Free Huawei H19-619_V1.0 Practice Exam with Questions & Answers | Set: 7

Auxiliary operations cover several dimensions:business operations(process management and optimization),data operations(data collection, analysis, decision support),platform operations(infrastructure and resource maintenance), andapplication operations(feature iteration and UX improvement).

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

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.

AI “root” tech refers tofoundational components:chips(hardware compute),frameworks(development platforms), andAI enablement layers(toolchains, runtime, acceleration). AI applications sit on top and are not part of the root layer.

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

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.

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.

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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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.

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.