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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Overview of ModelArts | 4% | - ModelArts platform architecture - Development and deployment workflow |
| Theoretical Knowledge and Applications of Speech Processing | 10% | - Acoustic and language models - Speech recognition and synthesis - Speech processing basics |
| Overview of Huawei AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | |
| Natural Language Processing Lab Guide | 10% | - NLP project practice on ModelArts |
| Theoretical Knowledge and Applications of Image Processing | 26% | - Computer vision overview - Image recognition, detection and segmentation - Convolutional neural networks - Image preprocessing and feature extraction |
| Image Processing Lab Guide | 12% | - ModelArts-based image development |
| ModelArts Platform Development Experiment | 10% | |
| Neural Network Basics | 4% | - Deep learning fundamentals - Network training and optimization - Artificial neural network principles |
| Theoretical Knowledge and Applications of Natural Language Processing | 10% | - NLP core concepts - Common NLP tasks and applications - Text processing and representation |
| Speech Processing Lab Guide | 12% | - Speech application development on ModelArts |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. Which of the following options does not belong to the three elements of the Markov model?
A) Observation Probability
B) State Collection
C) Initial Probability
D) Transition Probability
2. Maximum likelihood estimation does not require specifying in advance that the data follows a certain distribution
A) True
B) False
3. Which of the following is correct about the Gaussian distribution curve?
A) The Gaussian curve is bell-shaped, with high ends and low in the middle.
B) The Gaussian curve is bell-shaped, with low ends and high in the middle.
C) The smaller the standard deviation, the flatter the curve
D) The larger the standard deviation, the taller the curve.
4. In the vehicle detection scenario of traffic law enforcement, it is better to miss the penalty for the illegal vehicle than to report it falsely, so as to avoid the wrong fine. Which indicator of the system needs to be very high?
A) Confidence
B) Precision
C) Accuracy
D) Recall
5. ELU increases the computational complexity a little bit based on ReLU , but it has continuous derivatives and the defined surface is relatively smooth.
A) True
B) False
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: A |
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