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Huawei H13-311_V3.0 Dumps
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Huawei H13-311_V3.0 Frequently Asked Questions
Huawei H13-311_V3.0 Sample Questions
Question # 1
Which of the following statements about supervised learning is correct
A. Decision tree is a supervised learning
B. Supervised learning cannot use cross-validation for training
C. Supervised learning is a rule-based algorithm
D. Supervised learning can be trained without labels
Question # 2
HUAWEI HiAI Which module does the face detection in the platform belong to?
A. HiAI Engine
B. HiAI Framework
C. HiAI Foundation
D. HiAI Service
Question # 3
Deep learning is different from machine learning and there are no unsupervised algorithms
A. True
B. False
Question # 4
Which of the following is not a face recognition technology?
A. Face search
B. Face comparison
C. Face Detection
D. Remake recognition
Question # 5
In deep learning tasks, when encountering data imbalance problems, which of the followingmethods can we use to solve the problem?
A. batch deletion
B. Random oversampling
C. Synthetic sampling
D. Random undersampling
Question # 6
Huawei AI The whole scenario includes public cloud, private cloud, various edgecomputing, IoT industry terminals and consumer. The deployment environment of terminal,edge, and cloud for fee-based terminals.
A. TRUE
B. FALSE
Question # 7
What people say about neural networks is wrong?
A. As the number of hidden layers of the neural network increases, the classification abilityof the model gradually weakens
B. The limitation of a single-layer perceptron is that it cannot solve the XOR problem
C. The feedforward neural network can be represented by a directed acyclic graph
D. There is no connection between neurons in the same layer of the feedforward neuralnetwork
Question # 8
The loss function of logistic regression is the cross-entropy loss function.
A. TRUE
B. FALSE
Question # 9
Which of the following descriptions about Python program are correct? (Multiple choice)
A. The program consists of modules
B. 8 Module contains statements
C. statement contains an expression
D. Expressions create and process objects
Question # 10
Which of the following options belong to Tensorflow concept? (Multiple Choice)
A. Tensor
B. Variables
C. Placeholder
D. Operation
E. Conversation
Question # 11
Which of the following options are <Artificial Intelligence Comprehensive Experiment> Maybe used in calling Huawei cloud services?
A. ak
B. region
C. project_id
D. sk
Question # 12
Generating a confrontation network is like a game system. The generator generates fakesamples, and the discriminator judges whether it is true or false. Our ideal result is?
A. The generator produces roughly the same samples
B. The discriminator efficiently distinguishes the true and false samples generated by thegenerator
C. The discriminator cannot distinguish the true and false samples generated by thegenerator
D. The generator produces different samples
Question # 13
What model is not a cyclic neural network?
A. RNN
B. LSTM
C. GBOT
D. GRU
Question # 14
Pytorch Which company launched it first?
A. Baidu
B. Google
C. Facebook
D. Huawei
Question # 15
Which method is not supported in TensorFlow to define variables?
A. Random number
B. Constant
C. Calculated from the initial values of other variables
D. null
Question # 16
The Python list can be identified by ‘[]”, and the default index of the first element from left toright is 1.
A. True
B. False
Question # 17
What of the following does belong to convolutional neural network (CNN)? (MultipleChoice)
A. VGGNet
B. ResNet
C. AlexNet
D. GoogleNet
Question # 18
In the process of deep learning model training, what are the common optimizers?
A. Adam
B. Adagrad
C. SGD
D. Momentum
Question # 19
Which of the following schools does the neural network study belong to?
A. Symbolism
B. Connectionism
C. Behaviorism
D. None of the above
Question # 20
Which of the following features does Python support? (Multiple choice)
A. Inheritance
B. Heavy load
C. Derived
D. Multiple inheritance
Question # 21
What does not belong to supervised learning?
A. Logistic regression
B. Support vector machine
C. Decision tree
D. Princi1pal component analysis
Question # 22
In the classic convolutional neural network model,Softmax What hidden layer does thefunction follow?
A. Convolutional layer
B. Pooling layer
C. Fully connected layer
D. All of the above
Question # 23
The model composed of machine learning algorithms cannot represent the true datadistribution function on a theoretical level. Just approach it.
A. TRUE
B. FALSE
Question # 24
Which of the following about the dictionary in Python is correct? (Multiple Choice)
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 # 25
Grid search is a method of parameter adjustment.
A. TRUE
B. FALSE
Question # 26
It is known that the total parameter of a certain layer of the fully connected neural networkis 330,The number of neurons in the previous layer and this layer May be?
A. 32 with 10
B. 10 with 33
C. 33 with 10
D. 9 with 33
Question # 27
What is the English abbreviation for AI?
A. Automatic Intelligence
B. Artifical Intelligence
C. Automatic Information
D. Artifical Information
Question # 28
There are many types of neural networks in deep learning. The following neural networkinformation is one-way propagation:
A. LSTM
B. Convolutional Neural Network
C. Recurrent neural network
D. GRU
Question # 29
Which of the following is not an artificial intelligence school?
A. Symbolism
B. StatJst1caltsm
C. Behaviorism
D. Connectionism
Question # 30
X, Y are random variables, C is a constant, the nature of the difference in the followingoptions which is wrong? (Multiple choice)
A. D(C)=O
B. D(X+ Y)=D(X)+D(Y)
C. D(CX)=C'C'D()()
D. D(XY)=D(X)D{Y)
Question # 31
In order for a machine to be intelligent, it must be knowledgeable. Therefore, there is aresearch field in artificial intelligence. which mainly studies how computers automaticallyacquire knowledgeand skills to achieve self-impr011emenL What is the branch of this research called?
A. Expert system
B. Machine learning
C. Neural Network
D. Natural language processing
Question # 32
Recurrent neural network is different from convolutional neural network, it is better atsolving the following problems?
A. Sequence related issues
B. Image classification
C. Image detection
D. Recommended question
Question # 33
TensorFlow The data type used is?
A. Scalar
B. Vector
C. Tensor
D. Matrix
Question # 34
According to the development process of the robot, it is usually divided into threegenerations, respectively are: (Multiple Choice)
A. Teaching Reproduction Robot
B. Robot with sensation
C. Robots that will think
D. Intelligent robot
Question # 35
Which of the following does not belong to long-term memory LSTM (long Short·TermMemory) network architecture?
A. Memory door
B. Forget the door
C. Input door
D. Output door
Question # 36
Artificial intelligence is the research and development of theories, methods and applicationsystems used to simulate, extend and expand human intelligence Of a new technologicalscience.
A. TRUE
B. FALSE
Question # 37
What are the results returned by the if conditional statements in the Python language?(Multiple choice)
A. True
B. 0
C. FALSE
D. null
Question # 38
Numerical calculation refers to the method and process of effectively using the digitalcomputer to solve the approximate problem of mathematical problems, and the disciplineconsisting of related theories.Which of the following processes are involved in solving actual problems with a computer?(Multiple Choice)
A. Know the actual problem
B. Mathematical model
C. Numerical calculation method
D. Programm1ng
E. Computer calculation results
Question # 39
In a neural network based on connectionism, each node can express a specific meaning.
A. TRUE
B. FALSE
Question # 40
What are the characteristics of Python code? (Multiple Choice)
A. leg1bil1ty
B. Simpl1c1ty
C. Rapidity
D. Scalab1hty
Question # 41
TensorFlow It is one of the most popular deep learning frameworks.
A. TRUE
B. FALSE
Question # 42
The following are the description of the distribution function. distribution law. and densityfunction of random variables.which is incorrect?
A. Distribution law can only describe the value rule of discrete random variables
B. The density function can only describe the value rule of continuous random variables
C. Discrete random variables have no d1slribulion function
D. Distribution function describes the value rule of random variables
Question # 43
Huawei Machine learning Service MLS MLS is a one-stop platform that supports the entireprocess of data analysis. Which of the following is not a feature of MLS?
A. A rich library of machine learning algorithms.
B. machine learning program is intuitive and easy to use.
C. Distributed and scalable big data computing engine.
D. Support for the R language but does not support the Python language
Question # 44
Bagging In integrated learning, the relationship between each base learner is?
A. Additive relationship
B. relationship
C. The latter model must be built on top of the previous model
D. Independent
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