[Sep 19, 2022] H13-311_V3.0 Practice Exam Dumps – 99% Marks In Huawei Exam [Q130-Q146]

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[Sep 19, 2022] H13-311_V3.0 Practice Exam Dumps – 99% Marks In Huawei Exam

Updated Verified H13-311_V3.0 Q&As – Pass Guarantee or Full Refund

Huawei H13-311_V3.0 Exam Syllabus Topics:

Topic Details
Topic 1
  • Other Key Machine Learning Methods
  • Machine Learning Definition
  • HUAWEI CLOUD Enterprise Intelligence Application Platform
Topic 2
  • Software Architecture of Ascend Chips
  • Common Modules of TensorFlow 2.x
Topic 3
  • Developing Apps Based on Huawei HiAI Platform
  • Technical Fields and Application Fields of AI
Topic 4
  • Machine Learning Experiment
  • Mainstream Development Frameworks
  • Huawei AI Computing Platform Atlas
Topic 5
  • Huawei Open AI Platform for Smart Devices
  • Basic Steps of Deep Learning Development
Topic 6
  • Mainstream Development Framework and Deep Learning Experiment
  • Common Machine Learning Algorithms
Topic 7
  • Mainstream Development Frameworks for AI
  • Huawei’s AI Development Strategy
  • Industry Applications of Atlas
Topic 8
  • Hardware Architecture of Ascend Chips
  • MindSpore Development and Application

 

Q130. Which of the following options is not a tensor attribute?

 
 
 
 

Q131. Generating a confrontation network is like a game system. The generator generates fake samples, and the discriminator judges whether it is true or false. Our ideal result is?

 
 
 
 

Q132. HUAWEI HiAI Which tool does the platform support to integrate with?

 
 
 
 

Q133. TensorFlow framework does not support Windows systems.

 
 

Q134. the vector is a number.

 
 

Q135. Which of the following are solutions for Huawei Cloud EI industry scenarios?

 
 
 
 
 

Q136. The following belongs to TensorFlow2.0 The characteristic is?

 
 
 
 

Q137. Which of the following options belong to Tensorflow concept? (Multiple Choice)

 
 
 
 
 

Q138. Which of the following options is not the Tensorflow build process?

 
 
 
 

Q139. As shown in the figure below, which of the following options are the eigenvalues of matrix A?

 
 
 
 

Q140. Add to the loss function of linear regression L1 Regular term, this time the regression is called Lasso return.

 
 

Q141. Which of the following can optimization problem be classified according to the constraints? (Multiple choice)

 
 
 
 

Q142. From the perspective of technical architecture AI The classification of chips includes?

 
 
 
 

Q143. Feature is the dimension that describes the characteristics of the sample. Regarding its interpretability in traditional machine learning and deep learning, the following statement is correct:

 
 
 
 

Q144. The optimizer is an important part of training neural networks. The purpose of using the optimizer does not include which of the following:

 
 
 
 

Q145. Which of the following are solutions for the Huawei Cloud El industry scenario? (Multiple Choice)

 
 
 
 
 

Q146. What are the core concepts in TensorFlow? (Multiple Choice)

 
 
 
 

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