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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Natural Language Processing Theory and Applications | 10% | - Word representation and embedding - BERT, GPT and pre-trained models - Text classification, NER, machine translation - RNN, LSTM, GRU, Transformer architecture |
| Speech Processing Theory and Applications | 10% | - Automatic Speech Recognition (ASR) - Speech signal characteristics and processing - Text-to-Speech (TTS) technology - Acoustic and language modeling |
| Natural Language Processing Lab Guide | 10% | - ModelArts NLP model training and tuning - Application integration and deployment - Text classification and NER implementation |
| Overview of ModelArts | 4% | - Data processing, training, deployment capabilities - Development environment and tool usage - ModelArts platform positioning and architecture |
| Image Processing Lab Guide | 12% | - Ascend-based deployment - ModelArts-based image classification - Object detection and segmentation practice |
| Speech Processing Lab Guide | 12% | - ModelArts speech application deployment - ASR and TTS service development - Huawei Cloud Speech Interaction Service |
| Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Huawei AI development strategy - Full-stack and all-scenario AI technology layout |
| Neural Network Basics | 4% | - Activation functions and regularization - Basic concepts of neural networks - Gradient descent and backpropagation - Multilayer Perceptron (MLP) |
| Image Processing Theory and Applications | 26% | - OCR and visual application development - Image classification, object detection, segmentation - Convolutional Neural Networks (CNN) - Image processing fundamentals |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
Question 1
Which of the following is not a common method for text vectorization?
A. DBOW
B. EM
C. CBOW
D. DM
Question 2
The bimodal method can automatically find the optimal separation threshold of the image, but it is not suitable for all grayscale image binarization tasks.
A. True
B. False
Question 3
What are the organs of pronunciation? (Multiple choice)
A. Above the throat
B. Throat
C. Larynx
D. Below the throat
Question 4
What does data preprocessing in speech tasks include? (Multiple choice)
A. Standardization
B. Framing
C. Normalization
D. Endpoint Detection
Question 5
Which of the following are the request methods of REST API? (Multiple choice)
A. PUT
B. PATCH
C. GET
D. DELET
E. POST
Solutions:
| Question 1 Answer: B | Question 2 Answer: A | Question 3 Answer: A,C,D | Question 4 Answer: A,B,C,D | Question 5 Answer: A,B,C,D,E |
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Jeremy 
Kent 
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