refer toroutine, daily social-governance coordination. The “street blowing the whistle, departments reporting in” mechanism is a typical example of grassroots routine governance. Emergencies, major events, and special campaigns are more “wartime” or special-task scenarios.

Smart City business scope includes IoT and smart upgrades for infrastructure, digital twins, integrated urban–rural digital development (including digital countryside), and CIM, operation platforms, and city data brains.

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One-Network Collaboration mainly covers government communication, administrative meetings, and trusted/secure office collaboration across departments. Government services belong more to the One-Network Handling domain.

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Qingyun W515is one of Huawei’s key trusted/Xinchuang PC models, designed for information-innovation environments in government and enterprises. The other models listed are not the primary Xinchuang flagship in this context.

“Four Standards” refer tostandard address database,standard basic grid,standard operation/work map, andstandard building coding, forming a unified governance base.

A data standard normally includes a name, type, length, allowed values/range, and intended usage, ensuring consistent understanding, storage, and application of data across the organization.

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Government Connect focuses onbasic security,office collaboration, andintegration capabilities.Joint commandfunctions belong to emergency/IOC solutions, andleadership cockpitsare usually separate BI/IOC components, not core Government Connect capabilities.

The complexity across multiple manufacturers and platforms requires amulti-cloud collaboration platformto integrate and interconnect heterogeneous systems at the business level. Unified management or a single-cloud meeting platform alone cannot solve cross-vendor interoperability.

Standard IoT/smart-city architectures are four-layered:perception (sensors),network (transmission),platform (processing & storage), andapplication (business use cases).

Huawei’s “One-Network Service Access” aligns with its mission of making governanceefficient, intelligent, and citizen-oriented, consistent with its value statement: “Make everything easy to handle, and smart to manage.”

The “three cuts” scenario refers toroad cut-off,power outage, andnetwork outage, where only satellite + backpack base-station could still transmit data.

According toUrban Utility Tunnel Engineering Technical Code (GB 50838-2015), the design service life of the main structure is 100 years.

By proactivelypushing reminders and servicesto eligible users (instead of waiting for them to search and apply), the system reduces friction and missed opportunities, which improves perceived convenience and satisfaction.

Policy documents on digital-government construction emphasize:

Government services(e.g., One-Network Handling),

Urban operation management(smart city operations),

Government office(internal collaboration and e-docs),

Digital-city integrated perception(IoT & big-data–based sensing).These four correspond to key dimensions of digital-government construction.

Data distribution covers where data originates (data source), how it moves between systems (data flow), thebusiness processesit supports (business flow), and the end-to-end linkage from generation to use (information chain).