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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Natural Language Processing Theory and Applications | 10% | - BERT, GPT and pre-trained models - Text classification, NER, machine translation - RNN, LSTM, GRU, Transformer architecture - Word representation and embedding |
| Topic 2: Speech Processing Lab Guide | 12% | - ModelArts speech application deployment - ASR and TTS service development - Huawei Cloud Speech Interaction Service |
| 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% | - Acoustic and language modeling - Automatic Speech Recognition (ASR) - Text-to-Speech (TTS) technology - Speech signal characteristics and processing |
| Topic 5: Image Processing Lab Guide | 12% | - Object detection and segmentation practice - ModelArts-based image classification - Ascend-based deployment |
| Topic 6: Neural Network Basics | 4% | - Gradient descent and backpropagation - Activation functions and regularization - Basic concepts of neural networks - Multilayer Perceptron (MLP) |
| Topic 7: Overview of ModelArts | 4% | - ModelArts platform positioning and architecture - Development environment and tool usage - Data processing, training, deployment capabilities |
| Topic 8: Image Processing Theory and Applications | 26% | - OCR and visual application development - Image processing fundamentals - Convolutional Neural Networks (CNN) - Image classification, object detection, segmentation |
| Topic 9: Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Full-stack and all-scenario AI technology layout - Huawei AI development strategy |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. Which of the following options belong to the activation function of the neural network? (Multiple choice)
A) Softmax
B) ReLU
C) Sigmoid
D) Softplus
2. Set the reset gate of GRU to 1 and the update gate to ________, then you will get the standard RNN model.
3. Which of the following belongs to the sequence labeling task? (Multiple choice)
A) Part-of-speech tagging
B) Sentiment Analysis
C) Chinese word segmentation
D) Entity Recognition
4. Which of the following options is not a method in the development of natural language processing?
A) Recursion-based methods
B) Statistical-based methods
C) Deep Learning-Based Methods
D) Rule-based approach
5. Which activation function is used by the forget gate in LSTM?
A) Softmax
B) ReLu
C) Sigmoid
D) Tanh
Solutions:
| Question # 1 Answer: A,B,C,D | Question # 2 Answer: Only visible for members | Question # 3 Answer: A,C,D | Question # 4 Answer: A | Question # 5 Answer: C |
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April 
