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Practice Free H13-311_V3.0 HCIA-AI V3.0 Exam Questions Answers With Explanation

We at Crack4sure are committed to giving students who are preparing for the Huawei H13-311_V3.0 Exam the most current and reliable questions . To help people study, we've made some of our HCIA-AI V3.0 exam materials available for free to everyone. You can take the Free H13-311_V3.0 Practice Test as many times as you want. The answers to the practice questions are given, and each answer is explained.

Question # 6

Artificial intelligence is currently suitable for scenarios with I' known environment, clear objectives, and predictable action ±. Deep learning in the fields of image recognition, speech recognition, translation, etc , artificial intelligence basically has human recognition ability. even surpassing human beings Based on these capabilities. it has been applied to many scenes such as medical care and public safety However, there is still a lack of reasoning and cognition

A.

True

B.

False

Question # 7

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

A.

Algorithm

B.

Computing power

C.

Data

D.

Scene

Question # 8

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?

A.

New ways of collaboration

B.

New programming language

C.

New programming paradigm

D.

New execution mode

Question # 9

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.

A.

Activation functions are linear functions

B.

Activation functions are non-linear functions

C.

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

D.

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

Question # 10

About the image content review service returned when the call is successful suggestion Field, the correct statement is?

A.

pass Representative does not contain sensitive information, passed

B.

review The representative needs a manual review

C.

suggestion The field represents whether the test passed

D.

block Representative contains sensitive information and does not pass

Question # 11

Which of the following capabilities does the genetic knowledge map have?

A.

Auxiliary case diagnosis

B.

Disease prediction and diagnosis

C.

Gene test report generation

D.

Entity query

Question # 12

According to Huawei Cloud EI Intelligent platform, which of the following solutions can be provided?

A.

Crowd statistics program

B.

Policy query scheme based on knowledge graph

C.

Vehicle identification scheme

D.

Intrusion recognition scheme

Question # 13

In the process of deep learning model training, what are the common optimizers?

A.

Adam

B.

Adagrad

C.

SGD

D.

Momentum

Question # 14

What does not belong to supervised learning?

A.

Logistic regression

B.

Support vector machine

C.

Decision tree

D.

Princi1pal component analysis

Question # 15

In a neural network based on connectionism, each node can express a specific meaning.

A.

TRUE

B.

FALSE

Question # 16

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

A.

TRUE

B.

FALSE

Question # 17

The constituent elements of the Python identifier include: numbers, letters, and underscores.

A.

True

B.

False

Question # 18

Which of the following is the computing model of TensorFlow?

A.

Calculation chart

B.

Tensor

C.

Conversation

D.

Variable

Question # 19

HUAWEI HiAI Which module does the face detection in the platform belong to?

A.

HiAI Engine

B.

HiAI Framework

C.

HiAI Foundation

D.

HiAI Service

Question # 20

Which of the following description about Python regular expression is not correct?

A.

Python has added there regular expression module since version 1.5.

B.

re regular expression module gives the Python language all the regular expression functionality.

C.

re regular expressions are powerful tools for working with strings.

D.

re regular expressions can only process string data not numeric data

Question # 21

The training error will continue to decrease as the model complexity increases.

A.

TRUE

B.

FALSE

Question # 22

Add to the loss function of linear regression L1 Regular term, this time the regression is called Lasso return.

A.

TRUE

B.

FALSE

Question # 23

In what year did Huawei officially provide services in the form of cloud services, and combined with more partners to provide richer artificial intelligence practices?

A.

2002

B.

2013

C.

2015

D.

2017

Question # 24

There are many commercial applications for machine learning services.

What are the main business scenarios covered? (Multiple Choice)

A.

Flnancial product recommendation

B.

Predictive maintenance

C.

Telecom customer retention

D.

Retailer grouping

Question # 25

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.

A.

True

B.

False

Question # 26

TensorFlow only supports Python and R language

A.

True

B.

False

Question # 27

Which of the following is an image label service URI?

A.

/v1.0/image/recognition

B.

/v1.0/image/celebrity-recognition

C.

/v1.0/image/recapture-detect

D.

/v1.0/image/tagging

Question # 28

What are the numeric types of Python? (Multiple Choice)

A.

int (integer type)

B.

long (long integer type)

C.

float (floating point type)

D.

complex (complex number type)

Question # 29

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

A.

TRUE

B.

FALSE

Question # 30

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

A.

True

B.

False

Question # 31

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

A.

DistBelief

B.

PaleyFunction

C.

ConvexOne

D.

Infinity

Question # 32

In deep learning, if the neural network has a large number of layers, the problem of gradient disappearance is more likely to occur. Strictly speaking, in which of the following links does the sample disappearance problem

occur?

A.

Backpropagation update parameters

B.

Forward the dream and update

C.

Backpropagation calculation result

D.

Forward calculation results

Question # 33

During the two classification process, we can set any category as a positive example.

A.

TRUE

B.

FALSE

Question # 34

The following about KNN Algorithm k The value description is correct?

A.

K The larger the value, the easier the model is to overfit

B.

K The larger the value, the smoother the segmentation surface of the classification

C.

K Value is a hyperparameter

D.

can k Value is set to 0

Question # 35

Which is wrong with the Python module time introduction method?

A.

import time

B.

from time import *

C.

import time as t

D.

from time

Question # 36

The time interval in the Python language is a Hoating-point fraction in seconds

A.

True

B.

False

Question # 37

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.

A.

True

B.

False

Question # 38

What are the common types of dirty data?

A.

Malformed value

B.

Duplicate value

C.

Logically wrong value

D.

Missing value

Question # 39

Which of the following features does Python support? (Multiple choice)

A.

Inheritance

B.

Heavy load

C.

Derived

D.

Multiple inheritance

Question # 40

Ascend among the following options 310 And Shengteng 910 The attributes are the same?

A.

Maximum power

B.

Architecture

C.

Integer precision

D.

7nm Process

Question # 41

The commonly used loss functions in deep learning are?

A.

L1 Loss function

B.

Mean square error loss function

C.

Cross entropy error loss function

D.

Self-declining loss function

Question # 42

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.

A.

TRUE

B.

FALSE

Question # 43

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

A.

TRUE

B.

FALSE

Question # 44

Which of the following steps in deep learning are automatically completed by the model?

A.

Model training

B.

Feature selection

C.

Analysis and positioning task

D.

Feature extraction

Question # 45

Tensor Yes MindSpore The storage component of the data.

A.

TRUE

B.

FALSE

Question # 46

When we describe the house, we usually use the attributes such as residential area, house type, decoration type, etC. If we use plain With Bayes as a model, we assume that there is no relationship between attributes.

A.

TRUE

B.

FALSE

Question # 47

Deep learning neural network training requires a lot of matrix calculations. Generally, we need to use hardware to enable the computer to have parallel computing capabilities. The following hardware devices can provide

parallel computing capabilities.:

A.

Motherboard

B.

RAM

C.

GPU

D.

CPU

Question # 48

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

A.

tf.nn

B.

tf. layers

C.

tf boost

D.

tf.contrib

Question # 49

What are the algorithms supported by Tensorflow? (Multiple Choice}

A.

GNN

B.

ZNN

C.

RNN (Rig ht Answers)

D.

HUT

Question # 50

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

A.

DVPP

B.

GPU

C.

AI Calculation engine

D.

Chip system control CPU

Question # 51

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

A.

Convolutional neural network

B.

Recurrent neural network

C.

Fully connected neural network

D.

All of the above

Question # 52

Which description is wrong about the hyperparameter?

A.

1-typerparameters are parameters that set values before the algorithm begins learning.

B.

Most machine learning algorithms have hyperparameters.

C.

Hyperparameters cannot be modified

D.

The value of the hyperparameter is not learned by the algorithm itself.

Question # 53

TensorF1ow2.0 Can be used to check if it is tensor The methods are?

A.

dtype

B.

isinstance

C.

is_tensor

D.

device

Question # 54

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

A.

Can be used to process sequence data.

B.

Cannot process variable length sequence data.

C.

Unlike convolutional neural networks. parameters of RNN cannot be shared

D.

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

Question # 55

Recurrent neural networks can capture dynamic information in serialized data.

A.

TRUE

B.

FALSE

Question # 56

Which of the following descriptions of the depth feedforward network is correct?

A.

Deep feedforward network 1s a kind of neural network.

B.

The deep feedforward network has only one hidden layer.

C.

The unit on the hidden layer of the deep feedforward network will have countless.

D.

Deep feedforward network 1s used to deal with linear problems.

Question # 57

Which of the following can optimization problem be classified according to the constraints? (Multiple choice)

A.

equality constraints

B.

Inequality constraints

C.

Unconstrained conditions

D.

Semi-constraint conditions

Question # 58

Image label service returned tag There can be more than one.

A.

TRUE

B.

FALSE

Question # 59

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

A.

Tensor

B.

Variables

C.

Placeholder

D.

Operation

E.

Conversation

Question # 60

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

A.

Alpha Go

B.

Self-driving

C.

Voice input

D.

Huawei Mate mobile phone

Question # 61

TensorFlow 2.0 stand by GPU The acceleration is mainly manifested in the parallel operation of the addition, subtraction, multiplication and division of the matrix accelerate.A. TRUE

B. FALSE

Question # 62

Recurrent neural network is different from convolutional neural network, it is better at solving the following problems?

A.

Sequence related issues

B.

Image classification

C.

Image detection

D.

Recommended question

Question # 63

On Huawei Cloud EI Which of the following can be AI Technology is integrated into the application scenarios of all walks of life AI The advantages of technology to improve efficiency and improve experience.

A.

EI Agent

B.

OBS Object storage service

C.

Cloud database

D.

EI Big data service

Question # 64

Which of the following statements about supervised learning is correct?

A.

Decision tree is a supervised learning

B.

Supervised learning cannot use cross-validation for training

C.

Supervised learning is a rule-based algorithm

D.

Supervised learning can be trained without labels

Question # 65

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

A.

Explanatory

B.

Process oriented

C.

Object-oriented

D.

Dynamic data type

Question # 66

Which of the following is not part of the deep learning development framework?

A.

CNTK

B.

Keras

C.

SAFA

D.

MXNet

Question # 67

ModelArts Service and (). The combination of services can easily deploy the model to "end"?

A.

OBS

B.

OCR

C.

ECS

D.

HiLens

Question # 68

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

A.

TRUE

B.

FALSE

Question # 69

Feedforward neural network is a simple neural network, each neuron is arranged hierarchically, it is currently one of the most widely used and fastest growing artificial neural networks. The following statement about

feedforward neural networks is correct:

A.

Neurons with computing power are connected to the upper and lower layers

B.

Its input node has computing power

C.

Connecting neurons in the same layer

D.

Information only along-Pass through

Question # 70

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

A.

Artlfic1al intelligence

B.

web development

C.

Game development

D Hardware development

Question # 71

TensorFlow2.0 of keras.preprocessing The role is?

A.

keras Data processing tools

B.

keras Built-in optimizer

C.

keras Model deployment tool

D.

Keras Generative model tool

Question # 72

Which of the following is not a face recognition technology?

A.

Face search

B.

Face comparison

C.

Face Detection

D.

Remake recognition

Question # 73

GPU Good at computationally intensive and easy to parallel programs.

A.

TRUE

B.

FALSE

Question # 74

The number or matrix is stored in the tensor

A.

True

B.

False

Question # 75

HUAWEI HiAI What are the supported models?

A.

P30

B.

Mate 20

C.

glory V20

D.

iPhone10

Question # 76

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

A.

TRUE

B.

FALSE

Question # 77

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

A.

GMM

B.

Xgboost

C.

Clustering

D.

Association rules

Question # 78

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

A.

Grid search

B.

Random gradient descent

C.

Random search

D.

Model-based hyper parameter optimization

Question # 79

The TensorFlow framework does not support Windows systems.

A.

True

B.

False

Question # 80

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

A.

7×24

B.

5×24

C.

5×12

D.

7×12

Question # 81

Deep learning algorithms can be divided into supervised learning and unsupervised learning.

A.

True

B.

False

Question # 82

Vector is a number.

A.

True

B.

False

Question # 83

The following applications that are not part of the adversarial generation network are?

A.

Text generation

B.

Image generation

C.

Image Identification

D.

Data enhancement

Question # 84

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

A.

Explicitly call the session to generate function

B.

Explicitly call the session to close function

C.

Through the Python context manager

D.

Multiple POST queries

Question # 85

Which of the following are the activation functions of deep learning algorithms?

A.

Sigmoid

B.

ReLU

C.

Tanh

D.

Sin

Question # 86

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

A.

True

B.

False

Question # 87

What is wrong description or backpropagation?

A.

The learning process or the backpropagation algorithm consists of a forward propagation process and a back-propagation process.

B.

The backpropagation algorithm is a learning algorithm suitable for multi-layer neural networks, which is based on the gradient descent method

C.

The backpropagation phase sends training inputs to the network to obtain an stimuli response

D.

until the response of the network to the input reaches the predetermined target range.

Question # 88

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

A.

1946

B.

1960

C.

1916

D.

1956

Question # 89

TensorFlow2.0 of keras.metrics The methods that are not included in the built-in indicators are?

A.

Accuracy

B.

Recall

C.

Sum

D.

Mean

Question # 90

Which of the following description of the number of rows and columns of the matrix is correct?

A.

The number of rows 1s greater than the number of columns

B.

The number of rows 1s equal to the number of columns

C.

The number of rows is less than the number of columns

D.

The number of rows has no relationship with the number of columns.

Question # 91

Which of the following aspects belong to Huawei's full stack AI solution?

A.

Ascend

B.

CANN

C.

ModelArts

D.

MindSpore

Question # 92

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:

A.

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

B.

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

C.

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

D.

Features are interpretable in traditional machine learning and deep learning

Question # 93

K Folding cross-validation refers to dividing the test data set into K Sub-data sets.

A.

TRUE

B.

FALSE

Question # 94

Regarding backpropagation, the following statement is wrong?

A.

Backpropagation can only be used in feedforward neural networks

B.

Backpropagation can be combined with gradient descent algorithm to update network weights

C.

Backpropagation passes through the activation function

D.

Back propagation refers to the back propagation of errors through the network

Question # 95

The Python language can use the "#" at the beginning of a single line of code for code comments .

A.

True

B.

False

Question # 96

What is wrong description of the normal distribution?

A.

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

B.

The normal distribution lakes the maximum value at the mean

C.

The larger the standard deviation the steeper the normal d1stribuhon curve

D.

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

Question # 97

Which of the following are the characteristics of TensorFlow? (Multiple choice)

A.

Open source

B.

Convenience

C.

Mature

D.

Flexible

Question # 98

Ce11 Provides basic modules for defining and performing calculations, Ce11 The object can be executed directly, the following statement is wrong?

A.

__init__,Initialization parameters(Parameter), Submodule(Ce11),operator(Primitive)Equal group Software for initial verification

B.

Construct, Define the execution process. In graph mode, it will be compiled into graphs for execution, and there is no syntax restriction

C.

There's some left optim Commonly used optimizers,wrap Pre-defined commonly used network packaging functions Ce11

D.

bprop (Optional), The reverse of the custom module

Question # 99

According to the definition of information entropy what is the bit entropy of throwing a uniform coin?

A.

0

B.

0.5

C.

1

D.

-1

Question # 100

The matrix produced by the exchange of matrix A rows and columns is called the transpose of A . What are the correct properties of matrix transposition? (Multiple Choice)

A.

(A T ) T = A

B.

(A+ 8) T = AT +BT

C.

(!EA) T = !EAT

D.

(AB} T = A T +BT

Question # 101

Which is not a Python operator?

A.

arithmetic operator

B.

Reasoning operator

C.

Logical operator

D.

Comparison operator

Question # 102

PyTorch All existing versions support Python2 with Python3?

A.

TRUE

B.

FALSE

Question # 103

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

A.

Intelligent Logistics

B.

Intelligent Water

C.

Intelligent transportation

D.

Intelligent Finance

E.

Intelligent manufacturing

Question # 104

The following are the description of the distribution function. distribution law. and density function of random variables.

which is incorrect?

A.

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

B.

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

C.

Discrete random variables have no d1slribulion function

D.

Distribution function describes the value rule of random variables

Question # 105

Code model.fit(mnist.train.inmage,mnist.train.labels.epochs=5)in of epochs Parameter representative?

A.

The entire training set will be trained 5 Times

B.

The entire test set will be tested 5 Times

C.

The entire training set will be divided into 6 Share

D.

The entire training set will be divided into 5 Share

Question # 106

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

A.

TRUE

B.

FALSE

Question # 107

Not supported in the following options TensorFLow2.0 The attributes for dimensional transformation are.

A.

squeeze

B.

reshape

C.

gather

D.

transpose

Question # 108

The following about the general form identification service returned type The field statement is correct?

A.

type Representative text recognition area type

B.

type for text Time represents the text recognition area

C.

type Representative form type

D.

type for table Time represents the form recognition area

Question # 109

Generating a confrontation network is like a game system. The generator generates fake samples, and the discriminator judges whether it is true or false. Our ideal result is?

A.

The generator produces roughly the same samples

B.

The discriminator efficiently distinguishes the true and false samples generated by the generator

C.

The discriminator cannot distinguish the true and false samples generated by the generator

D.

The generator produces different samples

Question # 110

Which of the following is not a way for the TensorFlow program to read data?

A.

Preload data

B.

Feeding data

C.

Read from the file

D.

Write a file format reader

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