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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Full-stack and all-scenario AI technology layout - Huawei AI development strategy |
| Neural Network Basics | 4% | - Gradient descent and backpropagation - Multilayer Perceptron (MLP) - Activation functions and regularization - Basic concepts of neural networks |
| Natural Language Processing Theory and Applications | 10% | - RNN, LSTM, GRU, Transformer architecture - BERT, GPT and pre-trained models - Word representation and embedding - Text classification, NER, machine translation |
| Overview of ModelArts | 4% | - ModelArts platform positioning and architecture - Data processing, training, deployment capabilities - Development environment and tool usage |
| Image Processing Theory and Applications | 26% | - Image processing fundamentals - OCR and visual application development - Image classification, object detection, segmentation - Convolutional Neural Networks (CNN) |
| Natural Language Processing Lab Guide | 10% | - Text classification and NER implementation - ModelArts NLP model training and tuning - Application integration and deployment |
| Speech Processing Theory and Applications | 10% | - Automatic Speech Recognition (ASR) - Text-to-Speech (TTS) technology - Acoustic and language modeling - Speech signal characteristics and processing |
| Image Processing Lab Guide | 12% | - Ascend-based deployment - Object detection and segmentation practice - ModelArts-based image classification |
| Speech Processing Lab Guide | 12% | - ModelArts speech application deployment - Huawei Cloud Speech Interaction Service - ASR and TTS service development |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. Which of the following is a classification performance measurement indicator? (Multiple choice)
A) False rate
B) recall
C) precision
D) Accuracy
2. Which of the following are methods of keyword extraction? (Multiple choice)
A) HMM
B) TF-IDF
C) LSI/LSA/LDA
D) TextRank
3. Bidirectional RNN solves the problem that the next state affects the current state.
A) False
B) True
4. Which of the following options belong to the training servers provided by Shengteng Computing to customers and partners? (Multiple choice)
A) Atlas 800 model
B) Atlas 300 model
C) Atlas 800 model
D) Atlas 800 model
5. Machine learning is a means to achieve the goal of artificial intelligence, and deep learning is one of the methods of machine learning.
A) False
B) True
Solutions:
| Question # 1 Answer: A,B,C,D | Question # 2 Answer: B,C,D | Question # 3 Answer: B | Question # 4 Answer: A,B,D | Question # 5 Answer: B |
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