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Huawei H13-311_V3.0 - HCIA-AI V3.0

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Total 369 questions

It is known that the total parameter of a certain layer of the fully connected neural network is 330,The number of neurons in the previous layer and this layer May be?

A.

32 with 10

B.

10 with 33

C.

33 with 10

D.

9 with 33

Which of the following about the gradient descent is incorrect?

A.

Random gradient descent is a commonly used one in gradient descent.

B.

Gradient descent includes random gradient descent and batch gradient descent.

C.

The gradient descent algorithm 1s fast and reliable [Right Answers}

D.

Random gradient descent is one of the commonly used optimization algorithms in deep learning algorithms.

Which of the following does the convolutional neural network structure not include?

A.

Convolutional layer

B.

Pooling layer

C.

Loop layer

D.

Fully connected layer

Which of the following environments does not support to install the T11nsorFlow?

A.

Linux

B.

Mac OS

C.

Docker

D.

OpenStack

Huawei Cloud El builds enterprise intelligence services based on three-tier services.

Which of the following options does not belong to Layer 3 services?

A.

Basic platform services

B.

General domain services

C.

Industry sector services

D.

Integration services

MSIR It is a simple, efficient and flexible graph-based function IR, A functional semantic type that can be represented Have?

A.

Free variable

B.

Higher order function

C.

Interrupt

D.

Recursion

The number of hidden layers of the deep learning neural network has a certain impact on the performance of the network. The following statement about its impact is correct.: A. The number of hidden layers is

appropriately reduced, and the resolution ability of the neural network remains unchanged

B. Increase the number of hidden layers appropriately, the stronger the resolution ability of the neural network

C. The number of hidden layers is appropriately reduced, the stronger the resolution ability of the neural network is

D. The number of hidden layers increases appropriately, the weaker the resolution ability of the neural network

About Bayesian formula- P(WlX)=P(XlW)*P(W)/P(X) What is the correct description?

A.

P(WIX) is a prior probability

B.

P(XIW) 1s a conditional probability

C.

P(W) is the posterior probability

D.

P(X) is the posterior probability

HUAWEI CLOUD ModelArts Is for AI Which of the following functions are in the developed one-stop development platform Mode1Arts Can have?

A.

Data governance

B.

AI market

C.

Visual workflow

D.

Automatic learning

On-Device Execution, that is, the entire image is offloaded and executed, and the computing power of the Yiteng chip can be fully utilized, which can greatly reduce the interaction overhead, thereby increasing the

accelerator occupancy rate. On-Device The following description is wrong?

A.

MindSpore Realize decentralized autonomy through adaptive graph optimization driven by gradient data A11 Reduce, Gradient aggregation is in step, and calculation and communication are fully streamlined

B.

Challenges of model execution under super chip computing power: Memory wall problems, high interaction overhead, and difficulty in data supply. Partly in Host Executed, partly in Device Execution, interaction

overhead is even much greater than execution overhead, resulting in low accelerator occupancy

C.

MindSpore Through the chip-oriented depth map optimization technology, the synchronization wait is less, and the "data computing communication" is maximized. The parallelism of “trust”, compared with training

performance Host Side view scheduling method is flat

D.

The challenge of distributed gradient aggregation under super chip computing power:ReslNet50 Single iteration 20ms Time will be generated The synchronization overhead of heart control and the communication

overhead of frequent synchronization. Traditional methods require 3 Synchronization completed A11 Reduce, Data-driven method autonomy A11 Reduce, No control overhead