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

A city IOC servesmultiple roles and departments—operations centers, emergency command, specialized bureaus, as well as city leadership. It is not exclusive to the mayor.

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.

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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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.

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.

Microwave links require line-of-sight surveys and frequency planning; they cannot be installed arbitrarily.

In grassroots social governance, the “Four Actuals” typically includeactual population, actual houses, actual entities/units, and actual facilities(or similar local variants). “Actual amount of money” is financial data and not one of the core physical/subject entities required for refined social governance, so D is not included.

Real-person authentication uses handwriting characteristics, data matching/comparison, biometrics (face, fingerprint, etc.), and liveness detection to prevent spoofing and ensure that the online user is the actual person.

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One-Network Handling aims tointegrate services across departments, simplifying processes and improvingexperience and efficiencyin key public-service sectors.

A smart-city IOC typically integratesdata management (E),visualization (B),analytics (A),monitoring & early warning (D), andcommand & dispatch (C). Together they enable situation awareness, prediction, decision support, and coordinated response.

With Huawei VDC plus partner systems, users can performcollaborative marking/annotationfrommobile devices,large command screens,integrated video-surveillance feeds, andsmart screens, enabling multi-end, synchronized emergency collaboration.

CDM focuses on large-scale batch data migration and integration between on-prem and cloud environments.

“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.

Data architecture uses structured models and entity-relationship design to standardize business information organization.

Intelligent-connected roadside sensing usescameras,millimeter-wave radar,LiDAR, andRSUfor environment perception and V2X communication, jointly building a complete roadside-sensing system.

AI is used insmart government services,livelihood services and communities,data-driven decision-making, andfine-grained governance(e.g., smart city management, environmental monitoring).

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.

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.

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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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.

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).

A city-operation integrated application focuses onresource integration and process optimization—integrating reporting channels, re-engineering processes to shorten handling time, and clarifying departmental responsibilities. Early warning of city risks is usually provided by emergency management or specialized monitoring systems, not the primary function of the integrated operation application itself.

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.

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.

TheV2X Serverin the cloud-control platform is responsible for vehicle–road collaboration, includingreal-time distribution of road events(warnings, accidents, etc.). 3D GIS focuses on spatial visualization, high-precision maps provide static map data, and information security protects the system, but they do not directly handle dynamic road-event management.

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).

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.

Large models are typically categorized by task type:NLP(e.g., GPT),CV(e.g., ViT),multimodal(e.g., CLIP, combining text+image), andscientific-computing models(e.g., AlphaFold for protein structures).

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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Ablockchain platformprovides distributed ledgers, immutability, and traceability, creating a trusted environment for cross-department data sharing. Big data, cloud, and AI support storage, analysis, and intelligence but do not themselves guarantee multi-party trust and tamper resistance.

Data auditing is important, butmore rules ≠ better. Too many rules raise complexity, cost, and false positives. What matters isappropriate, well-designed rules, not sheer quantity.

Under thecentralized construction principle, local government platforms share upper-levelgovernment cloudinfrastructure rather than building their own. This avoids duplication and supports unified security and scalability.

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.

Up to 2022, Huawei’s Qingyun PC and printer series have been included in the Xinchuang catalogue as trusted products.Huawei Tablet CXhad not been included, so option C is correct.

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

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.

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

AI handles intelligent data processing while RPA automates report generation — together they enable automated daily reporting.

A water IOC coverssituation awareness(monitoring),decision analysis(models & forecasting),linked command(coordination), and also interfaces strongly withemergency-rescue functions, so all four options are included here.

The solution covers the entire chain:data aggregation (A),development & governance (B),service-ization and secure exposure-control (C), andvisualization & applications (D).

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.

By aggregating appeals and sentiment, providing insight analysis, generating evaluation indices, and linking to handling data, the solution offers a full view of citizens’ feelings and responses, supporting more precise policies and governance.

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RPA (Robotic Process Automation) automates repetitive, rule-based tasks. The “Intelligent Guidance” scenario applies RPA to guide users automatically through service steps, improving efficiency.

GB50838-2015 specifies that thedesign service life of the main structure of an urban utility tunnel is 100 years. Full-lifecycle investment should therefore be calculated on this 100-year basis.

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.

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

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

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.

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

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.

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

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.

IOC event collaboration typically runsfrom early warning, to work-order issuance, supervision, and closure, forming a fullalert–dispatch–handle–feedbackclosed loop.

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.

Business middle platforms for government services standardizeitems,materials, andprocessesas basic business-support components. The Item Center manages service items, the Material Center standardizes application materials, and the Process Center supports approval flows. AContingency/Plan Centeris used for emergency scenarios and is not a basic business-support component of the government-service business middle platform.

ROMA Connect provides application and data integration across cloud and on-prem environments, supporting hybrid-system interconnection through standard APIs.

Mainstream frameworks see digital transformation as progressive stages:basic informatization(traditional IT, electronic processes),application digitalization(data integration and analysis for optimization),application intelligence(AI, IoT, automation), andsmart/ecosystem(platform + ecosystem collaboration to create new value).

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

Their value lies in operational safety, efficiency, and seamless mobility, not in reforming traffic-management models themselves.

Standard work-order intelligent algorithms mainly coverclassification and dispatch. “Similar-case” is more typically treated ascase retrieval/knowledge-base functionality, not a core algorithm type itself. “Difficult-case identification” also depends heavily on implementation details. Some technical references on intelligent customer-service systems focus on intelligentclassification and routingas the main algorithms and donotclearly list “similar-case” as an algorithm category. Therefore, the taxonomy in the statement is considered inaccurate.

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.

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

Huawei’s AI video algorithms can support a variety of scenarios such asillegal occupation of roads, environmental sanitation issues (exposed garbage), water-surface anomalies like blue algae, and human intrusion.

Policy documents clearly state thatdigital infrastructure(networks, data centers, etc.) is thebaseof the digital economy.

Emergency-command centers coordinate disaster response and resource deployment; daily personnel training is not their main functional responsibility.

City vital-sign applications supportconfiguring indicators,monitoring and early warning,generating reports, andforwarding alarmsfor coordinated handling.

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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Linked command is characterized bymulti-level linkage,comprehensive resource dispatch, andunified command. “Single-soldier” fighting stresses individual independence and is contrary to linkage and collaboration.

Business objects should beessential domain entities (A), haveunique IDs (B), beindependent with attribute descriptions (C), and correspond toreal master or transactional instances in practice (D).

One-Network Unified Management is built around a closed loop of discover → dispatch → handle → analyze, forming four centers that support continuous improvement in city governance.

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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.

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

The Outline focuses ondigital economy,digital government, anddigital societyas three core components. “Digital city” is treated as part of digital society, and “digital ecology” is not named as a top-level pillar.

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.

Process and collaboration optimization plus online/mobile channels enhancezero-trip indicators,full-process online rate,instant-approval degree, andoverall online service capability.

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

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

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

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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Octopus cloud providessimulation,training,data, andregulatory/supervision-relatedservices for autonomous driving, covering the full development and validation cycle.

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

The performance of pretrained models heavily depends on thequantity and quality of available data. Small models have fewer parameters and limited representational capacity, so with insufficient data, they struggle to learn generalized features. This often leads to underfitting or overfitting. As noted in technical documentation (e.g., Hugging Face), local adaptation typically requires large, diverse datasets—something small models handle poorly.

Standard design of such platforms includesindicator management, alert models, risk-rating modules, and report assistants, consistent withInformation System Security Requirementsand public-sector technical guidelines.

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.

Urban sensing-network standards emphasizereal-time or minute-level responsefor security threats. “Hour-level closed loop” is too slow and does not meet industry requirements. The other options align with principles such as SLA guarantees, intensive construction, and trusted access.

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.

The solution serves local government departments responsible for administrative approvals and data management.

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

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.

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).

In standard database and data-architecture theory, data models are commonly divided intoconceptual,logical, andphysicallayers, reflecting business abstraction, logical structure, and implementation details.

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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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:

A Smart Water IOC normally includessituation awareness(real-time monitoring),decision analysis(big-data & model-based decision support), andlinked command(cross-department collaboration and emergency response).

The tPaaS basic layer is designed as anintegrated, shared platform, consolidating:

fusion communications,

video cloud,

IOC-related capabilities,

GIS, etc.,

and then exposing them ascommon platform servicesfor business departments. This matches the principles ofcentralized, unified technical architecture.

Intelligent approval relies on AI models and rules. In practice there are handwriting issues, non-standard forms, edge cases, and logic conflicts. Current AI cannot reliably handle100%of cases, so human review is still needed.

The ICP-D (Integrated Communication Platform) and VDC (Virtual Data Center) together enable video transmission and multi-protocol communications for urban-management systems.

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

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.

Linked handling relies on advanced audio–video tech: improvedcompression efficiency (A, B),broad terminal access and converged consultation (C), andstrong anti-packet-loss performance (D)to ensure stable, high-quality collaborative command.

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.

According to public safety standards (GB/T 38121-2019), emergency command systems must integratevoice, video, and monitoring channelsunder unified scheduling. The description perfectly matches this “all-communication coordination” requirement.

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.

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.

Vehicle color recognition is handled by sensors and algorithms and is not a typical technical bottleneck. The other scenarios are classic limitations of stand-alone autonomy.

The four dimensions areone screen to view all,one network for monitoring & early warning,integrated linked command, andone-click analysis & decision. “One network to manage everything” overlaps conceptually and is not a separate defined dimension here.

Global Perception refers to using IoT, sensors, and other technologies to collect city-operation data in real time, forming a dynamic monitoring network. “Intelligent discovery + proactive early warning” requires real-time, multi-source data collection and analysis, which matches the characteristics of Global Perception. Knowledge computing focuses on reasoning over data, elastic scheduling on resource allocation, and robots on process automation, none of which are the core capability forproactive sensingitself.

TheGuiding Opinionsbelong to thedigital governance and public administration reformframework, not the digital-economy policy category. It focuses on government modernization, not economic-market mechanisms.

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.

The official vision emphasizes creating asmart and accessible governance experience—“easy to handle and smart to handle”—reflecting Huawei’s user-centered digital government philosophy.

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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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.

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.

The framework includesservices, operation management, internal office, integrated sensing, intelligent hub/brain, and big-data systems, jointly forming a complete digital-government architecture.