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Free Huawei H13-321 Practice Questions & Answers 2026 Part1 | HCIP-AI-EI Developer

Are you preparing for the Huawei H13-321 certification exam? SPOTO offers the Huawei H13-321 Premium File; all questions are aligned with the latest exam content and come with expert-provided answers. Our question banks cover the latest question types, core concepts, and detailed explanations, helping you familiarize yourself with the exam format and difficulty level. Whether you are reviewing core concepts or simulating a real exam environment, these resources will rapidly boost your confidence and readiness.
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Question #1
(Judgment) Back propagation is a common method used to train artificial neural networks.
A. TRUE
B. FALSE
View answer
Correct Answer: A
Question #2
What are the processing procedures included in image digitization? (Multiple choices)
A. Binarization
B. Quantification
C. Grayscale transformation
D. Sampling
View answer
Correct Answer: ABCD
Question #3
How many brightness changes can a 4 - bit image distinguish? (Single choice)
A. 8
B. 16
C. 128
D. 256
View answer
Correct Answer: A
Question #4
Modifying the H component of the HSV color space will change the image? (Single choice)
A. Hue
B. Brightness
C. Saturation
D. Contrast
View answer
Correct Answer: D
Question #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
View answer
Correct Answer: A
Question #6
What are the speech synthesis methods? (Multiple Choice)
A. ormant synthesizer
B. eries formant synthesizer
C. arallel formant synthesizer
D. SOLA method
View answer
Correct Answer: ABCD
Question #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
View answer
Correct Answer: A
Question #8
What algorithm engines are supported by ModelArts training assignments? (Multiple Choice)
A. yTorch
B. XNet
C. park MLlib
D. ensorFlow
View answer
Correct Answer: ABCD
Question #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
View answer
Correct Answer: ABCDE
Question #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
View answer
Correct Answer: A
Question #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
View answer
Correct Answer: C
Question #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
View answer
Correct Answer: ABC
Question #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
View answer
Correct Answer: A
Question #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
View answer
Correct Answer: C
Question #15
Which preset models does ModelArts currently support? (multiple choices)
A. ene sequencing
B. bject detection
C. mage classification
D. mage segmentation
View answer
Correct Answer: BCD
Question #16
(Judgment) Back propagation is a common method used to train artificial neural networks.
A. TRUE
B. FALSE
View answer
Correct Answer: A
Question #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
View answer
Correct Answer: AD
Question #18
Maximum estimation requires knowing the distribution type of sample data.
A. TRUE
B. FALSE
View answer
Correct Answer: B
Question #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
View answer
Correct Answer: BC
Question #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
View answer
Correct Answer: D
Question #21
Markov chain is a discrete event stochastic process with Markov properties in exponential science.
A. TRUE
B. FALSE
View answer
Correct Answer: A
Question #22
What are the properties of Markov chains?
A. Positive definiteness
B. Continuity
C. Discreteness
D. Limitation
View answer
Correct Answer: AD
Question #23
The status sequence of HMM can neither be obtained directly nor through observation sequence.
A. TRUE
B. FALSE
View answer
Correct Answer: B
Question #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
View answer
Correct Answer: A
Question #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
View answer
Correct Answer: AD
Question #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
View answer
Correct Answer: D
Question #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
View answer
Correct Answer: CD
Question #28
Dropout is to randomly discard a certain proportion of sample data during model training.
A. TRUE
B. FALSE
View answer
Correct Answer: B
Question #29
What is not part of the DNN structure?
A. Dropout
B. Activation function
C. Weight
D. Hidden layer
View answer
Correct Answer: A
Question #30
DNN model decoding acceleration methods include?
A. Multi-frame DNN
B. Parallel computing
C. Low approximation
D. Sparse network
View answer
Correct Answer: ABCD
Question #31
Which of the following steps in the MFC extraction process?
A. Add window
B. Framing
C. Fourier transform
D. Cepstrum analysis
View answer
Correct Answer: ABCD
Question #32
What are the cutting-edge voice technologies?
A. Adaptive technology
B. Neural Network
C. Language model
D. Quantum computing
View answer
Correct Answer: ABC
Question #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
View answer
Correct Answer: ABCD
Question #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
View answer
Correct Answer: A
Question #35
The technology of converting text information into speech is called speech synthesis?
A. TRUE
B. FALSE
View answer
Correct Answer: A
Question #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
View answer
Correct Answer: B
Question #37
What is not an acoustic feature of speech?
A. Frequency
B. Duration
C. Amplitude
D. Semantics
View answer
Correct Answer: D
Question #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
View answer
Correct Answer: D
Question #39
The fully connected layer acts as a classifier in the convolutional neural network.
A. TRUE
B. FALSE
View answer
Correct Answer: A
Question #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
View answer
Correct Answer: A

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