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

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.

“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.

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

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.

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

A Smart City IOC is designed as a comprehensive command, monitoring, decision-support, and joint-enforcement center, integrating these functions to support urban governance from real-time monitoring to coordinated enforcement and decision-making.

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One-Network Handling usually involvesgeneral-office e-gov,approval bureaus,data/digital bureaus,big data bureaus, and alsoregulators like market supervision, which have many service items to go online.

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.

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.

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.

TheRegulations on Online Government Servicesspecify thatcitizens and enterprisesare the target service groups. Government employees are the service providers, not recipients, making this statement incorrect.

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

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.

A typical leading-group office includesplanning/development (strategy),quality & safety, anoperations/command center, and aparty–masses departmentresponsible for party-building and mass work, reflecting common organizational patterns in party–government and large SOEs.

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.

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.

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.

Leveraging decentralization and immutability, the blockchain e-certificate system can: build atrusted, multi-party attestation environment(A), supportfull-chain sharingacross verification, issuance, and management (B), and enabletrusted data sharing and multi-scenario reuseof e-certificates (C).

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.

OBD (On-Board Diagnostics) is installed in vehicles, not on roadside infrastructure.

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

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.

An IOC (Intelligent Operation Center) solution’score capabilitiesinclude:

multi-source data integration,

real-time monitoring, and

cross-department linked command.

Linked command is akey IOC scenario, enabling unified resource dispatch and emergency response, so saying it is “not” an IOC function is incorrect.

When AI is used across many government and urban domains, it becomes inefficient to build isolated islands. Instead, cities tend to buildunified AI platforms and shared compute resources, centrally coordinated.

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 the intelligent-connected cloud-control platform, theV2X Serverhandles vehicle–road collaboration, including perception and standardized distribution of road events (such as accidents or road works). High-precision maps and 3D GIS provide spatial/base data, while information security protects the system but does not manage events.

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.

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.

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

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

AI in cities is challenged bylong-term sustainability (operation/maintenance) risks(A),rapidly emerging new scenariosthat require constant model iteration (C), andhigh local adaptation costsdue to differing infrastructure and data (D). Funding is a real concern but is not listed here as a core technical/implementation challenge.

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.

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).

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

The 5G app-free join feature is based onnetwork-side cloud communication, enabling users to join meetings without installing separate apps. It supports major Android devices on both 4G and 5G networks, as described in theChina Mobile 5G New Call Technology White Paper.

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.

Its core purpose is to extend public and government services to residents for “last-mile” coverage of people’s needs.

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

Layer-2 Bridging (L2BR) extends the on-premises Layer-2 network into the cloud, so servers moved to the cloud can keep their original IP addresses and still communicate with the remaining on-prem servers in the same subnet. DNS, auto scaling, and load balancing do not provide Layer-2 extension or IP-retention capability.

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.

A comprehensive governance system must coverstandard processes,resource保障,dispute-resolution mechanisms,clear responsibility for key data, andstable IT principles—aligning with multi-dimensional governance frameworks (organization, process, technology, and responsibility).

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

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.

Data development modules in Huawei Big Data Platform enable model-driven design and standardized governance implementation.

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.

An integrated utility tunnel centralizespower, telecom, water, gas, etc.in a single underground corridor, and is often described as the“lifeline system”of a city, aggregating critical infrastructure.

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 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.

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.

The State Council’s institutional reform established theMinistry of Emergency Management, integrating multiple previously scattered functions, and explicitly aiming at anall-hazard, whole-processemergency management system.

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.

The solution builds on self-research, open ecosystems, and broad terminal integration; “5G priority” is not a listed pillar technology.

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

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

Phase one targets comprehensive safety monitoring forurban lifeline projects, coveringbridges, water supply/drainage, heating, gas networks, and utility tunnels, plus flood risk monitoring, to form an initial integrated safety-risk monitoring platform.

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

OBU (On-Board Unit) is anin-vehicledevice, not a roadside sensor; all others are road-side or perception devices.

“Smart Handling (智办)” refers to scenarios that rely heavily onintelligent technologies(like automatic approval, intelligent routing). “Certificate-Free Handling” focuses on reducing documents/materials via data-sharing (“less certification”), not on intelligent processing itself.

With advanced codecs, forward error correction, and intelligent retransmission mechanisms, leading video-conference solutions can still keep acceptable video quality at up to about30% packet loss.

The reform emphasizes improving service quality, integration depth, and coverage—not sheer user numbers.

Event dispatch belongs to the large-screen command-and-control system; medium screens are used for monitoring, analysis, and collaboration.

AI ecosystems consist ofhardware (chips),enablement layers (toolchains, data processing),frameworks (TensorFlow, PyTorch, etc.), andapplicationsin industries like healthcare and transportation.

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.

Object, time, evaluation, and process centers have all been implemented at scale as key business middle-platform modules supporting city governance scenarios.

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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.

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.

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

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.

The Opinions proposecomprehensive law-enforcement reform,integration of grid and command platforms,integrated approval-service agencies,optimized leadership and guidance methods, andresource/service/management sinkingto strengthen grassroots capabilities.

Policy documents clearly define the “network” here as theGovernment Service Network, which provides the unified online entry for integrated government services.

A City IOC typically includes warning, decision-support, governance/coordination, and command centers as its core functions. Call centers belong more to service-response systems than to the IOC’s central urban-operation role.

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.

TheNew Generation AI Development PlanandGuiding Opinions on Accelerating Digital Government Constructionboth stress building unified AI platforms thatintegrate computing, algorithms, and servicesto drive intelligent transformation in government.

The solution promotes “sunshine law enforcement” through: law enforcement publicity (openly publishing enforcement information), standardization (ensuring actions comply with laws and regulations), double-random inspections (reducing subjectivity by randomizing inspectors and targets), and 5G law enforcement (using 5G devices to improve efficiency and accuracy on site).

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DGC offersindustry-knowledge reuse,end-to-end governance,multiple development modes,centralized asset management, andvisualized operations, helping enterprises quickly build robust data-running capabilities.

A leadership cockpit typically includes abasic display/interaction platform (A),topic-specific analysis services (B),integration with OA workflows (C), andvisualization development tools (D)for custom dashboards and indicators.

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.

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.

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.

The empowerment center typically consists of early-warning, communication, command, and video centers. An on-duty center is more of an execution unit and is not usually counted as a core empowerment platform.

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Zero-trust emphasizesdynamic access policy per context (A),multi-dimensional continuous environment awareness and graded access (C), andrich fine-grained rules (E). Chip latency (B) and sandbox/watermark (D) are useful security features but not the distinctive zero-trust highlights emphasized here.

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.

The solutionnot onlymoves services online, it alsosupports and drives process optimization and re-engineeringto truly improve efficiency and experience. It isnotlimited to a simple “offline → online” move.

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

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.

One-Network Handling typically servesdata authorities,approval bureaus, and often links withcity operation centersto share data and services.

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.

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.

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

Business planning definesgoals, scenarios, scope, and processesof the business. System-integration planning belongs to thetechnical implementationlayer, focusing on how systems interconnect, not the business top-level design itself. B, C, and D are all core parts of business planning.

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

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

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

Smart law-enforcement platforms usually integrateregulation + penalty + discretion standards, so that selecting a case type auto-loads the correct legal basis and penalty ranges, ensuringstandardized enforcement.

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.

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

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

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.

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.

Loongson, Hygon, and Zhaoxin areimportantCPU vendors in the Xinchuang ecosystem, butnot the only major ones. Others likeKunpeng, Feiteng (Phytium), etc., are also core players, so calling only these three the “main” vendors is incomplete.

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.

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

Grassroots platforms shouldintegrate employment, social security, elderly care, disability support,security & mediation & psychological aid,disaster & epidemic & assistance, andhealthcare & livelihood services, creating one-stop, precisely matched convenience-service clusters.

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).

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.

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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Official guidance defines two main reporting channels:manual discovery(grid inspections, citizen hotline, etc.) andintelligent discovery(IoT sensing, video AI, etc.). “Active” and “passive” discovery are conceptual behaviours rather than standardized reporting-channel categories.

AI Middle Platform core capabilities focus ontechnical autonomy,continuous training iterations, andcloud–edge collaboration. Industry white papers emphasize that the middle platform’s value lies inreusable capabilities and continuous optimization, not in simply having the largest number of algorithms. Therefore, “having the most algorithms” is not a core capability.

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

The “five-in-one” overall layout refers toeconomic, political, cultural, social, and ecological-civilization construction. “Livelihood” belongs to the broader scope ofsocial construction, but is not listed as an independent dimension. Economy, culture, and politics correspond directly to three of the five dimensions, while “livelihood” is not one of the named five.

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

Street-order management uses video AI and sensors to detect various behaviors such as illegal umbrella use, illegal parking, overflowing bins, public disturbances (like fighting), and business operating outside designated areas, enabling timely intervention.

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Leadership Cockpit belongs to the IOC solution; Government Connect focuses on collaboration, security, and portal integration.

The solution emphasizes AI-drivendata governance, intelligent perception and automated workflows (“慧眼识事”), technology empowerment for grassroots staff (“AT赋能”), and cross-channel collaboration for efficient event handling (“融智分拨”). All four describe its core value dimensions.

Central planning explicitly emphasizesenhancing government-service efficiencyas a key task in the14th Five-Yearperiod.

“Exemption-and-Enjoyment” means citizens or enterprisesautomaticallyreceive benefits based on data sharing and matching, without active application or manual approval (e.g., subsidies for disabled/elderly people, talent incentives, enterprise subsidies). Travel permits to Hong Kong/Macao require application and manual review, so they are not “exemption-and-enjoyment” scenarios.