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Huawei Certification
H13-311_V3.5 Exam
Huawei.H13-311_V3.5.v2024-12-02.q142 Dumps

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Question 56

Voice recognition refers to the recognition of audio data as text data.

A.FALSE
B.TRUE

Correct Answer: B

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Question 57

Python regular expressions are a special sequence of characters that makes it easy to check if a string matches a pattern.

A.False
B.True

Correct Answer: B

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Question 58

In the classic convolutional neural network model, SoftMax What hidden layer does the function follow?

A.All of the above
B.Convolutional layer
C.Pooling layer
D.Fully connected layer

Correct Answer: D

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Question 59

AI inference chips need to be optimized and are thus more complex than those used for training.

A.TRUE
B.FALSE

Correct Answer: B

AI inference chips are generally simpler than training chips because inference involves running a trained model on new data, which requires fewer computations compared to the training phase. Training chips need to perform more complex tasks like backpropagation, gradient calculations, and frequent parameter updates. Inference, on the other hand, mostly involves forward pass computations, making inference chips optimized for speed and efficiency but not necessarily more complex than training chips.
Thus, the statement is false because inference chips are optimized for simpler tasks compared to training chips.
HCIA AI
Reference:
Cutting-edge AI Applications: Describes the difference between AI inference and training chips, focusing on their respective optimizations.
Deep Learning Overview: Explains the distinction between the processes of training and inference, and how hardware is optimized accordingly.

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Question 60

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

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

Correct Answer: C

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.

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