AI, Artificial Intelligence, Dump Tests – HCIA Huawei

March 25, 2023

Chapter 1

(True or False) By “all AI scenarios”, Huawei means different deployment scenarios for AI, including public clouds, private clouds, edge computing in all forms, industrial IoT devices, and consumer devices.

true

false

(Multiple-answer question). Which of the following are AI application fields?

Smart household

Smart healthcare

Smart city

Smart education

Chapter 2

(True or false) Gradient descent iteration is the only method of machine learning algorithms.

true

false

(Single-answer question. Which of the following algorithms is not supervised learning?

Linear regression

Decision tree

KNN

K-means

Chapter 3

(True or False).Compared with the recurrent neural network, the convolutional neural network is more suitable for image recognition.

true

false

(True or False) GAN is a deep learning model, which is one of the most promising methods for unsupervised learning of complex distribution in recent years.

true

false

(Single-choice).There are many types of deep learning neural networks. Which of the following is not a deep learning neural network?

CNN

RNN

LSTM

Logistic

(Multi-choice).There are many important “components” in the convolutional neural network architecture. Which of the following are the convolutional neural network “components”?

Activation function

Convolutional kernel

Pooling

Fully connected layer

Chapter 4

(True or False) In TensorFlow 2.x, eager execution is enabled by default.

true

false

(Single-choice). Which of the following statements about tf.keras.Model and tf.keras.Sequential is incorrect when the tf.keras interface is used to build a network model?

tf.keras.Model supports network models with multiple inputs, while tf.keras.Sequential does not.

tf.keras.Model supports network models with multiple outputs, while tf.keras.Sequential does not.

tf.keras.Model is recommended for model building when a sharing layer exists on the network.

tf.keras.Sequential is recommended for model building when a sharing layer exists on the network.

Chapter 5

(Single-choice) In MindSpore, which of the following is the operation type of nn?

Mathematical

Network

Control

Others

Chapter 6

(Single-choice. What are the main applications of Ascend 310?

Model inference

Model training

Model building

Chapter 7

(multiple choice) What are the advantages of the HiAI mobile computing platform?

Comprehensive documents

Source code enabling quick start

Different types of APIs

Various tool chains

Chapter 8

(Multi-choice).Which of the following scenarios can EI be applied to?

Intelligent government

Intelligent city

Intelligent manufacturing

Intelligent finance

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

Automatic parallel
Serial
Manual parallel

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

print
Unicode
import
xrange

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

Probability theory
Linear transformation
Matrix theory
Vector space

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

True
False

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

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

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

The following code was used when compiling the model: model.compile(optimizer=’Adam,loss=’categorical.crossentropy’,metrics=[tf.keras.metrics.accuracy]), currently using evaluateWhen the method evaluates the model, which of the following indicators will be output?

accuracy
categorical_ 1oss
loss
categorical accuracy

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

Crowd statistics program
Policy query scheme based on knowledge graph
Vehicle identification scheme
Intrusion recognition scheme

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

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

True
False

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

Building a calculation chart
Input tensor
Generate a session
Update weights

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

TensorF1ow Which of the following companies first developed?

Oracle
Facebook
Nvidia
Google

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

Machine learning
Deep learning
Graph engine
Batch processing

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

PyTorch Which of the following functions does not have?

Inline keras
Support dynamic graph
Automatic derivative
GPU accelerate

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.

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

sigmoid
tanh
relu
danish

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

numbers
string
list
tuple
dictionary

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

result
content
data
text

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

Big data
Computing ability
Algorithm theory
Block chain

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

TRUE
FALSE

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

TRUE
FALSE

Pytorch Which company launched it first?

Baidu
Google
Facebook
Huawei

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

TRUE
FALSE

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

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

GMM
Xgboost
Clustering
Association rules

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

Machine translation
Speech recognition
Image style migration
Text generation

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

leg1bil1ty
Simpl1c1ty
Rapidity
Scalab1hty

What are the results returned by the if conditional statements in the Python language? (Multiple choice)

TRUE
0
FALSE
null

Which of the following description of the validation set is wrong?

The verification set can coincide with the test set.
The test set can coincide with the training set.
The subset used to pick hyperparameters is called a validation set.
Typically 80% of the training data is used for training and 20% is used for verification.

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

equality constraints
Inequality constraints
Unconstrained conditions
Semi-constraint conditions

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

Explanatory
Process oriented
Object-oriented
Dynamic data type

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

Algorithm
Computing power
Data
Scene

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

Knowledge map
Machine translation
Riemann geometry
Semantic understanding

Which of the following statements about overflow and underflow in numerical calculations is correct? (Multiple choice)

Underflow occurs when the number close to zero is rounded to zero
Overflow occurs when the number close to zero is rounded to zero
Overflow occurs when a large number of levels are approximated as ∞ or -∞
Underflow occurs when a large number of levels are approximated as ∞ or -∞

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

Python has added the re regular expression module since version 1.5.
re regular expression module gives the Python language all the regular expression functionality.
re regular expressions are powerful tools for working with strings.
re regular expressions can only process string data, not numeric data.

In which year was the first introduction of “artificial intelligence”?

1946
1960
1916
1956

Which of the following description about the relationship between the Poisson distribution and the binomial distribution is correct?

The mathematical model of the Poisson distribution and the binomial distribution are both Lagrangian models.
Poisson distribution is an approximation of the binomial distribution when n is very large and p is small.
Poisson distribution has no relationship with binomial distribution
Poisson distribution can replace binomial distribution

Python tuples are identified by “()” and internal elements are separated by “:”.

True
False

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

int (integer type)
long (long integer type)
float (floating point type)
complex (complex number type)

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

What is the English abbreviation for AI?

Automatic Intelligence
Artifical Intelligence
Automatic Information
Artifical Information

There are many commercial applications for machine learning services. What are the main business scenarios covered? (Multiple Choice)

Financial product recommendation
Predictive maintenance
Telecom customer retention
Retailer grouping

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.

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

Principal Component Analysis (PCA) is a statistical method. A set of variables that may be related to each other is transformed into a set of linearly related variables by orthogonal transformation. The converted set of variables is called the principal component.

True
False

The history of robots is not long. In 1959, the United States, Engelberg and Devol made the world’s first generation of industrial robots, and the history of robots really began.
According to the development process of the robot, it is usually divided into three generations, respectively are: (Multiple Choice)

Teaching Reproduction Robot
Robot with sensation
Robots that will think
Intelligent robot

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

Beautiful
Expensive
Explicit
Simple

What are the service categories included in Huawei Cloud EI Enterprise Intelligence? (Multiple Choice)

EI visual cognition
EI online games
EI speech semantics
EI industry scene

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

VGGNet
ResNet
AlexNet
GoogleNet

What is wrong description of the normal distribution?

In natural phenomena and social phenomena, a large number of random variables obey or approximate a normal distribution.
The normal distribution takes the maximum value at the mean.
The larger the standard deviation, the steeper the normal distribution curve.
The larger the standard deviation, the slower the normal distribution curve.

In May 1997, the famous “Human-Machine Wars” final computer defeated Kasparov, the world chess king, with a total score of 3.5 to 2.5. Is this computer called?

Dark blue
Dark green
Ponder
Blue sky

What is wrong description of backpropagation?

The learning process of the backpropagation algorithm consists of a forward propagation process and a back propagation process.
The backpropagation algorithm is a learning algorithm suitable for multi-layer neural networks, which is based on the gradient descent method.
The backpropagation phase sends training inputs to the network to obtain an stimuli response.
The backpropagation algorithm is mainly repeated by two loops (excitation propagation, weight update) until the response of the network to the input reaches the predetermined target range.

Which of the following options is not a reason for traditional machine learning algorithms to promote the development of deep learning?

Dimensional disaster
Local invariance and smooth regularization
Manifold learning
Feature Engineering

The commonly used functions for mathematical operations in Python are basically in the math module and the cmath module.

True
False

What does not belong to supervised learning?

Logistic regression
Support vector machine
Decision tree
Principal component analysis

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AI, Artificial Intelligence, Dump Tests – HCIA Huawei

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