[Oct-2023] Get 100% Real H13-311_V3.0 Exam Questions, Accurate & Verified UpdateDumps Dumps in the Real Exam! [Q124-Q149]

Share

[Oct-2023] Get 100% Real H13-311_V3.0 Exam Questions, Accurate & Verified UpdateDumps Dumps in the Real Exam!

Pass Your HCIA-AI Exams Fast. All Top H13-311_V3.0 Exam Questions Are Covered.

NEW QUESTION # 124
Not supported in the following options TensorFLow2.0 The attributes for dimensional transformation are.

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

Answer: D


NEW QUESTION # 125
enter 32*32 Image with size 5*5 The step size of the convolution kernel is 1 Convolution calculation, output image Size is:

  • A. 28*28
  • B. 23*23
  • C. 29*29
  • D. 28*23

Answer: A


NEW QUESTION # 126
TensorFlow only supports Python and R language

  • A. False
  • B. True

Answer: A


NEW QUESTION # 127
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

Answer: A


NEW QUESTION # 128
Ce11 Provides basic modules for defining and performing calculations, Ce11 The object can be executed directly, the following statement is wrong?

  • A. __init__,Initialization parameters(Parameter), Submodule(Ce11),operator(Primitive)Equal group Software for initial verification
  • B. Construct, Define the execution process. In graph mode, it will be compiled into graphs for execution, and there is no syntax restriction
  • C. There's some left optim Commonly used optimizers,wrap Pre-defined commonly used network packaging functions Ce11
  • D. bprop (Optional), The reverse of the custom module

Answer: A,C,D


NEW QUESTION # 129
The Python dictionary is widely identified by "{}". and the internal data consists of the key and its corresponding value

  • A. True
  • B. False

Answer: A


NEW QUESTION # 130
the determinant of square matrix A is a scalar.

  • A. True
  • B. False

Answer: A


NEW QUESTION # 131
After the data has completed the feature engineering operation, in the process of constructing the model, which of the following options is not a step in the decision tree construction process?

  • A. Feature selection
  • B. Data cleaning
  • C. Decision tree generation
  • D. Pruning

Answer: B


NEW QUESTION # 132
What are the core concepts in TensorFlow?

  • A. tensor
  • B. dot product
  • C. grid
  • D. calculation graph

Answer: A,D


NEW QUESTION # 133
PEP 8 stipulates how many spaces are needed to indent the first line of Python?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: D


NEW QUESTION # 134
compared to recurrent neural networks, convolutional neural networks are more suitable for image recognition problems.

  • A. True
  • B. False

Answer: A


NEW QUESTION # 135
TensorFlow2.0 not support tensor in GPU with CPU Transfer between each other.

  • A. TRUE
  • B. FALSE

Answer: B


NEW QUESTION # 136
What are the regularizations in deep learning? (Multiple Choice)

  • A. Data set enhancement
  • B. L1 norm. L2 norm
  • C. Dropout
  • D. Integration method

Answer: A,B,C,D


NEW QUESTION # 137
What are the return results of if conditional statements in Python?

  • A. 0
  • B. TRUE
  • C. FALSE
  • D. null

Answer: B,C


NEW QUESTION # 138
Which of the following activation functions are prone to vanishing gradient problems?

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

Answer: A,B


NEW QUESTION # 139
The following statements about overflow and underflow in numerical calculations are correct?

  • A. Underflow occurs when a large number of levels are approximated to positive infinity or negative infinity
  • B. underflow occurs when numbers close to zero are rounded to zero
  • C. An overflow occurs when the number close to zero is rounded to zero
  • D. Overflow occurs when a large number of levels are approximated to positive infinity or negative infinity

Answer: B,D


NEW QUESTION # 140
Which of the following are solutions for the Huawei Cloud El industry scenario? (Multiple Choice)

  • A. Intelligent Finance
  • B. Intelligent transportation
  • C. Intelligent Water
  • D. Intelligent manufacturing
  • E. Intelligent Logistics

Answer: A,B,C,D,E


NEW QUESTION # 141
The model composed of machine learning algorithms cannot represent the true data distribution function on a theoretical level. Just approach it.

  • A. TRUE
  • B. FALSE

Answer: A


NEW QUESTION # 142
Tensorflow is the second generation of artificial intelligence learning system developed by Google based on ( ).

  • A. DistBelief
  • B. Infinity
  • C. ConvexOne
  • D. PaleyFunction

Answer: A


NEW QUESTION # 143
Which of the following options are characteristic of TensorFlow?

  • A. open source
  • B. flexible
  • C. convenient
  • D. mature

Answer: A,B,C,D


NEW QUESTION # 144
Recurrent neural network is different from convolutional neural network, it is better at solving the following problems?

  • A. Image detection
  • B. Sequence related issues
  • C. Image classification
  • D. Recommended question

Answer: B


NEW QUESTION # 145
Tensorflow Operations and Computation Graph are not - run in the Session

  • A. False
  • B. True

Answer: A


NEW QUESTION # 146
The naive Bayes algorithm does not require independent and identical distribution among sample features.

  • A. TRUE
  • B. FALSE

Answer: B


NEW QUESTION # 147
Voice recognition refers to the recognition of audio data as text data.

  • A. TRUE
  • B. FALSE

Answer: A


NEW QUESTION # 148
On-Device Execution, that is, the entire image is offloaded and executed, and the computing power of the Yiteng chip can be fully utilized, which can greatly reduce the interaction overhead, thereby increasing the accelerator occupancy rate. On-Device The following description is wrong?

  • A. Challenges of model execution under super chip computing power: Memory wall problems, high interaction overhead, and difficulty in data supply. Partly in Host Executed, partly in Device Execution, interaction overhead is even much greater than execution overhead, resulting in low accelerator occupancy
  • B. MindSpore Through the chip-oriented depth map optimization technology, the synchronization wait is less, and the "data computing communication" is maximized. The parallelism of "trust", compared with training performance Host Side view scheduling method is flat
  • C. MindSpore Realize decentralized autonomy through adaptive graph optimization driven by gradient data A11 Reduce, Gradient aggregation is in step, and calculation and communication are fully streamlined
  • D. The challenge of distributed gradient aggregation under super chip computing power:ReslNet50 Single iteration 20ms Time will be generated The synchronization overhead of heart control and the communication overhead of frequent synchronization. Traditional methods require 3 Synchronization completed A11 Reduce, Data-driven method autonomy A11 Reduce, No control overhead

Answer: B


NEW QUESTION # 149
......

Penetration testers simulate H13-311_V3.0 exam: https://www.updatedumps.com/Huawei/H13-311_V3.0-updated-exam-dumps.html

Free Test Engine For HCIA-AI V3.0 Exam Certification Exams: https://drive.google.com/open?id=1UuHAdYkjV60GqBSGu2qnVsfkO_6EjUx_