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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Overview of Huawei AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | |
| Topic 2: Theoretical Knowledge and Applications of Image Processing | 26% | - Convolutional neural networks - Image recognition, detection and segmentation - Computer vision overview - Image preprocessing and feature extraction |
| Topic 3: Overview of ModelArts | 4% | - Development and deployment workflow - ModelArts platform architecture |
| 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: Theoretical Knowledge and Applications of Natural Language Processing | 10% | - Common NLP tasks and applications - Text processing and representation - NLP core concepts |
| Topic 7: ModelArts Platform Development Experiment | 10% | |
| Topic 8: Natural Language Processing Lab Guide | 10% | - NLP project practice on ModelArts |
| Topic 9: Neural Network Basics | 4% | - Deep learning fundamentals - Artificial neural network principles - Network training and optimization |
| Topic 10: Speech Processing Lab Guide | 12% | - Speech application development on ModelArts |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. Probability refers to the authenticity of a set of parameters given a result.
A) True
B) False
2. GMM is a linear mixture of multiple Gaussian models.
A) True
B) False
3. What text annotation tasks does ModelArts support?
A) All of the above are true
B) Text Classification
C) Text triples
D) Name recognition
4. RNN can save context information.
A) True
B) False
5. When implementing speech technology, we often encounter many problems and difficulties. Which of the following is the difficulty of speech recognition? (Multiple choice)
A) Multi-person scene recognition
B) Dialect Identification
C) High-noise scene recognition
D) Far-field microphone recognition
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: A,B,C,D |







