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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Theoretical Knowledge and Applications of Speech Processing | 10% | - Speech processing basics - Acoustic and language models - Speech recognition and synthesis |
| ModelArts Platform Development Experiment | 10% | |
| Speech Processing Lab Guide | 12% | - Speech application development on ModelArts |
| Natural Language Processing Lab Guide | 10% | - NLP project practice on ModelArts |
| Overview of Huawei AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | |
| Neural Network Basics | 4% | - Artificial neural network principles - Network training and optimization - Deep learning fundamentals |
| Overview of ModelArts | 4% | - ModelArts platform architecture - Development and deployment workflow |
| Theoretical Knowledge and Applications of Image Processing | 26% | - Image recognition, detection and segmentation - Image preprocessing and feature extraction - Convolutional neural networks - Computer vision overview |
| Image Processing Lab Guide | 12% | - ModelArts-based image development |
| Theoretical Knowledge and Applications of Natural Language Processing | 10% | - Text processing and representation - Common NLP tasks and applications - NLP core concepts |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. Which of the following are the request methods of REST API? (Multiple choice)
A) POST
B) GET
C) PUT
D) PATCH
E) DELET
2. The perceptron is used to receive multiple signals and output a signal (composed of multiple neurons). Each input signal has a certain weight, and the product of the values of multiple input signals and the weights is calculated. The result (sum) is compared with the specified threshold to determine whether the neuron is activated.
A) True
B) False
3. Which function is not included in the back propagation algorithm?
A) Normalization
B) Weight Update
C) Get the gradient
D) Incentive Communication
4. RNN can save context information.
A) True
B) False
5. Which of the following are applications of image processing technology in face recognition? (Multiple choice)
A) One-touch selfie beautification
B) Face similarity comparison
C) Face authentication
D) Face Search
Solutions:
| Question # 1 Answer: A,B,C,D,E | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: B,C,D |
