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Total 110 questions
Exam Code: H13-311_V3.0                Update: Oct 15, 2025
Exam Name: HCIA-AI V3.0

Huawei HCIA-AI V3.0 H13-311_V3.0 Exam Dumps: Updated Questions & Answers (October 2025)

Question # 1

What are the regularizations in deep learning? (Multiple Choice)

A.

L1 norm. L2 norm

B.

Data set enhancement

C.

Integration method

D.

Dropout

Question # 2

The trace operation returns the sum of the diagonal elements of the matrix. Therefore, the trace of matrix A and its transposed matrix are equal

A.

True

B.

False

Question # 3

What operating systems does Python support? (Multiple Choice)

A.

DOS

B.

Linux

C.

Mac OSX

D.

Windows

Question # 4

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

A.

Intelligent Logistics

B.

Intelligent Water

C.

Intelligent transportation

D.

Intelligent Finance

E.

Intelligent manufacturing

Question # 5

The number of hidden layers of the deep learning neural network has a certain impact on the performance of the network. The following statement about its impact is correct.: A. The number of hidden layers is

appropriately reduced, and the resolution ability of the neural network remains unchanged

B. Increase the number of hidden layers appropriately, the stronger the resolution ability of the neural network

C. The number of hidden layers is appropriately reduced, the stronger the resolution ability of the neural network is

D. The number of hidden layers increases appropriately, the weaker the resolution ability of the neural network

Question # 6

Which is wrong with the Python module time introduction method?

A.

import time

B.

from time import *

C.

import time as t

D.

from time

Question # 7

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

A.

Gridding

B.

Calculation Chart

C.

Dot Product

D.

Tensor

Question # 8

The correlation coefficient. also known as the linear correlation coefficient, is used to measure the linear relationship between two variables, which is a real number greater than zero

A.

True

B.

False

Question # 9

When we describe the house, we usually use the attributes such as residential area, house type, decoration type, etC. If we use plain With Bayes as a model, we assume that there is no relationship between attributes.

A.

TRUE

B.

FALSE

Question # 10

Which of the following description of the validation set is wrong?

A.

The verification set can coincide with the test set.

B.

The test set can coincide with the training set

C.

The subset used to pick hyperparameters is called a validation set

D.

Typically 80% of the training data 1s used for training and 20% 1s used for verification.

Page: 1 / 11
Total 110 questions

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