- Exam Code: H13-321_V2.5
- Exam Name: HCIP-AI-EI Developer V2.5
- Updated: Aug 14, 2026
- Q & A: 62 Questions and Answers
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Overview of ModelArts | 4% | - Core functions and service modules - Basic operation process - ModelArts positioning and architecture |
| Topic 2: Speech Processing Lab Guide | 12% | - Speech model building and tuning - Application deployment and verification - Speech data processing practice |
| Topic 3: Neural Network Basics | 4% | - Training and optimization methods - Common neural network structures - Basic concepts of neural networks |
| Topic 4: Theoretical Knowledge and Applications of Speech Processing | 10% | - Application cases - Speech recognition and synthesis - Speech feature extraction - Speech signal processing foundation |
| Topic 5: Natural Language Processing Lab Guide | 10% | - Text preprocessing and feature engineering - End-to-end application development - NLP model training and evaluation |
| Topic 6: Image Processing Lab Guide | 12% | - Performance optimization and testing - Image processing model development and deployment - Development environment setup |
| Topic 7: Theoretical Knowledge and Applications of Image Processing | 26% | - Feature extraction and representation - Typical application scenarios - Image preprocessing technology - Image classification, detection and segmentation |
| Topic 8: Overview of Huawei's AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - All-scenario AI solutions - Full-stack AI technology system - Huawei AI development layout |
| Topic 9: Theoretical Knowledge and Applications of Natural Language Processing | 10% | - Machine translation, text generation and other technologies - Practical application - Text processing and representation - Language model and semantic understanding |
1. Which of the following are object detection algorithms?
A) Faster-R-CNN
B) R-CNN
C) YOLO
D) SSD
2. Which of the following statements about the standard normal distribution are true?
A) The mean is 1.
B) The variance is 1.
C) The mean is 0.
D) The variance is 0.
3. What are the adjacency relationships between two pixels whose coordinates are (21,13) and (22,12)?
A) Diagonal adjacency
B) 8-adjacency
C) 4-adjacency
D) No adjacency relationship
4. Which of the following statements about the multi-head attention mechanism of the Transformer are true?
A) Each header's query, key, and value undergo a shared linear transformation to obtain them.
B) The concatenated output is fed directly into the multi-headed attention mechanism.
C) The dimension for each header is calculated by dividing the original embedded dimension by the number of headers before concatenation.
D) The multi-head attention mechanism captures information about different subspaces within a sequence.
5. Which of the following are the impacts of the development of large models?
A) Large models will completely replace small and domain-specific models
B) The accuracy and efficiency of natural language processing tasks will improve
C) Data privacy and security issues will be exacerbated
D) Model pre-training costs will be reduced
Solutions:
| Question # 1 Answer: A,B,C,D | Question # 2 Answer: B,C | Question # 3 Answer: A,B | Question # 4 Answer: C,D | Question # 5 Answer: B,C |
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