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Huawei H13-311_V3.0 H13-311_V3.0 Exam Practice Test

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Total 369 questions

H13-311_V3.0 Questions and Answers

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Question 1

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

Options:

A.

DistBelief

B.

PaleyFunction

C.

ConvexOne

D.

Infinity

Question 2

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

Options:

A.

TRUE

B.

FALSE

Question 3

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

Options:

A.

Linux

B.

Mac OS

C.

Docker

D.

OpenStack

Question 4

TensorF1ow Which of the following companies first developed?

Options:

A.

Oracle

B.

Facebook

C.

Nvidia

D.

Google

Question 5

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

Options:

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 6

In the deep learning network, the backpropagation algorithm is used to find the optimal parameters. What rules are used in the backpropagation algorithm to obtain the derivation layer by layer?

Options:

A.

Chain rule

B.

Cumulative rule

C.

Law of reciprocity

D.

Rule of Normalization

Question 7

The timestamps in the Python language- are represented by how long (in seconds) elapsed from midnight (epoch) on January 1, 1970

Options:

A.

True

B.

False

Question 8

What is wrong description of the Python module?

Options:

A.

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

B.

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

C.

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

D.

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

Question 9

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

Options:

A.

True

B.

False

Question 10

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 11

Python is a fully object-oriented language. Which of the following options belong to the Python object? (Multiple Choice)

Options:

A.

Function

B.

Module

C.

Number

D.

Character string

Question 12

Which of the following are the cloud services provided by Huawei Cloud El Visual Cognition? (Multiple choice)

Options:

A.

Text recognition

B.

Face recognition

C.

Image recognition

D.

Content detection

E.

Image processing

Question 13

Which is wrong with the Python module time introduction method?

Options:

A.

import time

B.

from time import *

C.

import time as t

D.

from time

Question 14

In supervised learning," Those who are near Zhu are red and those who are near Mo are black"Is used to describe which of the following models?

Options:

A.

K-Means

B.

SVM

C.

KNN

D.

Neural Networks

Question 15

All convolution kernels of the same convolution layer in the convolutional neural network are weight-sharing.

TRUE

FALSE

Options:

Question 16

The following evaluation indicators belonging to the regression algorithm are?

Options:

A.

Recall rate

B.

Confusion matrix

C.

Mean square error

D.

Accuracy

Question 17

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

Options:

A.

Boosting

B.

Stacking

C.

Bagging

D.

Marking

Question 18

A scalar k is multiplied by matrix A equal to k and each of the numbers in A is multiplied.

Options:

A.

True

B.

False

Question 19

When dealing with actual problems, when should machine learning be used in the following situations?

Options:

A.

The data distribution itself changes over time, requiring continuous re-adaptation of the program, such as predicting the trend of merchandise sales

B.

The complexity of the rules is low, and the problem is small

C.

Task rules will change over time, such as defect detection on the production line

D.

The rules are very complicated or cannot be described, such as face recognition and voice recognition

Question 20

CPU Mainly through increasing instructions, increasing the number of cores, etc. to improve AI performance.

Options:

A.

TRUE

B.

FALSE

Question 21

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 22

Tensorflow supports multi-TPU cluster computing

Options:

A.

True

B.

False

Question 23

AI Chips are divided into business applications and can be divided into?

Options:

A.

training

B.

GPU

C.

Model building

D.

reasoning

Question 24

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 25

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 26

Which of the following are included in the application scenarios ofTensorflow? (Multiple choice}

Options:

A.

Speech recognition

B.

Face recognition

C.

Image style changes

D.

Autopilot

Question 27

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

Options:

A.

Maximum power

B.

Architecture

C.

Integer precision

D.

7nm Process

Question 28

The pooling layer in the convolutional neural network can reduce the size of the lower layer input. Common pooling is:

Options:

A.

Minimum strata

B.

Product pooling layer

C.

Maximum pooling layer

D.

Average pooling layer

Question 29

Which of the following conditions do the randomized trials need to meet? (Multiple Choice)

Options:

A.

It can be repeated under the same conditions.

B.

There may be more than 011e possible outcome for each trial. and all possible outcomes of the trial can be clarified m advance

C.

All results of the lest cannot be clarified in advance

D.

It Is not possible to determine which result will appear before conducting a test.

Question 30

In the deep learning neural network, the perceptron is the simplest neural network. The correct statement about its structure is:

Options:

A.

There are only two hidden layers

B.

Only one hidden layer

C.

Its network uses Sigmoid Activation function

D.

Its network uses Relu Activation function

Question 31

Which of the following about the description of expectations and variances is incorrect?

Options:

A.

Expectation reflects the average level of random variable values

B.

The variance reflects the degree of deviation between the random variable and its mathematical expectation

C.

Expectation and variance are both numerical characteristics of random variables

D.

The greater the expectation the smaller the variance

Question 32

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

Options:

A.

Grid search

B.

Random gradient descent

C.

Random search

D.

Model-based hyper parameter optimization

Question 33

Computer vision is the study of how to make computers "see".

Options:

A.

TRUE

B.

FALSE

Question 34

Which of the following about the dictionary in Python is correct? (Multiple Choice)

Options:

A.

Each key and its corresponding value need to be separated by ":

B.

Separate the different key-value with

C.

The entire dictionary is included in the

D.

The keys of the d1cl1onary are unique and the data type 1s uniform

Question 35

Which of the following are AI Application areas?

Options:

A.

Wisdom education

B.

Smart City

C.

Smart home

D.

Smart medical

Question 36

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

Options:

A.

TRUE

B.

FALSE

Question 37

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

What mechanism does TensorFlow use to avoid excessive input data?

Options:

A.

Client

B.

feed

C.

placeholder

D.

fetch

Question 38

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

Options:

A.

TRUE

B.

FALSE

Question 39

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

Options:

A.

Intelligent Logistics

B.

Intelligent Water

C.

Intelligent transportation

D.

Intelligent Finance

E.

Intelligent manufacturing

Question 40

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 41

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

Options:

A.

True

B.

False

Question 42

As shown in the figure below, what is the value of the determinant A?

Options:

A.

24

B.

18

C.

-24

D.

0

Question 43

Deep learning is a branch of machine learning

Options:

A.

True

B.

False

Question 44

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

Options:

A.

True

B.

False

Question 45

Deep learning makes it easy to derive simple mathematical functions from a large amount of high-dimensional data to describe complex decision interfaces.

Options:

A.

True

B.

False

Question 46

In neural networks, weights are often shareD. Which of the following neural networks will share weights?

Options:

A.

sensor

B.

Convolutional Neural Network

C.

Fully connected neural network

D.

Recurrent neural network

Question 47

The for loop statement in the Python language can iterate through the items in any sequence.

Options:

A.

True

B.

False

Question 48

What is not the optimization method in deep learning?

Options:

A.

Random gradient descent

B.

Back propagation algorithm

C.

Principal component analysis

D.

Momentum

Question 49

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?

Options:

A.

New ways of collaboration

B.

New programming language

C.

New programming paradigm

D.

New execution mode

Question 50

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

Options:

A.

result

B.

content

C.

data

D.

text

Question 51

What of the following does belong to convolutional neural network (CNN)? (Multiple Choice)

Options:

A.

VGGNet

B.

ResNet

C.

AlexNet

D.

GoogleNet

Question 52

TensorFlow2.0 The mechanism of graphs and conversations has been cancelled in.

Options:

A.

TRUE

B.

FALSE

Question 53

Regarding the face search service, which of the following statements are correct?

Options:

A.

When there is no face set, you need to create a face set first, then add face data, and then search

B.

The size of a face set cannot exceed 10000 Pictures

C.

There is a dedicated interface to delete the specified face set

D.

There is a dedicated interface to delete the face data in a certain face set

Question 54

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

Options:

A.

HiAI Engine

B.

HiAI Framework

C.

HiAI Foundation

D.

HiAI Service

Question 55

The following options belong to keras under estimator The encapsulation methods are?

Options:

A.

Assessment

B.

training

C.

prediction

D.

Output model

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Total 369 questions