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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Speech Processing Theory and Applications | 10% | - Automatic Speech Recognition (ASR) - Text-to-Speech (TTS) technology - Speech signal characteristics and processing - Acoustic and language modeling |
| Speech Processing Lab Guide | 12% | - ModelArts speech application deployment - ASR and TTS service development - Huawei Cloud Speech Interaction Service |
| Overview of ModelArts | 4% | - Data processing, training, deployment capabilities - ModelArts platform positioning and architecture - Development environment and tool usage |
| Natural Language Processing Lab Guide | 10% | - Application integration and deployment - ModelArts NLP model training and tuning - Text classification and NER implementation |
| Image Processing Theory and Applications | 26% | - Image processing fundamentals - OCR and visual application development - Convolutional Neural Networks (CNN) - Image classification, object detection, segmentation |
| Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Huawei AI development strategy - Full-stack and all-scenario AI technology layout |
| Image Processing Lab Guide | 12% | - ModelArts-based image classification - Ascend-based deployment - Object detection and segmentation practice |
| Natural Language Processing Theory and Applications | 10% | - Word representation and embedding - Text classification, NER, machine translation - BERT, GPT and pre-trained models - RNN, LSTM, GRU, Transformer architecture |
| Neural Network Basics | 4% | - Gradient descent and backpropagation - Activation functions and regularization - Multilayer Perceptron (MLP) - Basic concepts of neural networks |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. Which of the following belongs to the language model?
A) DT
B) N-gram
C) Adaboost
D) GT
2. Which types of SDKs does Huawei Cloud Voice Interaction Service currently support? (Multiple choice)
A) Android SDK
B) Python SDK
C) PHP SDK
D) Java SDK
3. If a model has a small deviation and a large variance on the test set, which of the following does it belong to?
A) It may be overfitting or underfitting
B) Overfitting
C) Underfitting
D) Exact fit
4. Various indicators of bilinear interpolation are better than those of nearest neighbor interpolation. In practical applications, nearest neighbor interpolation has been eliminated by bilinear interpolation.
A) True
B) False
5. What is the main function of the fully connected layer?
A) Classification
B) Change image size (image scaling, downsampling, upsampling)
C) Extracting features (convolutional layer)
D) Dimensionality reduction (pooling layer)
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B,D | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: A |
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