H13-311_V3.5 Practice Exam Questions and Answers

A.  

Decision tree generation

B.  

Pruning

C.  

Feature selection

D.  

Data cleansing

A.  

TRUE

B.  

FALSE

A.  

TRUE

B.  

FALSE

A.  

TRUE

B.  

FALSE

A.  

PyTorch

B.  

MindSpore

C.  

TensorFlow

D.  

OpenCV

A.  

Determining the target domain of the knowledge graph

B.  

Data acquisition

C.  

Creating new concepts

D.  

Knowledge fusion

A.  

Each time the global gradient updates its weight, all training samples need to be calculated.

B.  

When GPUs are used for parallel computing, the mini-batch gradient descent (MBGD) takes less time than the stochastic gradient descent (SGD) to complete an epoch.

C.  

The global gradient descent is relatively stable, which helps the model converge to the global extremum.

D.  

When there are too many samples and GPUs are not used for parallel computing, the convergence process of the global gradient algorithm is time-consuming.

A.  

This statement is false. The application fields of AI include computer vision, speech processing, natural language processing, and others.

B.  

This statement is false. AI application fields include only computer vision and natural language processing.

C.  

This statement is true. Voice data is processed with extremely high accuracy.

D.  

This statement is true. Computer vision is the most important AI application.

A.  

TRUE

B.  

FALSE