HCIA-AI V3.0 (H13-311_V3.0) Practice Test

Questions # 21:

K Folding cross-validation refers to dividing the test data set into K Sub-data sets.

Options:

TRUE

FALSE

Questions # 22:

What is the subject of artificial intelligence?

Options:

Mathematics and Physiology

Psychology and Physiology

Linguistics

Comprehensive mterd1sc1pl1nary and marginal d1sc1phnes

Questions # 23:

As the following, what are the Python language design philosophy? (Multiple Choice)

Options:

Beautiful

Expensive

Explicit

Simple

Questions # 24:

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?

Options:

2002

2013

2015

2017

Questions # 25:

The following about the standard RNN Model, the correct statement is?

Options:

There is no one-to-one model structure

Do not consider the time direction when backpropagating

There is no many-to-many model structure

There will be a problem of attenuation of long-term transmission and memory information

Questions # 26:

On the premise of ensuring data privacy and security, federated learning utilizes different data sources to cooperatively train models to improve breakthroughs in data bottlenecks.

Options:

TRUE

FALSE

Questions # 27:

GPU Good at computationally intensive and easy to parallel programs.

Options:

TRUE

FALSE

Questions # 28:

In supervised learning," Those who are near Zhu are red and those who are near Mo are black"Is used to describe which of the following models?

Options:

K-Means

SVM

KNN

Neural Networks

Questions # 29:

Which of the following descriptions of the depth feedforward network is correct?

Options:

Deep feedforward network 1s a kind of neural network.

The deep feedforward network has only one hidden layer.

The unit on the hidden layer of the deep feedforward network will have countless.

Deep feedforward network 1s used to deal with linear problems.

Questions # 30:

When dealing with actual problems, when should machine learning be used in the following situations?

Options:

The data distribution itself changes over time, requiring continuous re-adaptation of the program, such as predicting the trend of merchandise sales

The complexity of the rules is low, and the problem is small

Task rules will change over time, such as defect detection on the production line

The rules are very complicated or cannot be described, such as face recognition and voice recognition

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