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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Natural Language Processing Labs | - Practical Development
|
| ModelArts Platform Overview | - AI Development Platform
|
| Image Processing Labs | - Practical Development
|
| Huawei AI Development Strategy and AI Portfolio | - Huawei AI Ecosystem
|
| Neural Network Basics | - Neural Network Fundamentals
|
| Speech Processing Labs | - Practical Development
|
| Image Processing Theory and Applications | - Computer Vision Fundamentals
|
| Speech Processing Theory and Applications | - Speech AI Technologies
|
| Natural Language Processing Theory and Applications | - NLP Fundamentals
|
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. After the ModelArts model training is completed, it supports one-click deployment on the end, edge, and cloud.
A) False
B) True
2. Which of the following is not a common method for text vectorization?
A) CBOW
B) EM
C) DM
D) DBOW
3. CANN 's () combined with Shengteng's chips can reduce parameter calculations.
4. Which of the following options are correct about the description of rectangular window and Hamming window? (Multiple choice)
A) The side lobe peak of the rectangular window is large, so its spectrum leakage is more serious
B) The main lobe width of the Hamming window is larger than that of the rectangular window, and has a higher spectral resolution (the rectangular frame has a higher spectral resolution)
C) The rectangular window has better smoothness, but the waveform details are lost and leakage occurs (Yes, new version PPT page 253)
D) The Hamming window can effectively overcome the leakage phenomenon and has the widest application range.
5. The English abbreviation of speech synthesis:
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: Only visible for members | Question # 4 Answer: A,C,D | Question # 5 Answer: Only visible for members |
