2022 Realistic Verified Free Huawei H13-311_V3.0 Exam Questions [Q77-Q99]

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2022 Realistic Verified Free Huawei H13-311_V3.0 Exam Questions 

H13-311_V3.0 Real Exam Questions and Answers FREE


Huawei H13-311_V3.0 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Developing Apps Based on Huawei HiAI Platform
  • Technical Fields and Application Fields of AI
Topic 2
  • Hardware Architecture of Ascend Chips
  • MindSpore Development and Application
Topic 3
  • Huawei Atlas AI Computing Platform
  • Machine Learning Overview
  • Future Prospects of AI
Topic 5
  • Software Architecture of Ascend Chips
  • Common Modules of TensorFlow 2.x
Topic 6
  • Machine Learning Experiment
  • Mainstream Development Frameworks
  • Huawei AI Computing Platform Atlas
Topic 7
  • Huawei Open AI Platform for Smart Devices
  • Basic Steps of Deep Learning Development
Topic 8
  • Mainstream Development Framework and Deep Learning Experiment
  • Common Machine Learning Algorithms
Topic 9
  • Other Key Machine Learning Methods
  • Machine Learning Definition
  • HUAWEI CLOUD Enterprise Intelligence Application Platform
Topic 10
  • Mainstream Development Frameworks for AI
  • Huawei's AI Development Strategy
  • Industry Applications of Atlas

 

NEW QUESTION 77
the time interval in the Python language is a floating-point decimal in seconds.

  • A. False
  • B. True

Answer: B

 

NEW QUESTION 78
In polynomial regression, there is a square term in the formula of the model, so it is not linear.

  • A. FALSE
  • B. TRUE

Answer: A

 

NEW QUESTION 79
Which of the following are solutions for Huawei Cloud EI industry scenarios?

  • A. Intelligent Manufacturing
  • B. Intelligent Water Affairs
  • C. Intelligent Finance
  • D. Intelligent Transportation
  • E. Intelligent Logistics

Answer: A,B,C,D,E

 

NEW QUESTION 80
Which of the following options is not a reason for traditional machine learning algorithms to promote the development of deep learning?

  • A. Feature Engineering
  • B. Manifold learning
  • C. Dimensional disaster
  • D. local invariance and smooth regularization

Answer: A

 

NEW QUESTION 81
Print in Python 3 must be used with ().

  • A. False
  • B. True

Answer: B

 

NEW QUESTION 82
Regularization is an important and effective technique for reducing generalization errors in traditional machine learning. The following techniques are regular. The technology is:

  • A. Momentum optimizer
  • B. L1 Regularization
  • C. L2 Regularization
  • D. Dropout

Answer: B,C,D

 

NEW QUESTION 83
Which of the following does the convolutional neural network structure not include?

  • A. Convolutional layer
  • B. Loop layer
  • C. Fully connected layer
  • D. Pooling layer

Answer: B

 

NEW QUESTION 84
Which of the following descriptions of the depth feedforward network is correct?

  • A. The deep feedforward network has only one hidden layer.
  • B. Deep feedforward network 1s used to deal with linear problems.
  • C. Deep feedforward network 1s a kind of neural network.
  • D. The unit on the hidden layer of the deep feedforward network will have countless.

Answer: C

 

NEW QUESTION 85
Bagging In integrated learning, the relationship between each base learner is?

  • A. Independent
  • B. The latter model must be built on top of the previous model
  • C. Additive relationship
  • D. relationship

Answer: D

 

NEW QUESTION 86
Python tuples are identified by "()", and internal elements are separated by ";".

  • A. False
  • B. True

Answer: A

 

NEW QUESTION 87
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

  • A. False
  • B. True

Answer: A

 

NEW QUESTION 88
Which of the following options is not central to linear algebra?

  • A. Probability theory
  • B. Matrix theory
  • C. Vector space
  • D. Linear transformation

Answer: A

 

NEW QUESTION 89
With a lot of sales data but no labels, companies want to identify VIP Customer, the following model Suitable?

  • A. K-Means
  • B. SVM
  • C. Hierarchical clustering
  • D. Logistic regression

Answer: A,C

 

NEW QUESTION 90
Which of the following options is not the reason why traditional machine learning algorithms promote the development of deep learning?

  • A. manifold learning
  • B. dimension disaster
  • C. feature engineering
  • D. local invariance and smooth regularization

Answer: C

 

NEW QUESTION 91
Which of the following is not included in the recurrent neural network usage scenario?

  • A. Speech recognition
  • B. Text generation
  • C. Machine translation
  • D. Image style migration

Answer: D

 

NEW QUESTION 92
Not supported in the following options TensorFLow2.0 The attributes for dimensional transformation are.

  • A. transpose
  • B. gather
  • C. reshape
  • D. squeeze

Answer: B

 

NEW QUESTION 93
Label when the image remake detection service is called successfully sugestion What's the situation?

  • A. FALSE
  • B. certainty
  • C. TRUE
  • D. uncertainty

Answer: A,C,D

 

NEW QUESTION 94
Functions are well-organized, non-reusable code segments used to implement a single, or associated Function.

  • A. False
  • B. True

Answer: A

 

NEW QUESTION 95
Which of the following does not belong to long-term memory LSTM (long Short*Term Memory) network architecture?

  • A. Input door
  • B. Memory door
  • C. Output door
  • D. Forget the door

Answer: B

 

NEW QUESTION 96
Artificial intelligence at this stage is still in the weak artificial intelligence stage.

  • A. FALSE
  • B. TRUE

Answer: B

 

NEW QUESTION 97
Which of the following activation functions are prone to vanishing gradient problems?

  • A. Sigmoid
  • B. ReLU
  • C. Tanh
  • D. Softplus

Answer: A,C

 

NEW QUESTION 98
Among the machine learning algorithms, the following is not an integrated learning strategy?

  • A. Stacking
  • B. Bagging
  • C. Boosting
  • D. Marking

Answer: D

 

NEW QUESTION 99
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