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Exam Code: H13-321_V2.0
Exam Name: HCIP-AI-EI Developer V2.0
Updated: Jul 31, 2026
Q & A: 574 Questions and Answers
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Overview of ModelArts | 4% | - Development and deployment workflow - ModelArts platform architecture |
| Topic 2: Neural Network Basics | 4% | - Deep learning fundamentals - Artificial neural network principles - Network training and optimization |
| Topic 3: Theoretical Knowledge and Applications of Natural Language Processing | 10% | - Common NLP tasks and applications - Text processing and representation - NLP core concepts |
| Topic 4: Image Processing Lab Guide | 12% | - ModelArts-based image development |
| Topic 5: Theoretical Knowledge and Applications of Speech Processing | 10% | - Speech processing basics - Speech recognition and synthesis - Acoustic and language models |
| Topic 6: ModelArts Platform Development Experiment | 10% | |
| Topic 7: Natural Language Processing Lab Guide | 10% | - NLP project practice on ModelArts |
| Topic 8: Speech Processing Lab Guide | 12% | - Speech application development on ModelArts |
| Topic 9: Theoretical Knowledge and Applications of Image Processing | 26% | - Convolutional neural networks - Computer vision overview - Image recognition, detection and segmentation - Image preprocessing and feature extraction |
| Topic 10: Overview of Huawei AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% |
1. The goal of artificial intelligence is to make computers as smart as humans.
A) False
B) True
2. The maximum likelihood method is also called maximum likelihood estimation.
A) False
B) True
3. The coordinates of the four diagonal neighborhood points corresponding to P(x, y) : (x+1, y+1), (x-1, y-1), (x-1, y+1), (x+1, y-1) The coordinates of the four 4-neighborhood points corresponding to P(x, y): ()
4. () 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.
5. What are the commonly used ways to connect pixels? (Multiple choice)
A) 12 Connectivity
B) 16 connections
C) 8-connectivity
D) 4 Connectivity
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: Only visible for members | Question # 4 Answer: Only visible for members | Question # 5 Answer: C,D |
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