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Huawei H13-311_V3.0 HCIA-AI V3.0 Exam Practice Test

Demo: 55 questions
Total 369 questions

HCIA-AI V3.0 Questions and Answers

Question 1

Which of the following description 1s wrong about the image recognition cloud service?

Options:

A.

The service identifies specific objects such as skyscrapers, buildings, and ships.

B.

The service can also identify the sea, city, port and other scenes.

C.

The service can perform semantic analysis on the content in the image to extract labels with specific abstract meanings

D.

The service can provide object and scene labels and can also provide more conceptual labels.

Question 2

The following statement about recurrent neural networks is wrong?

Options:

A.

Recurrent neural network can be unfolded according to the time axis

B.

LSTM Unable to solve the problem of vanishing gradient

C.

LSTM It is also a recurrent neural network

D.

Recurrent neural network can be abbreviated as RNN

Question 3

Which of the following activation functions are prone to vanishing gradient problems?

Options:

A.

ReLU

B.

Softplus

C.

Tanh

D.

Sigmoid

Question 4

What people say about neural networks is wrong?

Options:

A.

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

B.

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

C.

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

D.

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

Question 5

The word recognition in the speech recognition service refers to the synchronous recognition of short speech. Upload the entire audio at once, and the recognition result will be returned in the response.

Options:

A.

TRUE

B.

FALSE

Question 6

From the labeled historical data, we can predict that the retail sales of the next quarter will be in 20-30 Wan still 30-40 Ten thousand", What is the problem?

Options:

A.

Regression problem

B.

Rule problem

C.

Classification problem

D.

Clustering problem

Question 7

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?A. Number of samples

B. Eigenvalues

C. Hyperparameter

D. parameter

Options:

Question 8

Grid search is a method of parameter adjustment.

Options:

A.

TRUE

B.

FALSE

Question 9

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?

Options:

A.

1

B.

2

C.

3

D.

4

Question 10

Which of the following are AI Subfield?

Options:

A.

Machine learning

B.

Computer vision

C.

Speech Recognition

D.

Natural language processing

Question 11

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

Options:

A.

True

B.

False

Question 12

When training the network of God, we often encounter many problems. For the problem of vanishing gradient, we can choose to make. Which of the following functions to alleviate the problem?

Options:

A.

Relu function

B.

Sigmoid function

C.

tanh function

D.

Softsign function

Question 13

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

Options:

A.

Data governance

B.

AI market

C.

Visual workflow

D.

Automatic learning

Question 14

The test error will keep getting smaller as the complexity of the model increases.

Options:

A.

TRUE

B.

FALSE

Question 15

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

Options:

A.

m=p. n=q

B.

n=p

C.

m=n

D.

p=q

Question 16

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?

Options:

A.

A rich library of machine learning algorithms.

B.

machine learning program is intuitive and easy to use.

C.

Distributed and scalable big data computing engine.

D.

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

Question 17

Training error will reduce the accuracy of the model and produce under-fitting. How to improve the model fit? (Multiple choice)

Options:

A.

Increase the amount of data

B.

Feature Engineering

C.

Reduce regularization parameters

D.

Add features

Question 18

The correlation coefficient. also known as the linear correlation coefficient, is used to measure the linear relationship between two variables, which is a real number greater than zero

Options:

A.

True

B.

False

Question 19

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?

Options:

A.

accuracy

B.

categorical_ 1oss

C.

loss

D.

categorical accuracy

Question 20

Which of the following is not an artificial intelligence school?

Options:

A.

Symbolism

B.

StatJst1caltsm

C.

Behaviorism

D.

Connectionism

Question 21

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.

Options:

A.

EI Agent

B.

OBS Object storage service

C.

Cloud database

D.

EI Big data service

Question 22

An e-commerce company has always had problems with official website stalls, poor utilization of network resources, and difficulty in operation and maintenance. Then which of the following can the company use EI

service?

Options:

A.

Park Agent

B.

Traffic Agent

C.

Network agent

D.

Industrial Agent

Question 23

What is the English abbreviation for AI?

Options:

A.

Automatic Intelligence

B.

Artifical Intelligence

C.

Automatic Information

D.

Artifical Information

Question 24

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

Options:

A.

equality constraints

B.

Inequality constraints

C.

Unconstrained conditions

D.

Semi-constraint conditions

Question 25

As the following, what are the Python language design philosophy? (Multiple Choice)

Options:

A.

Beautiful

B.

Expensive

C.

Explicit

D.

Simple

Question 26

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.

Options:

A.

TRUE

B.

FALSE

Question 27

Among the following properties TensorFlow2.0 Does not support creation tensor. The method is?

Options:

A.

zeros

B.

fill

C.

create

D.

constant

Question 28

Vector is a number.

Options:

A.

True

B.

False

Question 29

Among the machine learning algorithms, the following is not an integrated learning strategy?

Options:

A.

Boosting

B.

Stacking

C.

Bagging

D.

Marking

Question 30

About Python correct tuple, which is correct description? (Multiple choice)

Options:

A.

The difference between a list and a tuple is that the elements of the tuple cannot be

B.

The list uses square brackets and the tuple uses parentheses

C.

Tuple creation is very simple just add elements in parentheses and separate them wrth commas

D.

When a tuple contains only one element you need to add a comma after the element

Question 31

Which of the following about the gradient descent is incorrect?

Options:

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.

Question 32

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

Options:

A.

TRUE

B.

FALSE

Question 33

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

Options:

A.

True

B.

False

Question 34

Deep learning is different from machine learning and there are no unsupervised algorithms

Options:

A.

True

B.

False

Question 35

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

Options:

A.

tf.nn

B.

tf. layers

C.

tf boost

D.

tf.contrib

Question 36

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

Options:

A.

Building a calculation chart

B.

Input tensor

C.

Generate a session

D.

Update weights I Right Answers)

Question 37

In neural networks, which of the following methods are used to update the parameters when training the network to minimize the loss function?

Options:

A.

Forward propagation algorithm

B.

Pooling calculation

C.

Convolution calculation

D.

Backpropagation algorithm

Question 38

The meaning of artificial intelligence was first proposed by a scientist in 1950, and at the same time a test model of machine intelligence was proposed Who is this scientist?

Options:

A.

Minsky

B.

Zade

C.

Turing

D.

Von Neumann

Question 39

There are many commercial applications for machine learning services.

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

Options:

A.

Flnancial product recommendation

B.

Predictive maintenance

C.

Telecom customer retention

D.

Retailer grouping

Question 40

With a lot of sales data but no labels, companies want to identify VIP Customer, the following model Suitable?

Options:

A.

Logistic regression

B.

SVM

C.

K-Means

D.

Hierarchical clustering

Question 41

Atlas accelerate AI What processor is used for inference?

Options:

A.

Different 910 processor

B.

Different 310 processor

C.

GPU

D.

FPGA

Question 42

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

Options:

A.

Big data

B.

Computing ability

C.

Algorithm theory

D.

Block chain

Question 43

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.:

Options:

A.

Motherboard

B.

RAM

C.

GPU

D.

CPU

Question 44

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

Options:

A.

Explanatory

B.

Process oriented

C.

Object-oriented

D.

Dynamic data type

Question 45

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

Options:

A.

TRUE

B.

FALSE

Question 46

In deep learning tasks, when encountering data imbalance problems, which of the following methods can we use to solve the problem?

Options:

A.

batch deletion

B.

Random oversampling

C.

Synthetic sampling

D.

Random undersampling

Question 47

From the perspective of technical architecture AI The classification of chips includes?

Options:

A.

FPGA

B.

CPU

C.

GPU

D.

ASIC

Question 48

During application development, which of the following operations is not a typical network definition?

Options:

A.

Network definition

B.

Network execution

C.

Knowledge distillation

D.

Weight initialization

Question 49

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

Options:

A.

True

B.

False

Question 50

GAN is a deep learning model and one of the most promising methods for unsupervised learning in complex distribution in recent years.

Options:

A.

True

B.

False

Question 51

Atlas 200 DK Yiteng 310 The main application of the chip is?

Options:

A.

Model reasoning

B.

Build model

C.

Training model

Question 52

What are the common types of dirty data?

Options:

A.

Malformed value

B.

Duplicate value

C.

Logically wrong value

D.

Missing value

Question 53

What quotation marks can the Python language use? (Multiple Choice)

Options:

A.

Single quotes

B.

Double quotes

C.

Three quotes

D.

Four quotes

Question 54

TensorFlow2.0 not support tensor in GPU with CPU Transfer between each other.

Options:

A.

TRUE

B.

FALSE

Question 55

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

Options:

A.

TRUE

B.

FALSE

Demo: 55 questions
Total 369 questions