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Question 49 - H13-311_V3.5 discussion

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Which of the following is NOT a key feature that enables all-scenario deployment and collaboration for MindSpore?

A.
Data and computing graphs are transmitted to Ascend AI Processors.
Answers
A.
Data and computing graphs are transmitted to Ascend AI Processors.
B.
Federal meta-learning enables real-time, coordinated model updates between different devices, and across the device and cloud.
Answers
B.
Federal meta-learning enables real-time, coordinated model updates between different devices, and across the device and cloud.
C.
Unified model IR delivers a consistent deployment experience.
Answers
C.
Unified model IR delivers a consistent deployment experience.
D.
Graph optimization based on a software-hardware synergy shields the differences between scenarios.
Answers
D.
Graph optimization based on a software-hardware synergy shields the differences between scenarios.
Suggested answer: B

Explanation:

While MindSpore supports all-scenario deployment with features like data and computing graph transmission to Ascend AI processors, unified model IR for consistent deployment, and graph optimization based on software-hardware synergy, federal meta-learning is not explicitly a core feature of MindSpore's deployment strategy. Federal meta-learning refers to a distributed learning paradigm, but MindSpore focuses more on efficient computing and model optimization across different environments.

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asked 26/09/2024
ahmed kehli
34 questions
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