H19-619_V1.0 Practice Exam Questions with Answers HCSP-Presales-Government Public Services V1.0 Certification

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

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.

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.

Intelligent approval servicesverify material substance, useOCRto extract and compare text,extract key approval elements, and performformal completeness and format checks, enabling automated or semi-automated approvals.

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.

Full-process efficiency analysis focuses on analyzing responsibilities, dispatch efficiency, and blame-shifting issueswithinthe process.Repeated complaintsare more of a service-quality outcome metric than a direct internal process-efficiency analysis dimension.

“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.

Urban management standards define discovery viaprofessional inspections,intelligent IoT/video discovery, andcitizen snap-reporting; public-opinion reporting belongs to a separate social-governance/online opinion system.

High-capacity vision models trained on large datasets generalize better, reducing overfitting and improving accuracy across event-detection tasks. Empirical results (e.g., ImageNet pretrained models) support measurable accuracy gains of around 5% in multi-scene recognition.

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).

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.

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.

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

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.

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.

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.

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.

Tidal scheduling dynamically allocates system resources by time or load conditions. In intelligent transportation systems, cameras can switch algorithms (e.g., congestion detection vs. illegal parking) based on time windows or context — a key feature of adaptive resource scheduling.

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.

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.

GaussDB(for MySQL)isself-developed by Huaweiand designed to behighly compatible with MySQL syntax, easing migration.

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

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

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.

Video intelligent analysis identifies and records violations from footage, forming an electronic evidence chain for non-contact law enforcement.

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.

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

A dedicated cloud line provides secure, high-speed connectivity between on-prem data centers and cloud systems; the other options serve different purposes.

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

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

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.

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.

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

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.

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.

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.

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

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.

---

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

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

High-mounted cameras cover many spaces with less vandalism risk, enable24/7 auto timing & billing, supportquick illegal-parking detection, and provideimage + video evidencefor enforcement.

Warm Reminder Handling works bymatching rulesto identify applicable situations,creating tagsfor refined user segmentation,pushing servicesproactively to users, and providingpolicy interpretationso users can understand and use the related policies.

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).

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.

In the national big-data architecture, thedata-competent department(big-data governing authority) takes charge of the big-data platform’s architecture and system construction, while the State Council and its General Office provide macro policy guidance.

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.

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

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.

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).

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.”

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.

PhytiumandKunpengare ARM-based CPU brands;KirinSoCs andPanguAI processors are also ARM-based. Hygon and Zhaoxin are x86-derived; Loongson moved from MIPS to its own LoongArch.

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

According to financial-industry data-governance guidelines, a centrally responsible unit is designated. TheData Analytics Departmenttypically leads data standards, quality, and governance framework design and thus acts as the centralized governance owner. IT focuses on systems, compliance on regulations, and branches on execution only.

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.

---

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.

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

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.

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.

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.

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.

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

“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.

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.

To ensure authority and coordination, the office is generally led bygovernment general office,data/IT authority,development & reform,industry/IT, andfinanceleaders, covering planning, funding, digital policy, and execution.

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

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.

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.

“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.

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

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.

The City IOC integrates cross-department data and applications; it is normally run by a municipal big-data center that manages city-level information systems.

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.

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.

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.

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.

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.

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

The visual-command module includes video conferencing and integrated-communication components to achieve multi-level coordinated command.

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

AI has undergone three major growth waves (1950-60s, 1980s, and 21st century deep learning) and two “AI winters” (1970s and late 1980s).

Speech recognition supports hotlines and voice input, OCR text recognition extracts data from forms and certificates, and RPA automates repetitive approval and data-entry steps, together enabling full-process intelligent online services.

---

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.

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.

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.

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.

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

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.

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

Core AI-middle-platform capabilities arefull-stack??controllability (A),data-driven training iteration (B), andcloud–edge collaborative deployment (D). Simply “having many algorithms” (C) is not a structural capability and is not considered core.

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.

---

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

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

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).

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.

“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.

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.

The IoT platform connects sensors and devices to collect and control facility data in real time, achieving digital management of municipal assets.

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.

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.

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.

“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 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.

“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.

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.

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.

The business middle platform for government services is designed around full-process standardization and integration. According to national government-service platform standards, theItem Centermanages the catalog of service items; theForm Centerunifies form templates; theCertificate Centersupports generation and sharing of e-certificates; theProcess Centerdefines cross-department approval flows; and theCase & Dispatch Centercoordinates task assignment and progress monitoring. Together these modules form the core capabilities of the business middle platform.

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.

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

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

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.

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.

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.

---

In Huawei’s data platform:MRSprovides big-data computing,OBSoffers object storage for large unstructured data,DWSis the data warehouse service for analytical queries, andIoTDBis used fortime-seriesdata from IoT scenarios.