New 2025 Realistic H13-321_V2.0-ENU Dumps Test Engine Exam Questions in here [Q74-Q95]

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New 2025 Realistic H13-321_V2.0-ENU Dumps Test Engine Exam Questions in here

Updated Official licence for H13-321_V2.0-ENU Certified by H13-321_V2.0-ENU Dumps PDF

Q74. Which of the following options is not a sequence annotation method?

CRF

MEMM

N-Gram

HNM

Q75. Which of the following options does not belong to the three levels of natural language processing technology?

Speech Analysis

Lexical Analysis

Syntactic Analysis

Semantic Analysis

Q76. What kind of applications can the predictive analysis function in ModelArts automatic learning be used for?

Identify flower species

Segmenting objects in images

Face Recognition

Predicting house prices

Q77. Traditional fully connected neural networks can usually be divided into input layer, () and output layer.

Hidden layer

Q78. Based on Ascend 310, Huawei has created four products for cloud and edge devices, using different forms to meet customers’ performance requirements for inference, namely: Atlas 200 on the device side, Atlas 500 on the edge side, and Atlas 800 and 300 on the data center side.

True

False

Q79. At the bottom of Huawei’s artificial intelligence product stack is (), which can be applied to various scenarios and can be compared to Nvidia ‘s GPU

Ascend AI chip or Ascend chip

Q80. Which of the following annotation types is not available when creating image datasets in ModelArts data management?

Image Segmentation

Image Classification

Object Detection

Image Generation

Q81. Which function is not included in the back propagation algorithm?

Incentive Communication

Weight Update

Normalization

Get the gradient

Q82. Which of the following options belongs to the preparation task before the third step of training the neural network (calculating the loss value between the predicted value and the target value through the loss function)? (Multiple choice)

Define the network structure and initialize network parameters

Model converges and training ends

Update parameters by minimizing the loss value through gradient descent and back propagation algorithm

Input data features and get predicted values through forward propagation

Q83. The acquisition process of digital images is similar to that of the human eye, using a large number of photosensitive sensors to form an array to acquire images. The quality of the image is determined by the number of sensor units, () and sensing performance.

Size

Q84. When trying to use SelectKBest for feature selection, which of the following options uses the card method to select features?

chi2

f_regression

mutual_info_classif

mutual_info_regression

Q85. AI application development process

Data processing, model training, model evaluation, model deployment, model management, maintenance and update

Q86. In Huawei’s artificial intelligence product stack, it can be compared to NVIDIA ‘s CUDA and CUDNN ()

CANN operator library or CANN

Q87. Which of the following descriptions of the bimodal adaptive threshold segmentation method are correct? (Multiple choice)

The bimodal method divides the image into foreground and background according to the grayscale characteristics of the image. The larger the inter-class variance between the foreground and the background, the greater the difference between the two parts that make up the image.

If the image grayscale histogram is obviously bimodal, the grayscale value corresponding to the valley between the two peaks is selected as the threshold for image segmentation.

Histogram bimodal method is an easy-to-understand adaptive threshold algorithm

If the grayscale histogram of the image is very flat or has multiple peaks, the bimodal method cannot be used to obtain a suitable threshold.

Q88. Which of the following options are based on Ascend 310 devices? (Multiple choice)

Atlas 20ODK

Atlas 800 model

Atlas 300 model

Atlas 500 model

Q89. What are the characteristics of ModelArts preset models compared with custom model development? (Multiple choice)

A large amount of data is required

Need to label data

No need to develop your own code

Able to converge faster

Q90. What are the main methods for reducing the dimensionality of an image? (Multiple choice)

Downsampling

Segmentation of Region of Interest

Feature Descriptor

Denoising

Q91. Which of the following options is the API corresponding to the speech synthesis interface?

POST v1.0/voice/ ttl

GET v1.0/voice/ ttl

GET v1.0/voice/ tts

POST v1.0/voice/ tts

Q92. After developers have trained models on ModelArts, they can share them on the AI market to monetize them. They can also use models trained by other developers to quickly integrate them into their own applications and reduce duplication of work.

True

False

Q93. How to label object detection tasks in data management?

Use a circle to frame the target

Use a rectangle to frame the target

Use an ellipse to frame the target

Enter a category label for the image

Q94. () The essence of the filter is to minimize the mean square value of the estimation error (defined as the difference between the expected response and the actual output of the filter), which can be applied to image restoration.

Weiner

Q95. In an 8-bit RGB color image, what color does (255, 255, 255) represent?

Blue

Red

Black

White

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