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WorksheetsTeste HCIA-AI T1
Total questions: 86
Worksheet time: 2hrs 9mins
Name
Class
Date
1.
According to the definition of information entropy, what is the bit entropy of throwing a uniform coin? (Simple Choice)
a)
0
b)
0.5
c)
1
d)
-1
2.
Which of the following is not a feature of the Atlas 500 AI edge stations? (Simple Choice)
a)
Strong computing
b)
Easy deployment
c)
High energy consumption
d)
Cloud collaboration
3.
Logical reasoning is a part of AI.
a)
True
b)
False
4.
The HiAI platform only supports the development of Huawei mobile phones.
a)
True
b)
False
5.
In tf.keras, which of the following functions can be used to train models (Simple Choice)
a)
Metrics
b)
fit
c)
Layer
d)
Model
6.
The HiAI mobile computing platform architecture supports various mainstream front-end frameworks, such as TensorFlow and Caffe.
a)
True
b)
False
7.
Which of the following learning methods is most suitable for training machine learning models of chessboard games? (Simple Choice)
a)
Supervised learning
b)
Unsupervised learning
c)
Semi-supervised learning
d)
Reinforcement learning
8.
If a model has a small bias and a large variance on the test set, what is the problem with the model? (Simple Choice)
a)
Underfitting
b)
Overfitting
c)
Just fitting
d)
Overfitting or underfitting
9.
Which of the following network layers does not need to be included in a convolutional neural network? (Simple Choice)
a)
Input layer
b)
Convolutional layer
c)
Pooling layer
d)
Output layer
10.
Python regular expressions are a special sequence of characters that makes it easy to check if a string matches a pattern.
a)
True
b)
False
11.
The HiAI mobile computing platform architecture supports various mainstream front-end frameworks, such as TensorFlow and Caffe.
a)
True
b)
False
12.
Python regular expressions are a special sequence of characters that makes it easy to check if a string matches a pattern.
a)
True
b)
False
13.
Convolutional neural networks are more suitable for dealing with speech recognition problems.
a)
True
b)
False
14.
In some image and voice fields, AI performs better than humans, so artificial intelligence has entered the stage of strong artificial intelligence.
a)
True
b)
False
15.
AI is the core research area of machine learning.
a)
True
b)
False
16.
What is the subject of artificial intelligence? (Simple Choice)
a)
Mathematics and Physiology
b)
Psychology and Physiology
c)
Linguistics
d)
Comprehensive interdisciplinary and marginal disciplines.
17.
Which of the following description about Python regular expression is not correct? (Simple Choice)
a)
Python has added their regular expression module since version 1.5.
b)
The regular expression module gives the Python language all the regular expression functionality.
c)
The regular expressions are powerful tools for working with strings.
d)
The regular expressions can only process string data not numeric data.
18.
Which of the following learning methods is most suitable for training machine learning models of chessboard games? (Simple Choice)
a)
Supervised learning
b)
Unsupervised learning
c)
Semi-supervised learning
d)
Reinforcement learning
19.
HiLens can help small and micro companies realize smart access control
a)
True
b)
False
20.
If a model has a small bias and a large variance on the test set, what is the problem with the model? (Simple Choice)
a)
Underfitting
b)
Overfitting
c)
Just fitting
d)
Overfitting or underfitting
21.
In the Da Vinci Architecture, which of the following computation data types is supported by the vector unit? (Simple Choice)
a)
INT16
b)
BFloat16
c)
FP32
d)
BFIoat32
22.
In the process of training the neural network, which of the following methods is used to update the parameters so as to minimize the loss function? (Simple Choice)
a)
Grid search
b)
Random search
c)
Gradient descent
d)
Least squares method
23.
In TensorFlow, which order of tensors are scalars? (Simple Choice)
a)
Rank-0
b)
Rank-1
c)
Rank-2
d)
Rank-3
24.
In tf.keras, which of the following functions can be used to train models? (Simple Choice)
a)
Metrics
b)
fit
c)
Layer
d)
Model
25.
import numpy as np
n = np.arange(24).reshape(2,-1,2,2)
Which of the following is the return result of n.shape after running the preceding code? (Simple Choice)
a)
(2,3,2,2)
b)
(2,2,2,2)
c)
(2,4,2,2)
d)
(2,6,2,2)
26.
input_shape = (4, 28, 28, 1)
x = tf.random.normal(input_shape)
y = tf.keras.layers.Conv2D(filters=2, kernel_size=3, strides=(1, 1), paddling='valid, activation ='relu',
input shape=input_shape[1:])(x)
print(y.shape)
What is the output of the preceding code? (Simple Choice)
a)
(4.28,28,1)
b)
(4,26,26,2)
c)
(2,28,28,1)
d)
(2,26,26,1)
27.
"Knowledge representation is the unique method of representing knowledge using a set of symbols in a structure that can be understood by computers."
Which of the following is true about this statement? (Simple Choice)
a)
This statement is false. The method of representing knowledge is not unique.
b)
This statement is correct. The coding method of knowledge representation is unique.
c)
This statement is correct. The knowledge representation can support expert systems.
d)
This statement is false. Knowledge representation cannot be used for expert rules or fuzzy inference.
28.
What determines the number of neurons in the input layer of the neural network? (Simple Choice)
a)
Data dimension
b)
Number of data items
c)
Classification number
d)
Number of parameters
29.
What is function of the convolution kernel in a convolutional neural network? (Simple Choice)
a)
Data cleaning
b)
Feature extraction
c)
Data enhacement
d)
Regularization
30.
What operation does "isinstance" represent in TensorFlow 2.0? (Simple Choice)
a)
Determine whether it is numpy
b)
View device information
c)
Determine whether it is Tensor
d)
Merge tensor
31.
When was the Turing Test proposed? (Simple Choice)
a)
1950
b)
1956
c)
1959
d)
1962
32.
When tf.keras is used to build a network model, which of the following statements about tf.keras.Model and tf.keras.Sequential is incorrect? (Simple Choice)
a)
tf.keras.Model supports the multi-input network model. tf.keras.Sequential does not support the multi-input network model.
b)
tf.keras.Model supports the multi-output network model. tf.keras.Sequential does not support the multi-output network model.
c)
If a sharing layer exists on the network, tf.keras.Model is recommended for building a model.
d)
If a sharing layer exists on the network, tf.keras.Sequential is recommended for building a model.
33.
Which of the following determines the upper limit of machine learning? (Simple Choice)
a)
Data
b)
Algorithms
c)
Scenarios
d)
Computing power
34.
Which of the following statements is false about gradient descent algorithms? (Simple Choice)
a)
The global gradient descent is more stable than the stochastic gradient descent (SGD).
b)
When there are too many samples and CPUs are not used for parallel computing, the convergence process of the global gradient descent is fume-consuming.
c)
When GPUs are not used for parallel computing, the mini-batch gradient descent (MBGD) takes less time than the SGD to complete an epoch.
d)
Each time the global descent updates its weight, all training samples need to be calculated.
35.
Which of the following statements is false about machine learning? (Simple Choice)
a)
Model generalization capability: the extent to which a learned model can be applied to new samples, also called robustness.
b)
Error: difference between the prediction of a learned model on a sample and the actual result of the sample. Errors can be classified into training errors and generalization errors.
c)
Underfitting: The training error is large,
d)
Overfitting: The training error is large.
36.
Which of the following statements is false about the running process of the MindArmour subsystem? (Simple Choice)
a)
Configuration policies: Define test policies based on threat vectors and trustworthiness certification requirements and select appropriate test data generation methods.
b)
Fuzzing execution: Generate trusted test data randomly, based on the model coverage and configuration policies.
c)
Evaluation report: Generate an evaluation report based on built-in os user-defined trustworthiness metrics.
d)
Trustworthiness enhancement: Use preset methods to enhance the trustworthiness of Al models.
37.
Which of the following statements is true about rule-based approaches? (Simple Choice)
a)
Rules are obtained through machine learning.
b)
Rule-based approaches use explicit programming to solve problems.
c)
Rule-based approaches use samples for training.
d)
Decision-making rules are complex or difficult to describe.
38.
Which of the following is the correct shape of tensor [[[0,1],[2,3]],[[4,5],[6,7]]? (Simple Choice)
a)
[3,3,2]
b)
[3,2,4]
c)
[2,3,4]
d)
[2,2,2]
39.
Which of the following is the correct shape of tensor [[0,1], [2,3], [4,5]]? (Simple Choice)
a)
(1,6)
b)
(3,2)
c)
(6,1)
d)
(2,3)
40.
Which of the following is the main function of HUAWEI CLOUD GeoGenius? (Simple Choice)
a)
Ecological environment detection
b)
Heat demand forecast
c)
Real-time traffic detection
d)
Traffic incident detection
41.
Which of the following is NOT an application of speech processing? (Simple Choice)
a)
Speech recognition
b)
Text to speech
c)
Voiceprint recognition
d)
Named entity recognition
42.
Which of the following is covered by HUAWEI CLOUD EI Health? (Simple Choice)
a)
Genome
b)
Smart surgery
c)
Patient care
d)
Doctor-patient dispute resolution
43.
Which of the following statements is true about classification and regression models in machine learning? (Simple Choice)
a)
For classification problems, the output variables are discrete values with a limited quantity. For regression problems, the output variables are continuous values.
b)
The cross-entropy loss function is required for both regression and classification problems.
c)
There may be underfitting in both regression and classification problems. Classification models are more prone to underfitting than regression models.
d)
The logistic regression model can be used to predict housing unit prices.
44.
Which of the following is not supported by data management on ModelArts? (Simple Choice)
a)
wide range of data formats
b)
No-manual labeling
c)
intelligent data filtering
d)
Intelligent data analysis
45.
Which of the following statements is true about optimizers? (Simple Choice)
a)
The RMSprop optimizer inherits the advantages of the Adam optimizer. The learning rate is automatically updated.
b)
Unlike the RMSprop optimizer, the Adagrad optimizer does not automatically update the learning rate.
c)
The SGD and momentum optimizers use the same learning rate for each iteration.
d)
The learning rate of the momentum optimizer does not need to be manually set.
46.
During model training, a larger value of the epoch parameter indicates a better training result.
a)
True
b)
False
47.
Distributed training is a feature of the TensorFlow framework.
a)
True
b)
False
48.
The PIL module in TensorFlow 2.0 is used to perform operations on images.
a)
True
b)
False
49.
Although each industry and application faces unique challenges, they are all gradually adopting Al-based workflows and solutions.
a)
True
b)
False
50.
HUAWEI HiAl 3.0 supports the development of PSO smartphones.
a)
True
b)
False
51.
The ModelArts inference platform implements fast and efficient model inference and image recognition.
a)
True
b)
False
52.
With the continued development of Al processors and AI frameworks, new data types, such as BFolat16, are emerging.
a)
False
b)
True
53.
The added cost of L1 regularization is proportional to the absolute value of the weight coefficient.
a)
True
b)
False
54.
Typically, a larger k value in the K-Nearest Neighbors (KNN) algorithm reduces the impact of noise on classification, but makes the boundary between classes less obvious.
a)
True
b)
False
55.
ModelArts allows visualized management throughout the AI development lifecycle, including data preparation, training, modeling, and inference. It does not support resumed training, training result comparison, or model lineage.
a)
True
b)
False
56.
In a convolutional neural network, the size of each kernel is not necessarily the same as that of a pooling layer window, but their steps should be the same.
a)
False
b)
True
57.
During model training, a larger value of the epoch parameter indicates a better training result.
a)
False
b)
True
58.
The tree model used at the bottom layer of the random forest and GBDT algorithms is only the classification and regression tree (CART).
a)
True
b)
False
59.
Ascend AI Processors are a series of Huawei-proprietary AI processors that feature superior computing power.
a)
True
b)
False
60.
MindSpore can be quickly deployed on the cloud and edge, improving resource utilization and privacy protection, and helping developers focus on AI apps. Due to the size of the model, MindSpore cannot be deployed on mobile phones.
a)
True
b)
False
61.
The basic process of AI development includes the following steps: (1) Prepare data (2) Deploy the model (3) Evaluate the model (4) Determine the purpose (5) Train the model. Which option is the correct order of the above steps? (Simple Choice)
a)
4->5->1->3->2
b)
4->1->5->2->3
c)
4->1->5->3->2
d)
4->5->1->2->3
62.
Which of the following options is the artificial intelligence development framework launched by Huawei? (Simple Choice)
a)
TensorFlow
b)
PyTorch
c)
MindSpore
d)
Matlab
63.
In the process of training the neural network, our goal is to keep the loss function reduced. Which of the following methods do we usually use to minimize the loss function? (Simple Choice)
a)
Gradient descent
b)
Dropout
c)
Cross-validation
d)
Regularization
64.
Which of the following options is Huawei's artificial intelligence computing platform? (Simple Choice)
a)
ModelArts
b)
Huawei cloud EI
c)
ECS
d)
Atlas
65.
In order for a machine to be intelligent, it must be knowledgeable. Therefore, there are search field in artificial intelligence. which mainly studies how computers automatically acquire knowledge and skills to achieve selfimpr011emenL What is the branch of this research called? (Simple Choice)
a)
Expert system
b)
Machine learning
c)
Neural Network
d)
Natural language processing
66.
Which of the following statements is true about the chip enablement layer in the Ascend Al software stack? (Simple choice)
a)
The Ascend Al software stack encapsulates the framework invoking and offline mode! generation capabilities.
b)
The Ascend Al software stack is the hardware compute basis of Ascend Al Processors
c)
The Ascend Al software stack is nearest to the underlying compute resources and outputs operator-slayer tasks to the hardware.
d)
The Ascend Al software stack can invoke an appropriate deep learning framework based on the features of related algorithms.
67.
Intelligent quality inspection is based on the cloud-edge-device synergy of deep learning algorithms. Which of the following operations is performed on edge devices? (Simple choice)
a)
Onsite inference
b)
Model training
c)
Model delivery
d)
Data labeling
68.
Which of the following statements is true about model validity?(Simple choice)
a)
During model testing, errors can be classified into training errors and sample variances.
b)
Bias refers to errors you get when you run the model on new samples.
c)
Variance refers to the difference between the prediction of a learned model on a sample and the actual result of the sample.
d)
The goal of machine learning is for a trained model to perform well on new samples, not just on samples used for training.
69.
Which of the following indicators cannot be used to evaluate a model? (simple choice)
a)
Explain ability
b)
Prediction rate
c)
Code complexity
d)
Generalization capability
70.
Which of the following HUAWEI CLOUD services is NOT a basic AI platform service? (Simple choice)
a)
ModelArts
b)
Relational Database Service (RDS)
c)
Huawei HiLens
d)
Graph Engine Service (GES)
71.
The core of an AI framework and one the decisive factors of the programming paradigm is the automatic differentiation used by the AI framework. Which of the following is used by MindSpore? (Simple choice)
a)
Opção 1
72.
Which of the following statements is true about the low-latency design of CPUs? (Simple choice)
a)
The low clock frequency reduces the latency
b)
Complex logic control units increase the latency
c)
The powerful ALU can complete the computation in a short clock cycle
d)
A CPU is equipped with few ALUs and caches. The caches merge access requests to the same data then access the DRAM, reducing the latency.
73.
Which of the following is not a hyperparameter for model training? (Simple choice)
a)
batch_size in a training neural network
b)
b in the one-dimensional linear regression model Y=wX+b
c)
Number of trees in a random forest
d)
K in K-means.
74.
Which of the following statements is true about deep learning? (Simples choice)
a)
Algorithms are used to automatically extract features.
b)
GPU parallel computing provides faster computing if there are more network parameters
c)
The feature interpretability is strong.
d)
Parameters at each layer have specific meanings.
75.
Which of the following statements about dropout is incorrect? (Simple choice)
a)
ropout rate is a hyperparameter.
b)
During training, the network layer to which dropout is added will randomly discard neurons of dropout rate.
c)
If dropout is added to a network layer during training but not during inference, the weight value of this layer multiplies (1-dropout rate).
d)
dropout can't be added during inference.
76.
Which of the following schools does the expert system belong to? (Simple choice)
a)
Symbolism
b)
Connectionism
c)
Behaviorism
d)
None of the above
77.
What research areas does artificial intelligence have? (Multiple Choice)
a)
Natural language processing
b)
Computer Vision
c)
Machine learning
d)
Speech recognition
78.
Which of the following options are the main advantages of the Keras Interface in TensorFlow 2.0? (Multiple Choice)
a)
Convenient for users
b)
Modular and combinable
c)
Easy to expand
d)
Use a static graph mechanism
79.
Which of the following commands are used to read and write images in the OpenCV-Python library? (Multiple Choice)
a)
cv2.imread()
b)
cv2.imwrite()
c)
cv2.cvtColor()
d)
cv2.waitKey()
80.
Which of the following are application scenarios of El Intelligence Twins? (Multiple Choice)
a)
Traffic Go
b)
Industrial Intelligent Twins
c)
Campus Go
d)
Network AI Engine
81.
Which of the following are the common loss functions used in machine learning? (Multiple Choice)
a)
Mean absolute error
b)
Mean squared error
c)
Cross entropy
d)
Hinge loss
82.
What are the characteristics of Python code? (Multiple Choice)
a)
legibility
b)
Simplicity
c)
Rapidity
d)
Scalability
83.
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)
84.
Which of the following options are the main advantages of the Keras Interface in TensorFlow 2.0? (Multiple Choice)
a)
Convenient for users
b)
Modular and combinable
c)
Easy to expand
d)
Use a static graph mechanism
85.
Which of the following items are included in the results returned when the face search service is successfully called?
a)
Searched face similarity
b)
Searched faces id
c)
Searched face position
d)
Searched face number
86.
Which of the following are AI Application areas? (Multiple Choice)
a)
Wisdom education
b)
Smart City
c)
Smart home
d)
Smart medical
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