Huawei HCIP-AI-EI Developer V2.0 : H13-321_V2.0-ENU

  • Exam Code: H13-321_V2.0-ENU
  • Exam Name: HCIP-AI-EI Developer V2.0
  • Updated: Sep 01, 2026     Q & A: 574 Questions and Answers

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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:

SectionWeightObjectives
Theoretical Knowledge and Applications of Speech Processing10%- Speech recognition and synthesis
- Acoustic and language models
- Speech processing basics
Speech Processing Lab Guide12%- Speech application development on ModelArts
Overview of ModelArts4%- Development and deployment workflow
- ModelArts platform architecture
Natural Language Processing Lab Guide10%- NLP project practice on ModelArts
Theoretical Knowledge and Applications of Natural Language Processing10%- Text processing and representation
- Common NLP tasks and applications
- NLP core concepts
ModelArts Platform Development Experiment10%
Overview of Huawei AI Development Strategy and Full-Stack, All-Scenario AI Portfolio2%
Image Processing Lab Guide12%- ModelArts-based image development
Theoretical Knowledge and Applications of Image Processing26%- Image preprocessing and feature extraction
- Computer vision overview
- Convolutional neural networks
- Image recognition, detection and segmentation
Neural Network Basics4%- Network training and optimization
- Deep learning fundamentals
- Artificial neural network principles

Huawei HCIP-AI-EI Developer V2.0 Sample Questions:

Question 1

Deep learning model training requires a large amount of data. In actual operation, random noise can be added to the training image data set through data enhancement technology to expand the sample size of the data set.

A. False
B. True


Question 2

cv2.LUT (img, trans_table) function means using OpenCV's look up table function to modify the grayscale value of the image.

A. False
B. True


Question 3

Syntactic analysis generally uses a syntax tree to represent the analysis results.

A. False
B. True


Question 4

What is the main function of the convolution kernel?

A. Extracting local features
B. Color Enhancement
C. Dimensionality reduction
D. Change image size


Question 5

Language models can be used to solve problems such as predicting the next word based on context.

A. False
B. True


Solutions:

Question 1
Answer: B
Question 2
Answer: B
Question 3
Answer: B
Question 4
Answer: A
Question 5
Answer: B

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