H19-619_V1.0 Exam Dumps - HCSP-Presales-Government Public Services V1.0

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.

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.

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 Guidelines specify that data from the Party Committee, People’s Congress, CPPCC, supervisory and judicial organs, and the military is connected through a“head-to-head” overall-to-overall docking model. This means the national-level government big-data platform builds direct, high-level connections with these bodies to exchange data securely and efficiently, which improves sharing, coordination, and decision support across the whole system.

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