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

  • Exam Code: H13-321_V2.0-ENU
  • Exam Name: HCIP-AI-EI Developer V2.0
  • Updated: Sep 26, 2026
  • Q & A: 574 Questions and Answers

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

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

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

Question #1

Which of the following options is a hyperparameter? (Multiple choice)

  • A. K in K-Means
  • B. Information entropy in decision trees
  • C. C in SVM
  • D. K in KNN
Reveal Solution  Discussion  0

Correct Answer: A,C,D  🗳️

Question #2

What is the spatial adjacency relationship between the two pixels with coordinates (21, 13) and (22, 12)?

  • A. 8-adjacency
  • B. Diagonal adjacency
  • C. 4-adjacency
  • D. No adjacency exists
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #3

When using ModelArts automatic learning to build an image classification project, the images used for training must have at least () categories, and the number of images for each category must be no less than ()

Reveal Solution  Discussion  0

Correct Answer:

2|5

Question #4

The Markov characteristic in the HMM model is reflected in the fact that the occurrence of the state at the next time point is related to all historical states.

  • A. True
  • B. False
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #5

What does the image object detection algorithm need to complete? (Multiple choice)

  • A. Determination of target category
  • B. Calculation of target edges (image segmentation)
  • C. Calculation of target position
  • D. Calculation of confidence (degree of certainty, a value between 0 and 1)
Reveal Solution  Discussion  0

Correct Answer: A,C,D  🗳️

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