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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Natural Language Processing Lab Guide | 10% | - ModelArts NLP model training and tuning - Application integration and deployment - Text classification and NER implementation |
| Topic 2: Speech Processing Theory and Applications | 10% | - Acoustic and language modeling - Text-to-Speech (TTS) technology - Speech signal characteristics and processing - Automatic Speech Recognition (ASR) |
| Topic 3: Image Processing Theory and Applications | 26% | - Image processing fundamentals - Image classification, object detection, segmentation - Convolutional Neural Networks (CNN) - OCR and visual application development |
| Topic 4: Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Huawei AI development strategy - Full-stack and all-scenario AI technology layout |
| Topic 5: Overview of ModelArts | 4% | - ModelArts platform positioning and architecture - Development environment and tool usage - Data processing, training, deployment capabilities |
| Topic 6: Natural Language Processing Theory and Applications | 10% | - RNN, LSTM, GRU, Transformer architecture - Word representation and embedding - BERT, GPT and pre-trained models - Text classification, NER, machine translation |
| Topic 7: Image Processing Lab Guide | 12% | - Ascend-based deployment - ModelArts-based image classification - Object detection and segmentation practice |
| Topic 8: Speech Processing Lab Guide | 12% | - ASR and TTS service development - ModelArts speech application deployment - Huawei Cloud Speech Interaction Service |
| Topic 9: Neural Network Basics | 4% | - Basic concepts of neural networks - Activation functions and regularization - Gradient descent and backpropagation - Multilayer Perceptron (MLP) |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. What color does the RGB value (255, 0, 0) represent?
A) Pure black
B) Pure blue
C) Pure red
D) Pure green
2. Which of the following factors can be used to describe the hidden Markov model? (Multiple choice)
A) Observation sequence
B) State Collection
C) Observation Set
D) State sequence
3. What will change in the image if the H component of the HSV color space is modified?
A) Saturation (S)
B) Brightness (V)
C) Contrast
D) Hue (warmth or coldness of the image)
4. Natural language is a symbolic system with speech as its material shell, consisting of vocabulary and grammar. It is a natural language like Java, C++ and other languages..
A) True
B) False
5. Which neural network is used in the face recognition case?
A) Inception
B) VGG
C) Resnet
D) LSTM
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A,B,C,D | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: C |




