السؤال #1

(Judgment) Back propagation is a common method used to train artificial neural networks.

A. TRUE

B. FALSE

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اجابة صحيحة: A

السؤال #2

What are the processing procedures included in image digitization? (Multiple choices)

A. Binarization

B. Quantification

C. Grayscale transformation

D. Sampling

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اجابة صحيحة: ABCD

السؤال #3

How many brightness changes can a 4 - bit image distinguish? (Single choice)

A. 8

B. 16

C. 128

D. 256

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اجابة صحيحة: A

السؤال #4

Modifying the H component of the HSV color space will change the image? (Single choice)

A. Hue

B. Brightness

C. Saturation

D. Contrast

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اجابة صحيحة: D

السؤال #5

(Judgment) The background difference method is to use the current frame in the image sequence and the background reference model for subtraction, which can realize the detection of moving objects in the image.

A. TRUE

B. FALSE

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اجابة صحيحة: A

السؤال #6

What are the speech synthesis methods? (Multiple Choice)

A. ormant synthesizer

B. eries formant synthesizer

C. arallel formant synthesizer

D. SOLA method

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اجابة صحيحة: ABCD

السؤال #7

(Judgment) The Gaussian model is to accurately quantify things with a Gaussian density function,and decompose a thing into several models based on Bernoulli distribution.

A. RUE

B. ALSE

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اجابة صحيحة: A

السؤال #8

What algorithm engines are supported by ModelArts training assignments? (Multiple Choice)

A. yTorch

B. XNet

C. park MLlib

D. ensorFlow

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اجابة صحيحة: ABCD

السؤال #9

Named entity recognition refers to recognizing entities with specific meanings in the text. Whichones are mainly included? (Multiple Choice)

A. ame

B. lace name

C. rganization name

D. ime

E. ate

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اجابة صحيحة: ABCDE

السؤال #10

(Judgment) TF-IDF is a calculation method based on statistics, which is often used to evaluate theimportance of a word in a document set to all documents.

A. RUE

B. ALSE

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اجابة صحيحة: A

السؤال #11

Which of the following options is not a commonly used algorithm for keyword extraction? (Singlechoice)

A. F-IDF

B. extRank

C. SA

D. DA

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اجابة صحيحة: C

السؤال #12

How many sources does the data set in ModelArts data management have? (Multiple Choices)

A. pload and create local files from OBS

B. mport from the ModelArts market

C. fter the data is marked, it is released into a data set

D. pload and create local files from the web page

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اجابة صحيحة: ABC

السؤال #13

(Judgment) In general, Huawei's artificial intelligence development strategy is based on continuousinvestment in basic research and AI talent training, creating a full-stack full-scenario AI solution andanopenglobalecology.

A. RUE

B. ALSE

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اجابة صحيحة: A

السؤال #14

What are the main functions of MoXing? (Single choice)

A. eep learning tool library developed by Huawei

B. eep learning engine developed by Huawei

C. ackage and acceleration of distributed training acceleration framework and API interface of deep learning engines such as TensorFlow

D. imple encapsulation of API interfaces for deep learning engines such as TensorFlow

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اجابة صحيحة: C

السؤال #15

Which preset models does ModelArts currently support? (multiple choices)

A. ene sequencing

B. bject detection

C. mage classification

D. mage segmentation

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اجابة صحيحة: BCD

السؤال #16

(Judgment) Back propagation is a common method used to train artificial neural networks.

A. TRUE

B. FALSE

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اجابة صحيحة: A

السؤال #17

What is the description of the standard normal distribution?

A. Expectation is 0

B. Expectation is 1

C. The variance is 0

D. The variance is 1

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اجابة صحيحة: AD

السؤال #18

Maximum estimation requires knowing the distribution type of sample data.

A. TRUE

B. FALSE

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اجابة صحيحة: B

السؤال #19

What is the correct description of probability and likelihood?

A. If the random variable X follows a certain distribution, the likelihood refers to the possibility of X = x given the parameters

B. If the random variable X follows a certain distribution, the probability refers to the probability of X = x given the parameters

C. If the random variable X follows a certain distribution, the likelihood refers to the truthfulness of a group of parameters under the condition of X = x

D. If the random variable X follows a certain distribution, the probability refers to the fact that a certain set of parameters has a truth size under the condition of X=x

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اجابة صحيحة: BC

السؤال #20

What is the most accurate estimation process?1. Log-likelihood function2. Probability density function3. Likelihood function4. Derivative and make the equation 05. Solving equations

A. 4-1-3-2-5

B. 1-3-4-2-5

C. 2-1-3-4-5

D. 2-3-1-4-5

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اجابة صحيحة: D

السؤال #21

Markov chain is a discrete event stochastic process with Markov properties in exponential science.

A. TRUE

B. FALSE

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اجابة صحيحة: A

السؤال #22

What are the properties of Markov chains?

A. Positive definiteness

B. Continuity

C. Discreteness

D. Limitation

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اجابة صحيحة: AD

السؤال #23

The status sequence of HMM can neither be obtained directly nor through observation sequence.

A. TRUE

B. FALSE

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اجابة صحيحة: B

السؤال #24

In the GMM-HMM model, GMM is mainly used to find the probability of a certain factor, and HMM is mainly used to model each text-speech pair.

A. TRUE

B. FALSE

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اجابة صحيحة: A

السؤال #25

What is the correct description of the nature of the probability density function?

A. The integral of the probability density function in positive and negative infinity is 0

B. The value of the probability density function is greater than or equal to 0

C. The value of the probability density function can take any value

D. The integral of the probability density function at positive and negative infinity is 1

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اجابة صحيحة: AD

السؤال #26

What are the main functions of GMM in traditional speech recognition tasks?

A. The probability that the output feature corresponds to the frame

B. Probability of output features corresponding to speech

C. Probability of corresponding state of output feature

D. Probability of corresponding factors of output characteristics

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اجابة صحيحة: D

السؤال #27

What are the tasks in the voice domain that GMM is suitable for processing? (multiple choices)

A. Speech recognition

B. Speech synthesis

C. Voice noise reduction

D. Voice tracking

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اجابة صحيحة: CD

السؤال #28

Dropout is to randomly discard a certain proportion of sample data during model training.

A. TRUE

B. FALSE

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اجابة صحيحة: B

السؤال #29

What is not part of the DNN structure?

A. Dropout

B. Activation function

C. Weight

D. Hidden layer

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اجابة صحيحة: A

السؤال #30

DNN model decoding acceleration methods include?

A. Multi-frame DNN

B. Parallel computing

C. Low approximation

D. Sparse network

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اجابة صحيحة: ABCD

السؤال #31

Which of the following steps in the MFC extraction process?

A. Add window

B. Framing

C. Fourier transform

D. Cepstrum analysis

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اجابة صحيحة: ABCD

السؤال #32

What are the cutting-edge voice technologies?

A. Adaptive technology

B. Neural Network

C. Language model

D. Quantum computing

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اجابة صحيحة: ABC

السؤال #33

What is the difficulty of speech recognition?

A. Dialect recognition

B. Multiplayer scene recognition

C. High noise field identification

D. Recognition of far-field gram wind

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اجابة صحيحة: ABCD

السؤال #34

Natural language processing can be defined as a discipline that studies language issues in human-to- human communication and computational communication. Phenotypes of natural language processing Evaluation technology of various systems.

A. TRUE

B. FALSE

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اجابة صحيحة: A

السؤال #35

The technology of converting text information into speech is called speech synthesis?

A. TRUE

B. FALSE

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اجابة صحيحة: A

السؤال #36

Which of the following options is not a method in the development of natural language processing?

A. Methods based on deep learning

B. Statistical-based methods

C. Method based on recursion

D. Rule-based approach

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اجابة صحيحة: B

السؤال #37

What is not an acoustic feature of speech?

A. Frequency

B. Duration

C. Amplitude

D. Semantics

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اجابة صحيحة: D

السؤال #38

What is the correct description about the Gaussian distribution curve?

A. The Gaussian curve is bell-shaped, with both ends high and the middle low

B. The smaller the standard deviation, the flatter the curve

C. The larger the standard deviation, the thinner and taller the curve

D. The Gaussian curve is bell-shaped, with both ends low and the middle high

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اجابة صحيحة: D

السؤال #39

The fully connected layer acts as a classifier in the convolutional neural network.

A. TRUE

B. FALSE

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اجابة صحيحة: A

السؤال #40

Use a 3*3 convolution kernel to convolve a three-channel color image. What is the number of parameters to be learned?

A. 27

B. 9

C. 28

D. 10

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اجابة صحيحة: A

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