Learn with Huawei : H13-321_V2.0 training material for 100% pass

Last Updated: Jul 19, 2026

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Huawei H13-321_V2.0 Exam Syllabus Topics:

SectionObjectives
Topic 1: Neural Network Basics- Neural Network Fundamentals
  • 1. Common Neural Network Models
  • 2. Artificial Neural Networks
  • 3. Deep Learning Basics
Topic 2: Huawei AI Development Strategy and AI Portfolio- Huawei AI Ecosystem
  • 1. All-Scenario AI Architecture
  • 2. Full-Stack AI Strategy
  • 3. Huawei Cloud EI Services
Topic 3: Image Processing Labs- Practical Development
  • 1. Image Processing Experiments
  • 2. Computer Vision Implementation
Topic 4: Natural Language Processing Labs- Practical Development
  • 1. Text Analysis Experiments
  • 2. NLP Model Applications
Topic 5: Image Processing Theory and Applications- Computer Vision Fundamentals
  • 1. Object Detection
  • 2. Image Classification
  • 3. Image Recognition Applications
Topic 6: ModelArts Platform Overview- AI Development Platform
  • 1. AI Workflow Management
  • 2. Model Training
  • 3. Model Deployment
Topic 7: Speech Processing Labs- Practical Development
  • 1. Speech Recognition Experiments
  • 2. Speech AI Applications
Topic 8: Speech Processing Theory and Applications- Speech AI Technologies
  • 1. Speech Processing Scenarios
  • 2. Speech Synthesis
  • 3. Speech Recognition
Topic 9: Natural Language Processing Theory and Applications- NLP Fundamentals
  • 1. Language Understanding
  • 2. Text Processing
  • 3. NLP Application Development

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

1. For a 32-level grayscale image, how many levels can be distinguished from the darkest to the brightest at each sampling point?

A) 128
B) 32
C) 256
D) 64


2. The original value of the recorded pixel is s, and the value of the pixel after the change is d. The mapping function of the grayscale change is d= ks. When k>0, the grayscale stretching of the dark part of the image can be achieved.

A) False
B) True


3. A model that mixes several linear models is called a linear mixed model.

A) False
B) True


4. Which of the following functions belong to the operations of OpenCV color space conversion? (Multiple choice)

A) cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
B) cv2.imread(r\ lena. png \, 1)
C) cv2.imwrite('lena.jpg', im)
D) cv2.cvtColor(image, cv2.COLOR_BGR2RGB)


5. What are the algorithms for regular word segmentation? (Multiple choice)

A) Bidirectional Maximum Matching Method
B) Polynomial Maximum Matching Method
C) Forward maximum matching
D) Reverse Maximum Matching Method


Solutions:

Question # 1
Answer: B
Question # 2
Answer: A
Question # 3
Answer: B
Question # 4
Answer: A,D
Question # 5
Answer: A,C,D

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