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

Questions # 1:

Which of the following is not a specific technology of artificial intelligence?

Options:

Knowledge map

Machine translation

Riemann geometry

Semantic understanding

Questions # 2:

From the labeled historical data, we can predict that the retail sales of the next quarter will be in 20-30 Wan still 30-40 Ten thousand", What is the problem?

Options:

Regression problem

Rule problem

Classification problem

Clustering problem

Questions # 3:

What people say about neural networks is wrong?

Options:

As the number of hidden layers of the neural network increases, the classification ability of the model gradually weakens

The limitation of a single-layer perceptron is that it cannot solve the XOR problem

The feedforward neural network can be represented by a directed acyclic graph

There is no connection between neurons in the same layer of the feedforward neural network

Questions # 4:

GBDT Compared with the random forest algorithm, which of the following statements is wrong?

Options:

GBDT Algorithm is easier to underfit than random forest

Random forest is calculated in parallel, while GBDT Can't

GBDT Algorithm is easier to overfit than random forest

GBDT And random forest are built on CART Based on the tree

Questions # 5:

Computer vision is the study of how to make computers "see".

Options:

TRUE

FALSE

Questions # 6:

AI Chips are divided into business applications and can be divided into?

Options:

training

GPU

Model building

reasoning

Questions # 7:

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

Options:

TRUE

FALSE

Questions # 8:

Which of the following are the characteristics of the Python language? {Multiple choice)

Options:

Explanatory

Process oriented

Object-oriented

Dynamic data type

Questions # 9:

According to the definition of information entropy what is the bit entropy of throwing a uniform coin?

Options:

0.5

-1

Questions # 10:

Which of the following is true about unsupervised learning?

Options:

Unsupervised algorithm only processes “features” and does not process ·tags·

Dimensionality reduction algorithm is not unsupervised learning

K-means algorithm and SVM algorithm belong lo unsupervised learning

None of the above

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