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H13-311_V3.5 · Question #353

Huawei AI The whole scenario includes public cloud, private cloud, various edge computing, IoT industry terminals and consumer. The deployment environment of terminal, edge, and cloud for fee-based…

The correct answer is A. TRUE. A (TRUE) is correct because Huawei's AI strategy is explicitly designed as an end-to-end "Terminal-Edge-Cloud" architecture that spans all of these environments: public cloud, private cloud, edge computing nodes, IoT/industry terminals, and consumer devices. This heterogeneous…

Huawei AI Development Platforms and Solutions

Question

Huawei AI The whole scenario includes public cloud, private cloud, various edge computing, IoT industry terminals and consumer. The deployment environment of terminal, edge, and cloud for fee-based terminals.

Options

  • ATRUE
  • BFALSE

How the community answered

(37 responses)
  • A
    84% (31)
  • B
    16% (6)

Explanation

A (TRUE) is correct because Huawei's AI strategy is explicitly designed as an end-to-end "Terminal-Edge-Cloud" architecture that spans all of these environments: public cloud, private cloud, edge computing nodes, IoT/industry terminals, and consumer devices. This heterogeneous, full-stack deployment model is a core tenet of Huawei's AI ecosystem design philosophy.

B (FALSE) is incorrect because it would deny the multi-environment nature of Huawei AI, when in fact the platform is specifically architected to operate across all these tiers simultaneously - not limited to just cloud or just edge.

Memory tip: Think of the acronym TEC - Terminal, Edge, Cloud. Huawei AI covers all three layers in both fee-based (consumer) and industry (IoT/private) contexts, making the "whole scenario" statement TRUE by design.

Topics

#Huawei AI infrastructure#Cloud and edge deployment#IoT integration#Distributed environments

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