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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Speech Processing Lab Guide | 12% | - ASR and TTS service development - ModelArts speech application deployment - Huawei Cloud Speech Interaction Service |
| Image Processing Lab Guide | 12% | - ModelArts-based image classification - Ascend-based deployment - Object detection and segmentation practice |
| Neural Network Basics | 4% | - Basic concepts of neural networks - Activation functions and regularization - Multilayer Perceptron (MLP) - Gradient descent and backpropagation |
| Natural Language Processing Lab Guide | 10% | - Application integration and deployment - ModelArts NLP model training and tuning - Text classification and NER implementation |
| Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Full-stack and all-scenario AI technology layout - Huawei AI development strategy |
| Natural Language Processing Theory and Applications | 10% | - Text classification, NER, machine translation - Word representation and embedding - BERT, GPT and pre-trained models - RNN, LSTM, GRU, Transformer architecture |
| Speech Processing Theory and Applications | 10% | - Speech signal characteristics and processing - Text-to-Speech (TTS) technology - Automatic Speech Recognition (ASR) - Acoustic and language modeling |
| Image Processing Theory and Applications | 26% | - Image processing fundamentals - OCR and visual application development - Image classification, object detection, segmentation - Convolutional Neural Networks (CNN) |
| Overview of ModelArts | 4% | - Development environment and tool usage - Data processing, training, deployment capabilities - ModelArts platform positioning and architecture |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. Which of the following options is not an integrated learning algorithm in machine learning?
A) Boosting
B) Marking
C) Bagging
D) Stacking
2. If the neural network does not add an activation function, the neural network is linear. No matter how many hidden layers are added, it is equivalent to using only one hidden layer.
A) False
B) True
3. Which of the following are considerations for activation function design? (Multiple choice)
A) Monotonicity
B) Continuous Differentiability
C) Nonlinearity
D) Smoothness
E) Boundedness
4. What is the role of ModelArts development environment?
A) Prediction
B) Code Prediction
C) Training
D) Data preparation
5. Which of the following options does not belong to the three elements of the Markov model?
A) State Collection
B) Initial Probability
C) Transition Probability
D) Observation Probability
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: A,B,C,D,E | Question # 4 Answer: B | Question # 5 Answer: A |
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