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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Speech Processing Lab Guide | 12% | - ModelArts speech application deployment - Huawei Cloud Speech Interaction Service - ASR and TTS service development |
| Topic 2: Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Full-stack and all-scenario AI technology layout - Huawei AI development strategy |
| Topic 3: Natural Language Processing Lab Guide | 10% | - Application integration and deployment - ModelArts NLP model training and tuning - Text classification and NER implementation |
| Topic 4: Speech Processing Theory and Applications | 10% | - Text-to-Speech (TTS) technology - Automatic Speech Recognition (ASR) - Acoustic and language modeling - Speech signal characteristics and processing |
| Topic 5: Image Processing Theory and Applications | 26% | - Convolutional Neural Networks (CNN) - Image processing fundamentals - Image classification, object detection, segmentation - OCR and visual application development |
| Topic 6: Image Processing Lab Guide | 12% | - Ascend-based deployment - ModelArts-based image classification - Object detection and segmentation practice |
| Topic 7: Natural Language Processing Theory and Applications | 10% | - Word representation and embedding - RNN, LSTM, GRU, Transformer architecture - Text classification, NER, machine translation - BERT, GPT and pre-trained models |
| Topic 8: Neural Network Basics | 4% | - Basic concepts of neural networks - Activation functions and regularization - Gradient descent and backpropagation - Multilayer Perceptron (MLP) |
| Topic 9: Overview of ModelArts | 4% | - Data processing, training, deployment capabilities - ModelArts platform positioning and architecture - Development environment and tool usage |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. Which of the following applications belong to supervised learning tasks in machine learning? (Multiple choice)
A) Handwritten Character Recognition
B) Image label classification
C) Alpha
D) Expert System
2. During ModelArts training, you can dynamically monitor the training process, including service resource consumption, configuration information, logs, resource usage, Tensorboard visualization, version comparison, etc.
A) False
B) True
3. What is the main function of the Dropout layer? (Multiple choice)
A) Feature extraction
B) Dimensionality reduction
C) Preventing Overfitting
D) Enhance generalization ability
4. Huawei Cloud EI provides a Restful API. Which of the following options is a method for requesting the server to add new resources or perform special operations?
A) GET
B) PUT
C) POST
D) Attach
5. RNN is similar to HMM and can be applied to serialized data scenarios.
A) False
B) True
Solutions:
| Question # 1 Answer: A,B | Question # 2 Answer: B | Question # 3 Answer: C,D | Question # 4 Answer: C | Question # 5 Answer: B |


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