Huawei H19-619_V1.0 Dumps

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

The emergency-command center supports urban public safety by coordinating multi-agency emergency response and protecting lives and property.

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

TheGuiding Opinionsemphasize institutional coordination, digital empowerment, and service optimization rather than relying solely on process-based assessments. Process supervision is only one of several mechanisms for ensuring progress; the continuous development of digital government depends primarily on innovation, standardization, and integrated governance.

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

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

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

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.

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

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.

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

Dual-middle-platform architecture (typically business + data) with pre-built standard modules greatly improves development efficiency. Real cases show the go-live cycle moving frommonths to weeks. Hours or minutes are unrealistic for such integrated government services; weeks is the reasonable scale.

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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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.

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

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.

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

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

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.

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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Comprehensive water big data requires integration of data from construction (infrastructure), environmental monitoring, local water bureaus at district & municipal levels, and the provincial water authority, forming a full multi-level dataset.

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In reality, AI is widely used in integrated inspections fordata fusion, anomaly detection, and intelligent analysis. The claim that it lacks AI support contradicts current technical practices in digital-urban management systems.

One-Network Unified Management focuses onurban operation, such asflood/typhoon emergency,fast handling of public appeals, andmuck-truck supervision. “Birth – one matter” is agovernment-servicescenario under One-Network Handling.

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).

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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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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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.

Typical city AI usage includesspeech recognitionfor internal systems,intelligent service Q&A,CV-based road-damage detection, andCV-based compliance detection (e.g., masks) in food-safety inspections.

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

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

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

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.

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

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).

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.

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.

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

The document calls for digitization of the government’score functions: ecological protection, macroeconomic regulation, market supervision, social governance, and public services.

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

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.

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

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.

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

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

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.

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 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.

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

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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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.

The solution is designed as afull-chain grassroots governance platform, typically covering Party-led governance, integrated approval services, grid management, integrated enforcement, and command/dispatch.

Core data-sharing infrastructure includesresource catalogsandsharing/exchange mechanisms. “Trusted catalog chain” and “shared-development portal” are extended concepts (blockchain or open-API portals), not basic exchange capabilities.

Data architecture bridges business and IT by abstracting business objects and logical data entities, then driving IT planning design.

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.

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.

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.

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

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.

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

“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.

The business middle platform handlesprocess standardization, and the data middle platform supportsdata sharing and AI analytics, jointly enabling efficient and intelligent online public-service delivery per State Council directives.

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

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.

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

Remote sensing + AI change-detectionis a standard way toidentify new or changed buildings, helping discoverillegal constructions.

Government Connectis acollaborative government office platformthat consolidates messages, to-do lists, calendars, and directories under one portal, improving coordination and complying with unified platform design principles.

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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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.

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.

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

An IOC isnotmerely for show. Its real role is to support:

data integration,

real-time monitoring,

emergency management, and

daily urban operations and public services.

National smart-city plans explicitly define IOC as anoperational and decision-support center, not just a visual demo.

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

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

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.

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.

Policy texts outline three development directions:deeper online handling,cross-regional access, andexpanded scenario coverage—precisely as stated in the question.

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

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.

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

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

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

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

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

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.

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.

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.

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.

Key capabilities includedynamic control algorithms (A),forecast and impact analysis (B),high-fidelity road-network modeling (C), andstrategy simulation & evaluation (D). LDM and unified perception/control network (E) are more about infrastructure, not directly labeled as “key capability enhancements” in the question.

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

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.

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

“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.

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.

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

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

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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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.

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

Standard components often includeGISfor mapping (B),video cloud platforms(C), andVDCP-related video processing/communication(D).ICP-DandICP-Care not typical standard components in most linked command solution architectures.

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).

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

An efficient “one-matter” handling process requiresrapid discovery(C),timely dispatch(B),effective execution/handling(A), andanalysis/review(D) to close the loop and continuously optimize.

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.

For this exam, the optimization and upgrade of digital infrastructure focuses oncloud–network & computing–network convergence (A),faster information-network build-out (B), andorderly intelligent upgrades of existing infrastructure (D). (Option C is treated as broader “new infrastructure” construction and not marked as correct here.)

True / False (Judgment) Questions

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

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

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.

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.

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.

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.

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

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