H13-311_V3.5 HCIA-AI V3.5 Exam Free Dumps

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H13-311_V3.5 exam is one for HCIA-AI certification. After earning the certification, you can understand the AI development history, Huawei Ascend AI system, Huawei full-stack all-scenario AI strategy, cutting-edge AI applications, and algorithms related to traditional machine learning and deep learning. There are 60 Single-answer Question, Multiple-answer Question, True or false, Short Response Item, Drag and Drop Item in real Huawei H13-311_V3.5 exam, and you have 90 minutes to answer all the questions. The required passing score is 600. The available languages are Chinese and English. We provide the latest HCIA-AI V3.5 H13-311_V3.5 exam dumps, which can ensure you pass. Free HCIA-AI V3.5 H13-311_V3.5 exam dumps are available below.

Page 1 of 13

1. Faced with the challenge of achieving efficient distributed training for ultra-large-scale models, MindSpore is handled as?

Automatic parallel

Serial

Manual parallel

2. Which of the following is not the difference between Python 2 and Python 3?

Unicode

import

xrange

3. Which of the following options is not central to linear algebra?

Probability theory

Linear transformation

Matrix theory

Vector space

4. The Python dictionary is widely identified by "{}". and the internal data consists of the key and its corresponding value

True

False

5. In the process of training the neural network, we use the gradient descent method to continuously update which value, which makes the loss Function minimization?

Number of samples

Eigenvalues

Hyperparameter

parameter

6. Huawei Machine learning Service MLS MLS is a one-stop platform that supports the entire process of data analysis.

Which of the following is not a feature of MLS?

A rich library of machine learning algorithms.

machine learning program is intuitive and easy to use.

Distributed and scalable big data computing engine.

Support for the R language but does not support the Python language

7. GBDT Compared with the random forest algorithm, which of the following statements is wrong?

GBDT Algorithm is easier to underfit than random forest

Random forest is calculated in parallel, while GBDT Can't

GBDT Algorithm is easier to overfit than random forest

GBDT And random forest are built on CART Based on the tree

8. The following code was used when compiling the model: model.compile(optimizer='Adam,loss='categorical.crossentropy',metrics=[tf.keras.metrics.accuracy]), currently using evaluate

When the method evaluates the model, which of the following indicators will be output? (Multiple choice)

accuracy

categorical_ 1oss

loss

categorical accuracy

9. According to Huawei Cloud EI Intelligent platform, which of the following solutions can be provided? (Multiple choice)

Crowd statistics program

Policy query scheme based on knowledge graph

Vehicle identification scheme

Intrusion recognition scheme

10. Which of the following does not belong to long-term memory LSTM (long Short・Term Memory) network architecture?

Memory door

Forget the door

Input door

Output door

Page 2 of 13

11. Functions are well-organized, non-reusable code segments used to implement a single, or associated Function.

True

False

12. Which of the following options is not the Tensorflow build process?

Building a calculation chart

Input tensor

Generate a session

Update weights I Right Answers)

13. Artificial intelligence is the research and development of theories, methods and application systems used to simulate, extend and expand human intelligence Of a new technological science.

TRUE

FALSE

14. TensorF1ow Which of the following companies first developed?

Oracle

Facebook

Nvidia

Google

15. In Huawei Cloud El Enterprise Intelligence, which basic platform services are included? (Multiple Choice)

Machine learning

Deep learning

Graph engine

Batch processing

16. The activation function plays an important role in the neural network model learning and understanding of very complex problems. The following statement about the activation function is correct.

Activation functions are linear functions

Activation functions are non-linear functions

The activation function is partly a nonlinear function, partly a linear function

Most of the activation functions are nonlinear functions, and a few are linear functions

17. PyTorch Which of the following functions does not have?

Inline keras

Support dynamic graph

Automatic derivative

GPU accelerate

18. What is wrong description of the Python module?

The Python module is a Python file that ends with .py and contains Python object definitions and Python statements.

The Python module allows you to logically organize your Python code snippets.

Python modules can define functions classes and variables but the module does not contain executable code

Assigning relevant code to a module can make your code better and easier to understand.

19. What are the commonly used activation functions? (Multiple Choice)

sigmoid

tanh

relu

danish

20. What are the Python language data types? (Multiple Choice)

numbers

string

list

tuple

dictionary

Page 3 of 13

21. When the voice recognition service is successfully called, which field is the recognition result stored in?

result

content

data

text

22. What does factors that promote the development of artificial intelligence not include?

Big data

Computing ability

Algorithm theory

Block chain

23. The image data of the passport recognition service is not needed base64 Coded.

TRUE

FALSE

24. The loss function of logistic regression is the cross-entropy loss function.

TRUE

FALSE

25. Pytorch Which company launched it first?

Baidu

Google

Facebook

Huawei

26. It is fine to pass in only one image when calling the face comparison service.

TRUE

FALSE

27. Which of the following options is not the- session mode used by Tensorflow?

Explicitly call the session to generate function

Explicitly call the session to close function

Through the Python context manager

Multiple POST queries

28. twenty two.Among machine learning algorithms, which of the following is not unsupervised learning?

GMM

Xgboost

Clustering

Association rules

29. Which of the following is not included in the recurrent neural network usage scenario?

Machine translation

Speech recognition

Image style migration

Text generation

30. What are the characteristics of Python code? (Multiple Choice)

leg1bil1ty

Simpl1c1ty

Rapidity

Scalab1hty

Page 4 of 13

31. In a convolutional neural network, different layers have different functions.

Which of the following layers can play the role of dimensionality reduction? (Multiple choice)

Input layer

Fully connected layer

Convolutional layer

Pooling layer

32. After the data has completed the feature engineering operation, in the process of constructing the model, which of the following options is not a step in the decision tree construction process?

Pruning

Feature selection

Data cleaning

Decision tree generation

33. Which method is not supported in TensorFlow to define variables?

Random number

Constant

Calculated from the initial values of other variables

null

34. Which of the following descriptions about the Recurrent Neural Network (RNN) is correct?

Can be used to process sequence data.

Cannot process variable length sequence data.

Unlike convolutional neural networks. parameters of RNN cannot be shared

The units above the hidden layer are not associated With each other.

35. In order for a machine to be intelligent, it must be knowledgeable. Therefore, there is a research field in artificial intelligence. which mainly studies how computers automatically acquire knowledge and skills to achieve self-impr011emenL

What is the branch of this research called?

Expert system

Machine learning

Neural Network

Natural language processing

36. TensorFlow only supports Python and R language

True

False

37. The naive Bayes algorithm does not require independent and identical distribution among sample features.

TRUE

FALSE

38. What are the scenarios or industries that are suitable for using Python? (Multiple Choice)

Artlfic1al intelligence

web development

Game development D Hardware development

39. Which is wrong with the Python module time introduction method?

import time

from time import *

import time as t

from time

40. Huawei's chip support HUAWEI HiAI Which module of?

HiAI Engine

HiAI Foundation

HiAI Framework

HiAI Service

Page 5 of 13

41. There are a lot of data generated during the training of the neural network.

What mechanism does TensorFlow use to avoid excessive input data?

Client

feed

placeholder

fetch

42. The optimizer is an important part of training neural networks.

The purpose of using the optimizer does not include which of the following:

Speed up algorithm convergence

Reduce the difficulty of manual parameter setting

Avoid overfitting

Avoid local extremes

43. The TensorFlow framework does not support Windows systems.

True

False

44. The following is the correct difference between machine learning algorithms and traditional rule-based methods? (Multiple choice)

Traditional rule-based methods, in which the rules can be explicitly clarified manually

Traditional rule-based methods use explicit programming to solve problems

The mapping relationship of the model in machine learning is automatically learned

The mapping relationship of the model in the machine learning institute must be implicit

45. In machine learning, what input the model needs to train itself and predict the unknown?

Manual procedure

Neural Networks

Training algorithm

historical data

46. Traffic agent can achieve () Hour full time/Global traffic awareness?

7×24

5×24

5×12

7×12

47. In the process of training the neural network, our goal is to keep the loss function reduced.

Which of the following methods do we usually use to minimize the loss function?

Gradient descent

Dropout

Cross-validation

Regularization

48. Deflated AI The logical architecture of the processor does not include which of the following options?

DVPP

GPU

AI Calculation engine

Chip system control CPU

49. HUAWEI HiAI Engine Can easily combine multiple AI Ability and App integrated.

TRUE

FALSE

50. What is the subject of artificial intelligence?

Mathematics and Physiology

Psychology and Physiology

Linguistics

Comprehensive mterd1sc1pl1nary and marginal d1sc1phnes

Page 6 of 13

51. Numerical calculation refers to the method and process of effectively using the digital computer to solve the approximate problem of mathematical problems, and the discipline consisting of related theories.

Which of the following processes are involved in solving actual problems with a computer? (Multiple Choice)

Know the actual problem

Mathematical model

Numerical calculation method

Programm1ng

Computer calculation results

52. What people say about neural networks is wrong?

As the number of hidden layers of the neural network increases, the classification ability of the model gradually weakens

The limitation of a single-layer perceptron is that it cannot solve the XOR problem

The feedforward neural network can be represented by a directed acyclic graph

There is no connection between neurons in the same layer of the feedforward neural network

53. Which of the following conditions is not a condition that n-fold bernoulli trials needs to meet?

Each test was repeated under the same conditions.

There are only two possible outcomes for each trial, i.e. event A occurs and event A does not occur.

Each test itself is obeying normal distribution

The results of each trial are independent of each other.

54. The number or matrix is stored in the tensor

True

False

55. SVM What are the commonly used kernel functions in? (Multiple choice)

Gaussian kernel function

Polynomial kernel function

Sigmiod Kernel function

Linear kernel

56. Machine Learning Service is a data mining and analytics platform service that helps users quickly discover data patterns and build predictive models through machine learning techniques and deploy them as predictive analytics solutions

True

False

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

Convolutional layer

Pooling layer

Loop layer

Fully connected layer

58. If a model has a large deviation on the test set and a small variance, it means that the model?

Overfitting

May be overfitting may be underfitting

Just fit

Underfitting

59. In the face search service, if we want to delete a certain face set, we can use this code: firs_cliet.get_v2().get_face_set_service().delete_face_set("**"), among them "**" is to fill in the actual face set name.

TRUE

FALSE

60. Jobs that are repetitive and require weak social skills are the easiest to be AI Replaced work.

TRUE

FALSE

Page 7 of 13

61. Regular term can also be added to logistic regression to avoid overfitting.

TRUE

FALSE

62. What is in the category of artificial intelligence? (Multiple choice)

Action

Perception

Cognition

None of the above

63. The continue statement in the Python language is used to jump out of this loop and then continue to execute the next round of statements.

True

False

64. enter 32*32 Image with size 5*5 The step size of the convolution kernel is 1 Convolution calculation, output image Size is:

28*23

28*28

29*29

23*23

65. Which of the following is not MindSpore common Operation?

signal

math

array

66. The current technology application directions of artificial intelligence mainly include? (Multiple choice)

Natural language processing

Control System

Computer vision

Speech Recognition

67. In TensorFlow, data is represented in the form of tensors and calculation charts.

True

False

68. What are the conditions for m row n column matrix A and p row q column matrix B to be multiplied?

m=p. n=q

n=p

m=n

p=q

69. The following about the general form identification service returned type The field statement is correct? (Multiple choice)

type Representative text recognition area type

type for text Time represents the text recognition area

type Representative form type

type for table Time represents the form recognition area

70. Which of the following are the characteristics of the Python language? {Multiple choice)

Explanatory

Process oriented

Object-oriented

Dynamic data type

Page 8 of 13

71. TensorFlow The data type used is?

Scalar

Vector

Tensor

Matrix

72. TensorFlow2.0 middle Keras The three main advantages of the interface are user-friendly, modular and Combination, easy to expand.

TRUE

FALSE

73. Vector group a1=(1, 1, 1), a2=(0,2.5), a3=(1.3,6), which of the following options is correct?

Linear correlation

Linear independence

aHa2+a3=0

2a1+a2+a3=0

74. What does not belong to supervised learning?

Logistic regression

Support vector machine

Decision tree

Princi1pal component analysis

75. Facing industry research and full scenarios AI The huge gap between applications, MindSpore Bridging the application gap to help inclusiveness AI Of technological innovation does not include which of the following?

New ways of collaboration

New programming language

New programming paradigm

New execution mode

76. Tensorflow is the second generation of artificial intelligence learning system developed by Google based on ( ).

DistBelief

PaleyFunction

ConvexOne

Infinity

77. When training the network, we often encounter many problems. For the problem of gradient disappearance, we can alleviate the problem by choosing which of the following functions to use?

Softsign function

Relu function

tanh function

Sigmoid function

78. Which is the correct description of the python creation function? (Multiple choice}

The function created starts with the def keyword followed by the function name and parentheses.

The parameters need to be placed in parentheses

The function content starts with a colon and needs lo be indented (Right Answers}

Return the result with return and the function ends.

79. Recurrent neural networks can capture dynamic information in serialized data.

TRUE

FALSE

80. AI Chips are divided into business applications and can be divided into? (Multiple choice)

training

GPU

Model building

reasoning

Page 9 of 13

81. Which of the following statements about passport recognition services are correct? (Multiple choice)

country_code Country code representing the country where the passport was issued

nationality Nationality of representative holder

passport_number Representative passport number

confidence Confidence information of related fields. The greater the confidence, the higher the reliability of the corresponding field identified this time. In a statistical sense, the greater the confidence, the higher the accuracy

82. Which of the following is not a module in the Tensorflow library?

tf.nn

tf. layers

tf boost

tf.contrib

83. Corvolutional neural networks are more suitable for dealing with speech recognition problems

True

False

84. Which of the following activation functions are prone to vanishing gradient problems? (Multiple choice)

ReLU

Softplus

Tanh

Sigmoid

85. Which of the following products is related to artificial intelligence? (Multiple Choice)

Alpha Go

Self-driving

Voice input

Huawei Mate mobile phone

86. In the process of deep learning model training, what are the common optimizers? (Multiple choice)

Adam

Adagrad

SGD

Momentum

87. What model is not a cyclic neural network?

RNN

LSTM

GBOT

GRU

88. Huawei Ascend AI Chip is NPU (Neural network processor) One of the typical representatives.

TRUE

FALSE

89. Linear algebra is a branch of algebra that deals with linear problems. The linear relationship is that the relationship between exponential objects is expressed in ( ) times form?

90. The model composed of machine learning algorithms cannot represent the true data distribution function on a theoretical level. Just approach it.

TRUE

FALSE

Page 10 of 13

91. X, Y are random variables, C is a constant, the nature of the difference in the following options which is wrong? (Multiple choice)

D(C)=O

D(X+ Y)=D(X)+D(Y)

D(CX)=C'C'D()()

D(XY)=D(X)D{Y)

92. Which of the following does not belong to automatic hyperparameter optimization algorithm?

Grid search

Random gradient descent

Random search

Model-based hyper parameter optimization

93. The following are the description of the distribution function. distribution law. and density function of random variables. which is incorrect?

Distribution law can only describe the value rule of discrete random variables

The density function can only describe the value rule of continuous random variables

Discrete random variables have no d1slribulion function

Distribution function describes the value rule of random variables

94. Python is a fully object-oriented language.

Which of the following options belong to the Python object? (Multiple Choice)

Function

Module

Number

Character string

95. The following options do not belong to the scope of Huawei's full-stack solution are?

Application enable

Edge computing

Open source framework

Chip enable

96. In which year was the first introduction of "artificial intelligence"?

1946

1960

1916

1956

97. Feature is the dimension that describes the characteristics of the sample.

Regarding its interpretability in traditional machine learning and deep learning, the following statement is correct:

Features are interpretable in traditional machine learning, but weak in deep learning

Features are weak in traditional machine learning, but strong in deep learning

Features are weak in interpretability in traditional machine learning and deep learning

Features are interpretable in traditional machine learning and deep learning

98. Which of the following is not a specific technology of artificial intelligence?

Knowledge map

Machine translation

Riemann geometry

Semantic understanding

99. What are the application scenarios for the break statement in the Python language? (Multiple Choice)

Any Python statement

while loop statement

for loop statement

Nested loop statement

100. Artificial intelligence is a new technical science that studies and develops theories, methods and application systems for simulating, extending and extending human intelligence. It is one of the core research areas of machine learning.

True

False

Page 11 of 13

101. The loss function reflects the error between the target output and actual output of the neural network.

The commonly used loss function in deep learning is:

Exponential loss function

Mean square loss function

Log loss function

Hinge Loss function

102. Which of the following is an image label service URI?

/v1.0/image/recognition

/v1.0/image/celebrity-recognition

/v1.0/image/recapture-detect

/v1.0/image/tagging

103. Convolutional neural networks are more suitable for image recognition problems than cyclic neural networks.

True

False

104. In neural networks, weights are often shareD.

Which of the following neural networks will share weights? (Multiple choice)

sensor

Convolutional Neural Network

Fully connected neural network

Recurrent neural network

105. Python authors deliberately design very restrictive grammars that make bad programming habits (such as the next line of if statement not indented to the right) cannot be compiled

True

False

106. Which of the following items are included in the results returned when the face search service is successfully called?

Searched face similarity

Searched faces id

Searched face position

Searched face number

107. tf.keras.datasets Can view keras The built-in data set.

TRUE

FALSE

108. TensorFlow2.0 of keras.preprocessing The role is?

keras Data processing tools

keras Built-in optimizer

keras Model deployment tool

Keras Generative model tool

109. HiAI Mobile computing platform provides rich upper-level functional services API, Can run efficiently on mobile devices.

TRUE

FALSE

110. In a neural network, knowing the weight and deviations of each neuron is the most important step. If you know the exact weights and deviations of neurons in some way, you can approximate any function

What is the best way to achieve this?

Random assignment, pray that they are correct

Search for a combmat1on of weight and deviation until the best value 1s obtained

Assign an initial value to iteratively update weight by checking the difference between the best value and the initial

The above is not correct

Page 12 of 13

111. What are the mainstream deep learning open source tools? (Multiple choice)

TensorFlow

Caffe

Torch

Theano

Scikit..Jeam

112. Which of the following options belong to Tensorflow concept? (Multiple Choice)

Tensor

Variables

Placeholder

Operation

Conversation

113. The following evaluation indicators belonging to the regression algorithm are?

Recall rate

Confusion matrix

Mean square error

Accuracy

114. The Python list can be identified by ‘[]”, and the default index of the first element from left to right is 1.

True

False

115. What is wrong description of the normal distribution?

In natural phenomena and social phenomena, many random variables obey or approximate a normal distribution.

The normal distribution lakes the maximum value at the mean

The larger the standard deviation the steeper the normal d1stribuhon curve

The larger the standard deviation, the slower the normal distribution curve.

116. The Python dictionary is identified by “{}”, and the internal data consists of the key and its corresponding value.

True

False

117. Which of the following are solutions for the Huawei Cloud El industry scenario? (Multiple Choice)

Intelligent Logistics

Intelligent Water

Intelligent transportation

Intelligent Finance

Intelligent manufacturing

118. Self-encoder is an unsupervised learning algorithm

True

False

119. Tensor Yes MindSpore The storage component of the data.

TRUE

FALSE

120. Which of the following options is not a tensor attribute?

name (Logo)

shape (Dimensionality)

type (Type)

node (Node)

Page 13 of 13

121. On the premise of ensuring data privacy and security, federated learning utilizes different data sources to cooperatively train models to improve breakthroughs in data bottlenecks.

TRUE

FALSE

122. The following description of machine learning is correct?

Deep learning is a branch of machine learning

Deep learning and machine learning are mutually inclusive

Deep learning and machine learning are both artificial intelligence but have no relationship to each other

None of the above

123. The following about the standard RNN Model, the correct statement is?

There is no one-to-one model structure

Do not consider the time direction when backpropagating

There is no many-to-many model structure

There will be a problem of attenuation of long-term transmission and memory information

124. None of the following options TensorFlow2.0. The supported operators are:

pow

125. The face detection service will report an error when there is no face in the test image.

TRUE

FALSE

126. Which of the following steps in deep learning are automatically completed by the model? (Multiple choice)

Model training

Feature selection

Analysis and positioning task

Feature extraction

127. About the image content review service returned when the call is successful suggestion Field, the correct statement is? (Multiple choice)

pass Representative does not contain sensitive information, passed

review the representative needs a manual review

suggestion The field represents whether the test passed

block Representative contains sensitive information and does not pass

128. Which of the following are the elements of artificial intelligence? (Multiple choice)

Algorithm

Computing power

Data

Scene

H13-311_V3.5 HCIA-AI V3.5 Exam Free Dumps

H13-311_V3.5 HCIA-AI V3.5 Exam Free Dumps

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