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Huawei HCIA-AI V3.5 Sample Questions (Q136-Q141):

NEW QUESTION # 136
The optimizer is an important part of training neural networks. The purpose of using the optimizer does not include which of the following:

A. Avoid local extremes
B. Reduce the difficulty of manual parameter setting
C. Avoid overfitting
D. Speed up algorithm convergence

Answer: C

NEW QUESTION # 137
Which of the following data types does Tensorflow not support?

A. int8
B. bool
C. double64
D. ftoat32

Answer: C

NEW QUESTION # 138
Huawei's full-stack AI solution includes Ascend, MindSpore, and ModelArts. (Enter an acronym.)

A. AIIS
B. CANN
C. AII
D. None of the above

Answer: B

Explanation:
CANN (Compute Architecture for Neural Networks) is part of Huawei's full-stack AI solution, which includes Ascend (hardware), MindSpore (AI framework), and ModelArts (AI development platform). CANN optimizes the computing efficiency of AI models and provides basic software components for the Ascend AI processors. This architecture supports deep learning and machine learning tasks by enhancing computational performance and providing better neural network training efficiency.
Together, Ascend, MindSpore, and CANN form a critical infrastructure that underpins Huawei's AI development ecosystem, allowing seamless integration from hardware to software.

NEW QUESTION # 139
When the universal text recognition service is successfully called, the returned text recognition result is stored in which of the following fields?

A. text
B. result
C. words
D. content

Answer: B

NEW QUESTION # 140
Which of the following are covered by Huawei Cloud EIHealth?

A. Drug R&D
B. Genome analysis
C. Diagnosis and treatment
D. Clinical research

Answer: A,B,C,D

Explanation:
Huawei Cloud EIHealth is a comprehensive platform that offers AI-powered solutions across various healthcare-related fields such as:
Drug R&D: Accelerates drug discovery and development using AI.
Clinical research: Enhances research efficiency through AI data analysis.
Diagnosis and treatment: Provides AI-based diagnostic support and treatment recommendations.
Genome analysis: Uses AI to analyze genetic data for medical research and personalized medicine.

NEW QUESTION # 141
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