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18/12/2021 14:29 HCIA-AI v3.0
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E-mail *
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Jonathan dos Santos Silva
jonathan.21530@pmc.fatcursos.org.br
Questões 35 de 40 pontos
HCIA-AI v3.0 Total de pontos 35/40
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HU-IA 08 N Seg-Qua
Nome completo *
E-mail da Fundação FAT *
Este é o e-mail que você utiliza no TEAMS para entrar na aula, ele possui um domínio
@pmc.fatcursos.org.br
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Automatic parallel
Serial
Manual parallel
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Manifold learning
Dimensional disaster
Local invariance and smooth regularization
Feature Engineering
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GMM
Clustering
Association rules
Xgboost
10. Faced with the challenge of achieving efficient distributed training for
ultra-large-scale models, MindSpore is handled as? *
26. Which of the following options is not a reason for traditional machine
learning algorithms to promote the development of deep learning? *
Among machine learning algorithms, which of the following is not
unsupervised learning? *
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False
True
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True
False
Resposta correta
True
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The Python module is a Python file that ends with .py and contains Python object
definitions and Python statements.
Assigning relevant code to a module can make your code better and easier to
understand.
Python modules can define functions, classes, and variables, but the module
does not contain executable code.
The Python module allows you to logically organize your Python code snippets.
11. Python tuples are identified by "()" and internal elements are separated
by ":". *
27. The commonly used functions for mathematical operations in Python
are basically in the math module and the cmath module. *
16. What is wrong description of the Python module? *
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Reduce the difficulty of manual parameter setting
Speed up algorithm convergence
Avoid overfitting
Avoid local extremes
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Teaching Reproduction Robot
Robot with sensation
Intelligent robot
Robots that will think
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TRUE
FALSE
The optimizer is an important part of training neural networks. The
purpose of using the optimizer does not include which of the following: *
19. 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) *
TensorFlow It is an end-to-end open source platform for machine
learning and deep learning. *
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Resposta correta
TRUE
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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.
The learning process of the backpropagation algorithm consists of a forward
propagation process and a back propagation process.
Resposta correta
The backpropagation algorithm is a learning algorithm suitable for multi-layer neural
networks, which is based on the gradient descent method.
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Robots that will think
Robot with sensation
Intelligent robot
Teaching Reproduction Robot
25. What is wrong description of backpropagation? *
According to the development process of the robot, it is usually divided
into three generations, respectively are: (Multiple Choice) *
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Financial product recommendation
Retailer grouping
Telecom customer retention
Predictive maintenance
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int (integer type)
complex (complex number type)
long (long integer type)
float (floating point type)
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Psychology and Physiology
Linguistics
Comprehensive interdisciplinary and marginal disciplines
Mathematics and Physiology
15. There are many commercial applications for machine learning
services. What are the main business scenarios covered? (Multiple
Choice) *
12. What are the numeric types of Python? (Multiple Choice) *
30. What is the subject of artificial intelligence? *
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xrange
import
Unicode
print
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accuracy
categorical accuracy
loss
categorical_ 1oss
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Kmeans
Density clustering
Hierarchical clustering
2. Which of the following is not the difference between Python 2 and
Python 3? *
9. 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? *
What are the common clustering algorithms? *
18/12/2021 14:29 HCIA-AI v3.0
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Spectral clustering
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EI industry scene
EI visual cognition
EI speech semantics
EI online games
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True
False
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parameter
Eigenvalues
Number of samples
Hyperparameter
21. What are the service categories included in Huawei Cloud EI
Enterprise Intelligence? (Multiple Choice) *
8. The Python dictionary is widely identified by "{}". and the internal data
consists of the key and its corresponding value *
3. 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? *
18/12/2021 14:29 HCIA-AI v3.0
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LSTM
GRU
GBOT
RNN
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Dark green
Dark blue
Ponder
Blue sky
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Automatic Intelligence
Automatic Information
Artifical Intelligence
Artifical Information
What model is not a cyclic neural network? *
24. 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? *
14. What is the English abbreviation for AI? *
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Support vector machine
Principal component analysis
Decision tree
Logistic regression
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ResNetcorrect
AlexNetcorrect
VGGNet
GoogleNetcorrect
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Read from the file
Write a file format reader
Preload data
Feeding data
28. What dose not belong to supervised learning? *
22. What of the following does belong to convolutional neural network
(CNN)? (Multiple Choice) *
Which of the following is not a way for the TensorFlow program to read
data? *
18/12/2021 14:29 HCIA-AI v3.0
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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
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Memory door
Forget the door
Output door
Input door
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Client
fetch
feed
4. 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? *
7. Which of the following does not belong to long-term memory LSTM
(long Short·Term Memory) network architecture? *
13. There are a lot of data generated during the training of the neural
network. What mechanism does TensorFlow use to avoid excessive input
data? *
18/12/2021 14:29 HCIA-AI v3.0
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feed
placeholder
…/1
Feature extraction
Feature selection
Model training
Analysis and positioning task
Nenhuma resposta correta
1/1
Vector space
Probability theory
Linear transformation
Matrix theory
1/1
Simple
Expensive
Explicit
Which of the following steps in deep learning are automatically
completed by the model? *
1. Which of the following options is not central to linear algebra? *
20. As the following, what are the Python language design philosophy?
(Multiple Choice) *
18/12/2021 14:29 HCIA-AI v3.0
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Beautiful
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True
False
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The normal distribution takes the maximum value at the mean.
The larger the standard deviation, the steeper the normal distribution curve.
In natural phenomena and social phenomena, a large number of random variables
obey or approximate a normal distribution.
The larger the standard deviation, the slower the normal distribution curve.
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Vehicle identification scheme
Crowd statistics program
Intrusion recognition scheme
Policy query scheme based on knowledge graph
18. 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. *
23. What is wrong description of the normal distribution? *
6. According to Huawei Cloud EI Intelligent platform, which of the
following solutions can be provided? *
18/12/2021 14:29 HCIA-AI v3.0
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True
False
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Machine learning
Computer Vision
Speech recognition
Natural language processing
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GBDT And random forest are built on CART Based on the tree
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
Resposta correta
GBDT Algorithm is easier to overfit than random forest
29. Functions are well-organized, non-reusable code segments used to
implement a single, or associated function. *
What research areas does artificial intelligence have? (Multiple choice) *
5. GBDT Compared with the random forest algorithm, which of the
following statements is wrong? *
18/12/2021 14:29 HCIA-AI v3.0
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Through the Python context manager
Multiple POST queries
Explicitly call the session to close function
Explicitly call the session to generate function
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Industry sector services
General domain services
Integration services
Basic platform services
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17. Which of the following options is not the session mode used by
TensorFlow? *
Huawei Cloud El builds enterprise intelligence services based on three-
tier services.Which of the following options does not belong to Layer 3
services? *
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