[Q109-Q126] Real Exam Questions H13-311_V3.0 Dumps Exam Questions in here [Dec-2021]

Share

Real Exam Questions H13-311_V3.0 Dumps Exam Questions in here [Dec-2021]

Get Latest Dec-2021 Conduct effective penetration tests using  H13-311_V3.0


Huawei H13-311_V3.0 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Hardware Architecture of Ascend Chips
  • MindSpore Development and Application
Topic 2
  • Machine Learning Experiment
  • Mainstream Development Frameworks
  • Huawei AI Computing Platform Atlas
Topic 3
  • Software Architecture of Ascend Chips
  • Common Modules of TensorFlow 2.x
Topic 4
  • Huawei Open AI Platform for Smart Devices
  • Basic Steps of Deep Learning Development
Topic 5
  • Mainstream Development Framework and Deep Learning Experiment
  • Common Machine Learning Algorithms
Topic 6
  • Developing Apps Based on Huawei HiAI Platform
  • Technical Fields and Application Fields of AI

 

NEW QUESTION 109
In the deep learning network, the backpropagation algorithm is used to find the optimal parameters. What rules are used in the backpropagation algorithm to obtain the derivation layer by layer?

  • A. Rule of Normalization
  • B. Cumulative rule
  • C. Chain rule
  • D. Law of reciprocity

Answer: C

 

NEW QUESTION 110
In a neural network, knowing the weight and deviations of each neuron is the most important step. If you know the exact weights and deviations of neurons in some way, you can approximate any function What is the best way to achieve this?

  • A. Assign an initial value to iteratively update weight by checking the difference between the best value and the initial
  • B. The above is not correct
  • C. Search for a combmat1on of weight and deviation until the best value 1s obtained
  • D. Random assignment, pray that they are correct

Answer: A

 

NEW QUESTION 111
The label predicted by the regression algorithm is?

  • A. Self-deformation
  • B. Discrete
  • C. Continuous
  • D. Strain type

Answer: C

 

NEW QUESTION 112
Which of the following does not belong to automatic hyperparameter optimization algorithm?

  • A. Grid search
  • B. Model-based hyper parameter optimization
  • C. Random search
  • D. Random gradient descent

Answer: D

 

NEW QUESTION 113
During application development, which of the following operations is not a typical network definition?

  • A. Network definition
  • B. Weight initialization
  • C. Network execution
  • D. Knowledge distillation

Answer: D

 

NEW QUESTION 114
In what year did Huawei officially provide services in the form of cloud services, and combined with more partners to provide richer artificial intelligence practices?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: B

 

NEW QUESTION 115
The following options do not belong to the scope of Huawei's full-stack solution are?

  • A. Edge computing
  • B. Open source framework
  • C. Chip enable
  • D. Application enable

Answer: A

 

NEW QUESTION 116
HUAWEI CLOUD EI Enable more use of corporate boundaries AI And big data services to accelerate business development and benefit society. HUAWEI CLOUD EI The service can serve the enterprise in the following aspects?

  • A. Industry data
  • B. Computing power
  • C. algorithm
  • D. Industry wisdom

Answer: A,B,C,D

 

NEW QUESTION 117
There are many business applications of machine learning services. What are the common businesses covered?

  • A. predictive maintenance
  • B. financial product recommendation
  • C. retailer grouping
  • D. retention of telecommunications customers

Answer: A,B,C,D

 

NEW QUESTION 118
GAN is a deep learning model and one of the most promising methods for unsupervised learning on complex distributions in recent years.

  • A. True
  • B. False

Answer: A

 

NEW QUESTION 119
Which of the following descriptions about the Recurrent Neural Network (RNN) is correct?

  • A. The units above the hidden layer are not associated With each other.
  • B. Can be used to process sequence data.
  • C. Unlike convolutional neural networks. parameters of RNN cannot be shared
  • D. Cannot process variable length sequence data.

Answer: B

 

NEW QUESTION 120
The optimizer is an important part of training neural networks. The purpose of using the optimizer does not include which of the following:

  • A. Speed up algorithm convergence
  • B. Reduce the difficulty of manual parameter setting
  • C. Avoid local extremes
  • D. Avoid overfitting

Answer: D

 

NEW QUESTION 121
What is wrong description of the normal distribution?

  • A. The larger the standard deviation the steeper the normal d1stribuhon curve
  • B. The larger the standard deviation, the slower the normal distribution curve.
  • C. The normal distribution lakes the maximum value at the mean
  • D. In natural phenomena and social phenomena, many random variables obey or approximate a normal distribution.

Answer: A

 

NEW QUESTION 122
What are the commonly used gradient descent optimization functions?

  • A. Adagrad
  • B. Adadelta
  • C. RMSProp
  • D. momentum
  • E. stochastic gradient descent

Answer: A,B,C,D,E

 

NEW QUESTION 123
The for loop statement in the Python language can iterate through the items in any sequence.

  • A. True
  • B. False

Answer: A

 

NEW QUESTION 124
TensorFlow2.0 of keras.preprocessing The role is?

  • A. keras Model deployment tool
  • B. keras Built-in optimizer
  • C. Keras Generative model tool
  • D. keras Data processing tools

Answer: D

 

NEW QUESTION 125
The following code was used when compiling the
model:model.compile(optimizer='Adam,loss='categorical.crossentropy',metrics=[tf.keras.metrics.accuracy]), currently using evaluate When the method evaluates the model, which of the following indicators will be output?

  • A. categorical_ 1oss
  • B. loss
  • C. accuracy
  • D. categorical accuracy

Answer: B,C

 

NEW QUESTION 126
......

Authentic Best resources for H13-311_V3.0 Online Practice Exam: https://www.actualvce.com/Huawei/H13-311_V3.0-valid-vce-dumps.html