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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Natural Language Processing Lab Guide | 10% | - Text classification and NER implementation
- Application integration and deployment
- ModelArts NLP model training and tuning
|
| Speech Processing Lab Guide | 12% | - ASR and TTS service development
- Huawei Cloud Speech Interaction Service
- ModelArts speech application deployment
|
| Neural Network Basics | 4% | - Multilayer Perceptron (MLP)
- Gradient descent and backpropagation
- Activation functions and regularization
- Basic concepts of neural networks
|
| Image Processing Theory and Applications | 26% | - Image processing fundamentals
- Convolutional Neural Networks (CNN)
- Image classification, object detection, segmentation
- OCR and visual application development
|
| Speech Processing Theory and Applications | 10% | - Speech signal characteristics and processing
- Acoustic and language modeling
- Text-to-Speech (TTS) technology
- Automatic Speech Recognition (ASR)
|
| Overview of ModelArts | 4% | - ModelArts platform positioning and architecture
- Data processing, training, deployment capabilities
- Development environment and tool usage
|
| 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
|
| Image Processing Lab Guide | 12% | - Ascend-based deployment
- Object detection and segmentation practice
- ModelArts-based image classification
|
| Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Full-stack and all-scenario AI technology layout
- Huawei AI development strategy
|
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. Which of the following is the general format of a URL?
A) https://uri
B) https://Endpoint
C) https://www.XXXX
D) https://Endpoint/uri
2. Which of the following information is required to access Huawei Cloud EI services using token authentication? (Multiple choice)
A) Primary Account Name
B) Project ID
C) Region
D) Sub-account name
E) Password
3. The Gaussian model uses the Gaussian density function to accurately quantify things and decomposes one thing into several models based on Bernoulli distribution.
A) False
B) True
4. What are the main methods of word segmentation? (Multiple choice)
A) Mixed participles
B) Deep learning word segmentation
C) Regular word segmentation
D) Statistical word segmentation
5. GMM-HMM need label data when completing speech recognition.
A) False
B) True
Solutions:
Question # 1 Answer: D | Question # 2 Answer: A,B,C,D,E | Question # 3 Answer: A | Question # 4 Answer: A,B,C,D | Question # 5 Answer: B |