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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Neural Network Basics | 4% | - Multilayer Perceptron (MLP) - Activation functions and regularization - Basic concepts of neural networks - Gradient descent and backpropagation |
| Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Huawei AI development strategy - Full-stack and all-scenario AI technology layout |
| Speech Processing Lab Guide | 12% | - Huawei Cloud Speech Interaction Service - ModelArts speech application deployment - ASR and TTS service development |
| Speech Processing Theory and Applications | 10% | - Automatic Speech Recognition (ASR) - Text-to-Speech (TTS) technology - Speech signal characteristics and processing - 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% | - Data processing, training, deployment capabilities - ModelArts platform positioning and architecture - Development environment and tool usage |
| Image Processing Lab Guide | 12% | - ModelArts-based image classification - Ascend-based deployment - Object detection and segmentation practice |
| Natural Language Processing Theory and Applications | 10% | - RNN, LSTM, GRU, Transformer architecture - Text classification, NER, machine translation - BERT, GPT and pre-trained models - Word representation and embedding |
| Natural Language Processing Lab Guide | 10% | - Text classification and NER implementation - ModelArts NLP model training and tuning - Application integration and deployment |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. Which of the following steps is not included in the image preprocessing process?
A) Geometric Correction
B) Image Recognition
C) Grayscale transformation
D) Image Enhancement
2. The parameter learning of Gaussian mixture model only needs to use the maximum likelihood method.
A) True
B) False
3. In an 8-bit RGB color image, what color does (255, 255, 255) represent?
A) Red
B) Black
C) Blue
D) White
4. ModelArts model training process
5. Which of the following annotation types is not available when creating image datasets in ModelArts data management?
A) Image Classification
B) Object Detection
C) Image Generation
D) Image Segmentation
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: Only visible for members | Question # 5 Answer: C |
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