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H13-311_V3.5 Sample Questions Answers

Questions 4

When using the following code to construct a neural network, MindSpore can inherit the Cell class and rewrite the __init__ and construct methods.

Options:

A.

TRUE

B.

FALSE

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Questions 5

What are the application scenarios of computer vision?

Options:

A.

Video action analysis

B.

Image search

C.

Smart albums

D.

Voice navigation

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Questions 6

Which of the following are general quantum algorithms?

Options:

A.

HHL algorithm

B.

Shor algorithm

C.

Grover algorithm

D.

A* search algorithm

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Questions 7

The global gradient descent, stochastic gradient descent, and batch gradient descent algorithms are gradient descent algorithms. Which of the following is true about these algorithms?

Options:

A.

The batch gradient algorithm can solve the problem of local minimum value.

B.

The global gradient algorithm can find the minimum value of the loss function.

C.

The stochastic gradient algorithm can find the minimum value of the loss function.

D.

The convergence process of the global gradient algorithm is time-consuming.

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Questions 8

Which of the following is the activation function used in the hidden layers of the standard recurrent neural network (RNN) structure?

Options:

A.

ReLU

B.

Softmax

C.

Tanh

D.

Sigmoid

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Questions 9

In a fully-connected structure, a hidden layer with 1000 neurons is used to process an image with the resolution of 100 x 100. Which of the following is the correct number of parameters?

Options:

A.

100,000

B.

10,000

C.

1,000,000

D.

10,000,000

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Questions 10

When you use MindSpore to execute the following code, which of the following is the output?

python

Copy code

x = Tensor(np.array([[1, 2], [3, 4]]), dtype.int32)

x.dtype

Options:

A.

2

B.

mindspore.int32

C.

4

D.

(2,2)

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Questions 11

Which of the following statements is false about feedforward neural networks?

Options:

A.

A unidirectional multi-layer structure is adopted. Each layer includes several neurons, and those in the same layer are not connected to each other. Only unidirectional inter-layer information transmission is supported.

B.

Nodes at each hidden layer represent neurons that provide the computing function.

C.

Input nodes do not provide the computing function and are used to represent only the element values of an input vector.

D.

Each neuron is connected to all neurons at the previous layer.

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Questions 12

Which of the following are common gradient descent methods?

Options:

A.

Batch gradient descent (BGD)

B.

Mini-batch gradient descent (MBGD)

C.

Multi-dimensional gradient descent (MDGD)

D.

Stochastic gradient descent (SGD)

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Questions 13

"AI application fields include only computer vision and speech processing." Which of the following is true about this statement?

Options:

A.

This statement is false. The application fields of AI include computer vision, speech processing, natural language processing, and others.

B.

This statement is false. AI application fields include only computer vision and natural language processing.

C.

This statement is true. Voice data is processed with extremely high accuracy.

D.

This statement is true. Computer vision is the most important AI application.

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Questions 14

In a hyperparameter-based search, the hyperparameters of a model are searched based on the data on and the model's performance metrics.

Options:

A.

TRUE

B.

FALSE

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Questions 15

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

Options:

A.

TRUE

B.

FALSE

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Questions 16

Which of the following are feedforward neural networks?

Options:

A.

Fully-connected neural networks

B.

Recurrent neural networks

C.

Boltzmann machines

D.

Convolutional neural networks

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Questions 17

The training error decreases as the model complexity increases.

Options:

A.

TRUE

B.

FALSE

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Questions 18

Sigmoid, tanh, and softsign activation functions cannot avoid vanishing gradient problems when the network is deep.

Options:

A.

TRUE

B.

FALSE

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Exam Code: H13-311_V3.5
Exam Name: HCIA-AI V3.5 Exam
Last Update: Oct 30, 2024
Questions: 60
$56  $159.99
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