H19-619_V1.0 HCSP-Presales-Government Public Services V1.0 Questions and Answers

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.

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.

As defined in theUrban Operation Management Service Platform Technical Standard, the monitoring and early-warning mechanism includesdiscovery, handling, supervision, and feedback, forming a closed loop and supporting the promotion of pilot standardization.

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

The solution supports full-process automation:intelligent discovery,intelligent dispatching,assisted handling tracking, andauto/standardized case closing, forming a complete closed-loop.

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.

CDM performs large-scale, scheduled batch migrations between local and cloud environments; it is not a real-time sync tool.

Linkage-command solutions rely on integrated communication, business collaboration, and system interconnection. Data governance platforms focus on metadata and quality management rather than real-time command operations; hence option C is excluded.

A city digital platform must supportheterogeneous compute (CPU, GPU, etc.),elastic schedulingfor load changes,cloud–edge collaborationto optimize latency and bandwidth, and amulti-algorithm repositoryto manage, store, and iterate bureau-specific models.

According to national integrated government-service platform guidelines, the business middle platform focuses on service-standardization modules:Item center(B) for managing service items,Form center(C) for configurable forms, andCase center(D) for handling acceptance, circulation, and feedback. e-Seals and unified users belong tosecurity / identity layers, not the core business middle platform modules.

Refined management is the starting point of smart government construction; it lays the foundation for subsequent service and industrial intelligence enhancements.

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

Intelligent-connected intersections mainly aim to improve traffic safety and traffic-flow efficiency. Accident reduction (C) comes from risk prediction and early warning (e.g., collision warning, blind-spot monitoring). Communication efficiency (D) comes from low-latency, reliable V2X communications (5G/C-V2X). Law-enforcement and fine frequency are secondary effects, not core value goals.

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Same logic as Q271:multi-level linkage,integrated dispatch, andunified commandare key;single-soldieris not.

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.

Gas-safety monitoring for the urban lifeline focuses onpipe pressure,gas flow,construction vibration, andcombustible-gas concentrationto detect leaks, anomalies, or external damage. The other options describe different environmental or structural monitoring scenarios.

Policy documents on digital government describe a framework includinginfrastructure, data resources, application support, business applications, cybersecurity, and policy/standards, covering technical, application, security, and institutional dimensions.

Advanced systems usingForward Error Correction (FEC), redundant encoding, and adaptive bitrate control can sustain service at up to30–50% packet lossin optimal conditions. While visual quality degrades, functional continuity can still be maintained.

Option A describes data authorization but not as an advantage specific to the “One-Code Access” solution; the others reflect its core benefits in integration and user experience.

Policy requiresdemand-driven, application-oriented, digitally empoweredsmart water conservancy, building a “Four-Pre” system (forecasting, early warning, rehearsal, plan). The text mentions “预采”, but it essentially refers to thisFour-Prestructure.

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.

“Seconds-level approval” relies onautomatic e-signatureson standardized digital forms and commitment letters, via integration with existing e-seal/e-signature platforms, to close the approval loop electronically.

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.

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

Mainstream large models includescientific-computing,NLP,CV, andmultimodalmodels, corresponding to key AI research and application domains.

Emergency collaboration depends onshared data and clear resources (A),smooth inter-department communication (B),practical and operable emergency plans (C), anda unified coordination/command mechanism (D).

Different official architectures define the “three enablements” slightly differently (e.g., data, AI, application; or data, AI, integration). Saying it isspecifically and only“data, AI, IoT enablement” does not match the standard definition in this context, so this statement is considered inaccurate.

“One Matter” systems aim foronline integrated handlingof full processes, withzero in-person visits and no face-to-face, through process re-engineering and data sharing.

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.

The IVS (Video Surveillance) networking framework standardizes connections for cross-department video systems.

Best practice is tofirst build a sound operating environment(infrastructure, policies, test conditions) for the pilot zone, then roll outlarge-scale smart applications, maximizing effectiveness and industry clustering.

In smart-city governance systems, the medium screen is avisual analytics interfaceplaced in offices and meeting rooms for city-wide KPIs and key government applications. This matches e-government construction guidelines stating that decision cockpits should supportleadership office scenariosand integrate bothcity overview and government-application modules.

Leadership cockpits integratereal-time monitoring and alert systemsfor key performance indicators. When anomalies occur, red-light warnings automatically notify responsible parties—standard functionality in enterprise BI and ERP systems.

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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Many references divide digital transformation into stages such asbasic informatization(traditional digitization of processes),application intelligence(using AI and big data to enhance decision-making and automation), andsmart/ecologicalization(building open, collaborative digital ecosystems). Here, “smart/ecologicalization” appears twice (B and D), but all options A–D together reflect the typical staged evolution path.

Smart meeting-room solutions typically include smart screens, video terminals, wireless projection, and IoT devices (e.g., environmental sensors, occupancy sensors). Smart lighting is more closely related to building automation/environment control and is not a core component of the meeting solution itself.

Government Connect typically providesunified portals (A),cross-system search (C), andbasic security (E).Leadership cockpits (B)belong to decision-support/BI platforms, andlinked command (D)belongs to emergency/command systems, not core Government Connect capabilities.

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.

This metaphor illustrates thedemand–supply–coordination modelin “Internet + Government Services.” Citizens express service needs, the integrated platform allocates resources, and departments deliver execution—an exact reflection of the “Central Kitchen” governance concept.

Manual dispatch often suffers fromdepartmental buck-passing (A),experience-based assignment errors (B),duplicate work orders (C), andunanswered hotlines (D), all of which reduce efficiency and service quality.

The statement describes Huawei’s participation across multipleemergency-management sub-domainsand levels, not just pure technical delivery but also top-level design and standards involvement.

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.

According to theNational New-Type Urbanization Plan (2014-2020)and related industry reports, China’s Smart-City programs remain in the exploratory and rapid-development stages; they have not yet reached maturity. Problems such as inadequate top-level design and repeated construction still exist, confirming that option A is inaccurate.

ASIC refers toapplication-specific integrated circuits. While HiSilicon does design ASICs,Phytiumfocuses mainly ongeneral-purpose processors (CPUs)rather than classic ASIC-type chips. Treating both as the main “ASIC architectures” in the XC catalog mixes different product categories, so the statement is inaccurate.

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

Pretrained large models encode general knowledge that can be efficiently adapted to industry tasks throughparameter-efficient fine-tuning (e.g., LoRA, Prompt Tuning)using minimal domain data. This method significantly reduces cost and time, aligning with real-world practices.

The Plan clearly defines goals for 2023, includingtechnological breakthroughs, model innovation, enterprise cultivation, replicable application models, and a complete IoT standard and security system, exactly as stated in the question.

Public-opinion risk control focuses onsocial conflicts and appeals, such aslabour disputes (B),illegal gatherings (C)andfinancial-platform failures affecting citizens (E). Linked command (A) is a mechanism, and flood/typhoon prevention (D) is a natural-disaster scenario, not directly “appeal risk” topics.

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).

Information integration and sharing eliminate data silos and enable cross-department decision-making, the foundation of smart governance.

MCP is designed formulti-cluster, multi-region, multi-cloud unified management, improvingelastic scaling and DRcapabilities.

Government documents emphasize “one-form application, one-set materials.” Form-level optimization enables cross-department workflow consolidation.

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.

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

Events are commonly reported via:professional systems(A),official online channels(B),new-media platforms(C), andgovernment hotlines(D). All four are standard, recognized channels for collecting public issues and appeals.

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.

“Code Recording” (trajectory tracking) is not a defined stage of the One-Code Access framework; the other steps reflect its official progression.

A city IOC integratesbig data, IoT, AI, and cloud computing, supporting monitoring, decision-making, and command—not just visualization. The statement ignores its multi-technology and multi-functional nature.

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.

Data architecture typically includes a data-asset catalog (organizes and classifies assets), data distribution (where data resides and how it flows), data models (structure and relationships), and data standards (definitions, formats, and conventions). Together they ensure data is consistent, findable, and supports the business.

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A dispatch center mainly needs integrated platforms, middle-platform support, and intelligent dispatch algorithms to coordinate resources and tasks.Video intelligent analysisis more related to monitoring and security scenarios, not a core requirement of the dispatch center’s own scheduling capability.

In enterprise architecture (e.g., TOGAF),data architecture is a core inputto IT planning and system design. It does not just “receive” business needs; it alsoguides and constrainsIT architecture.

Notallcities have such a feature deployed or widely adopted. Some smaller cities or rural areas may lack this function, or usage may be low due to weak promotion or incomplete functionality. The statement overgeneralizes apartial situationas if it were universal, so it is inaccurate.

The “three middle platforms” for government services are:Business Middle Platform,Data Middle Platform, andAI Middle Platform. The Technology Middle Platform is more about underlying technical architecture and is not counted as one of the three core government-service middle platforms.

“Apply-Free and Instant-Benefit” leveragesdata sharing and intelligent matchingto proactively deliver eligible benefits. This converts passive applications into proactive digital delivery, cutting paperwork and processing time to minutes—an officially recognized reform to improve business environments.

Machine learning optimizes recognition and comparison algorithms to enhance system accuracy; other options refer to procedural or peripheral functions.

Intelligent discovery needsdeeper intelligent application(A),better algorithm accuracy(C), andhigher infrastructure utilization(D). Completely replacing manual discovery (B) is unrealistic at present; human–machine collaboration is still the norm.

Empowerment comes fromcommand,monitoring & warning,visualization,analytics, and adata hub, jointly supporting various IOC application topics.

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.

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

“City One Cloud” is acomprehensive city/ government cloud architectureintegratinghybrid cloud,base cloud (regional nodes),DR cloudfor continuity, andXC cloud(domestic tech stack). Private cloud as a separate, stand-alone silo is not counted as a core “One Cloud” component here.

“One-Network Unified Management” refers todigital integration of urban governance resources, focusing on cross-department collaboration and precise management, not literal control of “everything.” It aims for efficiency and accuracy rather than unlimited scope.

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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Following theNational Government Informatization Project Management Measures, unified resource planning and sharing avoid waste and fragmentation. Amulti-tenant AI resource poolenables logical separation via virtualization while achieving centralized governance and efficient resource utilization.

OCRextracts text from images/forms, andRPAsimulates human actions to enter data into systems, together enabling automatic information entry. GES (graph engine) and NLP (semantic understanding) are not core to simple auto-entry in this context.

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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The AI video-recognition models are designed to remain accurate underfog,reflections,weak light,rain, andglare, addressing real-world monitoring challenges at water facilities and rivers.

These four pillars—interconnection, 4K video, unified management, and AI-powered meeting spaces—form the foundation of secure, modern meeting environments, consistent with theIntelligent Conference System Technical Specification.

The solution is built onroadside sensing,communication networks,cloud platformsfor scheduling and analytics, andon-board systems, forming an end–edge–cloud architecture.

“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.

The solution provides panoramic perception, capacity-baseline analysis, lane-level trajectory tracking, and precise vehicle identification (e.g., via electronic plates/OBU), enabling smarter, more fine-grained intersection control.

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

The platform typically consists ofdepartment-level business chains,public-service chainsfor cross-department collaboration, aunified management platform(node/contract management, monitoring), and anunderlying chain-technology platformproviding consensus, crypto, etc.

A NAT Gateway allows private-network instances to share one public IP to reach the Internet, conserving public-IP resources. RDS and OBS provide storage functions only; Cloud Disk handles block storage, not networking.

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

The standard architecture definesBusiness,Data, andAIas the three major middle platforms. A GIS middle platform is a specialized support domain rather than one of the three general core middle platforms.

“One Matter” meansintegrating multiple related servicesinto one seamless process from the citizen or enterprise perspective. TheGuiding Opinions on Deepening “One Matter Once Processed” Reformclarifies that it coverscross-department, cross-level workflows, not just one isolated service.

CCE does supportmulti-AZ active-activefor control and data planes, enhancinghigh availability and continuityfor critical workloads.

The IOC vital-signs system monitors overall urban operation indicators holistically, similar to a comprehensive health check-up.

Intelligent discovery integratesGIS data and administrative responsibility mappingto automate event detection, registration, and dispatch. This reduces manual intervention and increases efficiency—widely applied in smart-city management and urban maintenance systems.

Data modeling usually proceeds fromconceptual(business entities and relationships) tological(structures and rules) tophysical(actual storage structures). Data-quality reports belong to monitoring and assessment, not the modeling process itself.

The three major algorithm engines coverrobot (automation/execution),full-domain perception (multi-source environment sensing), andknowledge computing (reasoning and knowledge application). Elastic scheduling focuses onresource management, not on core algorithmic engine functions.

As the core support system of a smart city, the hub needs amulti-algorithm repository(A) for flexible algorithm use,elastic scheduling(B) to dynamically allocate compute and storage,cloud–edge collaboration(C) to reduce latency and enable real-time response, andheterogeneous compute management(D) across CPU, GPU, FPGA, etc.

According to the Opinions on fully implementing administrative law-enforcement publicity, full-process recording, and major-decision legal review,all key stages of law enforcementmust be recorded (text and audio/video), including personnel attendance, investigation, approvals, legal review, and document creation. Thus all options apply.

Policy guidance defines the core of “One-Network Management” asefficient and collaborative handling of individual eventsthrough cross-department digital coordination. Cost, overall “digital government” status, and rigid organizational reform are not its core definition.

The Mobile Trusted Office solution involvesEMM,5G dual-domain private networks, anddesktop-cloud tablet adaptationas solution components and technologies. “Honor mobile phone” is a specific hardware brand/model, not a conceptual component of the solution architecture itself.

Federated management establishes central standards with delegated execution across subsidiaries—balancing control and flexibility for large, multi-branch corporations.

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

The sensing system comprisesterminals (devices),networks, aplatformfor processing/storage, andapplicationsbuilt on top—matching the “perception–network–platform–application” layered model.

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.

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

Modern codecs such asH.265 and AV1, combined with intelligent transmission algorithms, enable up to 50% bandwidth savings at equivalent perceived quality. This efficiency is recognized in ITU-T H.265 standards and enterprise technology white papers.

The three stages of government-service data-middle-platform development generally are:

Coordinated construction of abig data platform(data aggregation & basic capabilities),

Adata-sharing and exchange platform(breaking departmental barriers),

Aunified data-resource service platform(standardized, intensive data services).A data-element trading platform concerns market-based data transactions and is not a core evolution stage of the government-service data middle platform.

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.

From a value perspective, One-Network Unified Management is positioned toaddress governance bottlenecks and raise satisfaction (B)andbuild a unified digital foundation for city governance (D). AI mining and process re-engineering (A, C) are more like methods and tools than the top-level value statements adopted here.

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.

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

The “three-layer block data model” divides data intospatial, basic, and business layersto support modular governance and topic-based analytics. The description aligns with standard data-governance frameworks.

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.

Foundational government data libraries usually includepopulation,legal-person,geospatial, ande-certificatedatabases as the core shared resources supporting government services and supervision.

IOC decision-support often includeseconomic-operation analysistopics andtransport / last-mile mobilitytopics, using integrated data to support policy decisions in these areas.

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.

City-wide AI improvesservice efficiency and fairness (A),refines governance through data-driven precision (B),supports scientific decision-making via analytics (C), andenhances citizen experience and human-centric services (D).

The Plan explicitly calls fordigital upgrading of traditional infrastructure—including transport, energy, and municipal systems—and for developingubiquitous sensing, terminal interconnection, and intelligent dispatchingframeworks. The statement aligns precisely with the original policy wording.