Free Practice Questions for Huawei H19-619_V1.0 Exam

Business middle platforms commonly include modules such asProcess Center(managing business processes),Event Center(handling business events), andEvaluation Center(business evaluation). ADiscovery Centeris more often associated with atechnology middle platform(for service registration & discovery in microservice governance), not with core business-capability abstraction.

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.

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).

In public transport, AI improvesmatching of buses to passenger demand (B), raiseson-time performance (C), andreduces manual scheduling/dispatching labor (D). Indoor gas-pollution prediction (A) is unrelated to bus operations.

Roadside sensing devices includeradar,RSU (Road Side Unit), andcamerasfor environment perception and car–road communication.OBU (On-Board Unit)is installed in the vehicle and is a vehicle-side device, not a roadside sensing device.

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.

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

“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.

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.