Worksheetsholidayku-1
Total questions: 60
Worksheet time: 30mins
Name
Class
Date
1.
The PIL module in TensorFlow 2.0 is used to perform operations on images.
a)
True
b)
False
c)
-
d)
-
2.
Creative work, such as writing, will not be easily replicated by AI.
a)
True
b)
False
c)
-
d)
-
3.
Assuming the number of hyperparamaeters is the same, stochastic gradient descent (SGD) combined with manual adjustment achieves a better effect than adaptive learning rates
a)
True
b)
False
c)
-
d)
-
4.
The development of Al technologies is trending towards various machine learning frameworks that are more applicable and easy to use.
a)
True
b)
False
c)
-
d)
-
5.
The Tensor Boost Engine (TBE) is a processor enablement layer built by Huawei for deep neural networks and Ascend Al Processors. It provides a processor operators library and a highly automated operators development toolkit.
a)
True
b)
False
c)
-
d)
-
6.
MindSpore accelerates model convergence through automatic parallelism and second-order optimization.
a)
True
b)
False
c)
-
d)
-
7.
TensorFlow 2.x is compatible with all TensorFlow 1.x modules.
a)
True
b)
False
c)
-
d)
-
8.
In actual data processing, there are multiple trained models available so that you can choose the optimal one.
a)
True
b)
False
c)
-
d)
-
9.
All kernels of the same convolutional layer in a convolutional neural network share a weight.
a)
True
b)
False
c)
-
d)
-
10.
With the continued development of Al processors and Al frameworks, new data types, such as BFloat16, are emerging.
a)
True
b)
False
c)
-
d)
-
11.
As the cornerstone of the Huawei full-stack all-scenario Al solution, Atlas provides modules, cards, and servers powered by Kunpeng Al processors to meet demands for computing power in all scenarios.
a)
True
b)
False
c)
-
d)
-
12.
The added cost of L1 regularization is proportional to the absolute value of the weight coefficient.
a)
True
b)
False
c)
-
d)
-
13.
All neurons on the same layer in a recurrent neural network share weights (U, V, and W).
a)
True
b)
False
c)
-
d)
-
14.
Assuming a dataset contains the areas and prices of 21,613 housing units in a city, a classification model can predict the prices of other housing units in the city.
a)
True
b)
False
c)
-
d)
-
15.
In the convolutional layer, the dropout ratio is the ratio of features whose values are set to 0. Generally, the dropout ratio ranges from 0.2 to 0.5.
a)
True
b)
False
c)
-
d)
-
16.
Device, edge, cloud can respectively refer to smartphones, Huawei intelligent edge devices, and HUAWEI CLOUD
a)
True
b)
False
c)
-
d)
-
17.
The dropout technology can be used only during Al model training.
a)
True
b)
False
c)
-
d)
-
18.
A decision tree selects a label from features of the training data to work as the node splitting standard. Different label selection standards generate different decision tree algorithms.
a)
True
b)
False
c)
-
d)
-
19.
One of the filter methods is using the Chi-Squared test to analyze the mapping between features and labels to implement feature selection.
a)
True
b)
False
c)
-
d)
-
20.
The softplus function has a continuous derivative and defines a smooth curved surface.
a)
True
b)
False
c)
-
d)
-
21.
Which of the following is the basic unit of data storage in PyTorch, MindSpore, and TensorFlow?
a)
Matrix
b)
Tensor
c)
Float
d)
Vector
22.
Which of the following commands is used to install TensorFlow?
a)
conda create install tensorflow
b)
python tensorflow setup.py
c)
conda setup.py tensorflow
d)
pip install tensorflow
23.
The Relu function is often used in deep learning and neural networks. Which of the following statements is true about this function?
a)
The value range is [-1,1]
b)
The value range is [0,+¥)
c)
The value range of the derivatives is (0,1)
d)
The value range of the derivatives is [-1,0]
24.
Which of the following statements is true about the chip enablement layer in the Ascend Al software stack?
a)
The Ascend Al software stack encapsulates the framework invoking and offline model 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-layer tasks to the hardware.
d)
The Ascend Al software stack can invoke an appropriate deep learning framework based on the features of related algorithms.
25.
Which of the following is a math operator in MindSpore?
a)
Mul
b)
ControlDepend
c)
Callback
d)
Select
26.
Which of the following statements is false about machine learning?
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.
27.
HUAWEI CLOUD Traffic Intelligent Twins (or TrafficGo) is a comprehensive urban traffic management solution. Which of the following functions is provided by this solution?
a)
Traffic parameter awareness
b)
Automatic path planning
c)
Emergency response and disaster prevention
d)
Assisted autonomous driving
28.
Which of the following statements is true about the ReLU function?
a)
The ReLU function is differentiable at x = 0, and the derivative is 1.
b)
Neuron necrosis does not occur.
c)
There is no upper bound, so training is relatively easy to diverge.
d)
The gradient is always 1, and the vanishing gradient problem can be perfectly solved.
29.
Which of the following is not a feature of the MindSpore core architecture?
a)
Automatic differentiation
b)
Automatic parallelism
c)
Automatic deployment
d)
Automatic tuning
30.
Which of the following is the reasoning method of the production system that draws conclusions through a rule library?
a)
Forward
b)
Backward
c)
Bidirectional
d)
Random
31.
Which of the following is the correct shape of tensor [[[0, 1], [2,3]], [[4,5], [6,7]]]?
a)
[3,3,2]
b)
[3,2,4]
c)
[2,3,4]
d)
[2,2,2]
32.
Which of the following indicators cannot be used to evaluate a model?
a)
Generalization capability
b)
Explainability
c)
Prediction rate
d)
Code complexity
33.
Which of the following HUAWEI CLOUD services is NOT a basic Al platform service?
a)
ModelArts
b)
Huawei HiLens
c)
Relational Database Service (RDS)
d)
Graph Engine Service (GES)
34.
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?
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
35.
Which of the following commands can be executed to use the code of TensorFlow 1.X in TensorFlow 2?
a)
import tensorflow.compat.v1 as tf
b)
import tensorflow.v1 as tf
c)
import tensorflow as tf
d)
import v1 as if
36.
Which of the following is a method of compressing an Al model?
a)
Low rank approximation
b)
Network integration
c)
Data augmentation
d)
Data volume reduction
37.
Which of the following functions is used in HUAWEI CLOUD General Text OCR experiments?
a)
ocr_client.request_ocr_service_base64
b)
ocr_client.ocr_service_base64
c)
ocr_client.request_base64
d)
ocr.request_ocr_service_base128
38.
Which of the following is the main function of HUAWEI CLOUD GeoGenius
a)
Ecological environment detection
b)
Heat demand forecast
c)
Real-time traffic detection
d)
Traffic incident detection
39.
Which of the following statements are false about the combination of the model bias and variance?
a)
A good model requires a high variance and high bias.
b)
A high bias and high variance may result in overfitting.
c)
A high bias and low variance may result in underfitting.
d)
A model with a high variance is of no application value.
40.
Backed by HUAWEI CLOUD's accumulated knowledge and expertise in Al, big data, and other cutting-edge technologies, GeoGenius offers a one-stop Al development cloud platform for remote sensing data processing, mining, and management. Which of the following are the main functions of GeoGenius?
a)
Weather forecasting
b)
Afforestation
c)
Emergency response and disaster prevention
d)
Smart transport infrastructure
41.
Which of the following use the Da Vinci Architecture?
a)
Ascend 310
b)
RTX3080
c)
Kunpeng 920
d)
Ascend 910
42.
Which of the following are part of the Huawei full-stack Al solution?
a)
TBE
b)
openEuler
c)
AscendCL
d)
Ascend
43.
Which of the following are common application scenarios of HUAWEI CLOUD OCR?
a)
Photo recognition for cats and dogs
b)
Driving license recognition
c)
VAT invoice recognition
d)
Aircraft itinerary recognition
44.
Which of the following statements are true about data preprocessing?
a)
Data cleansing is a process of filling in missing values, as well as detecting and eliminating noise data and exceptions.
b)
Data dimension reduction is to prevent dimension explosion by deleting data features.
c)
Data standardization is to reduce noise data and improve model accuracy.
d)
Machine learning outputs results through models. Therefore, model training is more important than data preprocessing.
45.
Which of the following statements are true about gradient descent?
a)
Stochastic gradient descent (SGD) randomly chooses samples for each training job causing unstability. As a result, the loss function fluctuates or even encounters reverse displacements during the process of dropping to the minimum value.
b)
Batch gradient descent (BGD) is the most unstable method and consumes too many compute resources.
c)
Mini-batch gradient descent (MBGD) is a balance between BGD and SGD, and is the optimal choice for all datasets.
d)
BGD uses all samples for each training job.
46.
Which of the following format conversion operations are not performed by the storage control unit of the Da Vinci Architecture?
a)
Zero padding and transposition
b)
Video stream compression
c)
Color space conversion
d)
Img2Col
47.
Which of the following statements are false about Keras?
a)
Like TensorFlow, Keras is a multi-layer neural network development package. However, Keras has simpler syntax and is easier to use.
b)
Keras is a neural network development package used to build CNN sequential models. It cannot be used to build other neural networks.
c)
The neural network model built using Keras must be compiled before data can be input into it for training.
d)
Keras can be used as the backend of TensorFlow.
48.
Which of the following statements are false about GANs?
a)
The discriminator input is mainly noise and real sample data.
b)
GANs are a type of framework. They train the generator and discriminator through an adversarial process.
c)
GANs are trained using the BP algorithm.
d)
The input of the discriminator is mainly sample data provided by the generator.
49.
Which of the following operations are involved when TensorFlow is used for model training
a)
Define input and output nodes.
b)
Train and save models
c)
Obtain and cleanse data.
d)
Define learning parameters and operations.
50.
Which of the following statements are true about activation functions?
a)
The existence of the activation function introduces linearity into the network.
b)
If we do not use an activation function, the output signals will be just a simple linear function.
c)
There are many activation functions. You need to select one based on the actual situation.
d)
Activation functions play an important role in learning and understanding complex and nonlinear functions of neural network models.
51.
Which of the following statements are true about decision trees?
a)
A decision tree is a binary tree structure.
b)
Each non-leaf node in a decision tree represents a test on a feature attribute; each branch represents the output of the feature attribute within a value range; and each leaf node holds a class label.
c)
Except the root node, all nodes in a decision tree are called leaf nodes.
d)
Building a decision tree means selecting and measuring feature attributes and determining their topology
52.
Which of the following statements are true about regression analysis?
a)
Regression analysis is a statistical analysis method used to determine the quantitative relationship between two or more variables.
b)
Regression analysis is a type of unsupervised learning.
c)
Regression analysis is a type of supervised learning.
d)
Linear regression with an absolute loss (L2 regularization) is called Lasso regression.
53.
Which of the following statements are false about common optimizers?
a)
One of the advantages of Adagrad optimizers is that the parameter update operation does not end too early
b)
When the momentum optimizer is used, parameters are updated by using the same learning rate, but momentum coefficients keep changing with each iteration
c)
Adam sets different learning rates for different parameters.
d)
The RMSprop optimizer introduces an attenuateon coefficient to ensure a certain proportion of gradient attenuateon in each round.
54.
Which of the following cells are predefined in MindSpore?
a)
MAELOSS
b)
TFRecord
c)
cos
d)
WithGradCell
55.
HUAWEI CLOUD () helps enterprises build invoice management systems and self- service reimbursement systems. (Fill in the blank with the abbreviation of the service name.)
(a)
56.
In MindSpore Python APIs, mindspore.() provides various neural network layers.
(a)
57.
The Atlas 200 DK is designed to run on the Ascend () Al Processor. (Full in using Arabic numerals.)
(a)
58.
As the neural network increasingly deepens, two issues may be encountered during network training: one is (), and the other is gradient vanishing/exploding.
(a)
59.
In MindSpore, if you want to define a function for collecting information after each step is complete, you need to inherit the () class
(a)
60.
In TensorFlow 2.0, if tf.keras.layers.RNN is used to process timing information and you want to obtain the output status at each moment, set () to True
(a)
100 %
