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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Neural Network Basics | 4% | |
| ModelArts Lab Guide | 10% | |
| Speech Processing Lab Guide | 12% | |
| Overview of Huawei's AI Development Strategy and Full-Stack All-Scenario AI Portfolio | 2% | |
| Speech Processing Theory and Applications | 10% | |
| Natural Language Processing Lab Guide | 10% | |
| Image Processing Lab Guide | 12% | |
| Natural Language Processing Theory and Applications | 10% | |
| Overview of ModelArts | 4% | |
| Image Processing Theory and Applications | 26% |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. In Huawei Cloud Face Recognition Service, users can create multiple face libraries without restrictions.
A) True
B) False
2. Which of the following options are common unsupervised algorithms? (Multiple choice)
A) Spectral clustering
B) GMM
C) PCA
D) k-means
3. What are the methods for extracting speech signal features? (Multiple choice)
A) Mel Frequency Cepstral Coefficient (MFCC)
B) Line Spectral Pair Parameter (LSP)
C) Linear Prediction Coefficient (LPC)
D) Perceptual Linear Prediction (PLP)
4. Which of the following is not a speech feature extraction method?
A) LPC
B) SVM
C) LPCC
D) MFCC
5. Token can be understood as a bridge between voice and text. Please sort the following tokens in ascending order of granularity. Phoneme Phoneme State State Word Word Syllable Syllable
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A,B,C,D | Question # 3 Answer: A,B,C,D | Question # 4 Answer: B | Question # 5 Answer: Only visible for members |
