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Last Updated: Aug 22, 2026
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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Speech Processing Theory and Applications | 10% | - Speech signal characteristics and processing - Automatic Speech Recognition (ASR) - Acoustic and language modeling - Text-to-Speech (TTS) technology |
| Topic 2: Overview of ModelArts | 4% | - Data processing, training, deployment capabilities - Development environment and tool usage - ModelArts platform positioning and architecture |
| Topic 3: Image Processing Lab Guide | 12% | - Object detection and segmentation practice - ModelArts-based image classification - Ascend-based deployment |
| 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: Image Processing Theory and Applications | 26% | - OCR and visual application development - Convolutional Neural Networks (CNN) - Image processing fundamentals - Image classification, object detection, segmentation |
| Topic 6: Speech Processing Lab Guide | 12% | - ASR and TTS service development - ModelArts speech application deployment - Huawei Cloud Speech Interaction Service |
| Topic 7: Natural Language Processing Lab Guide | 10% | - Application integration and deployment - Text classification and NER implementation - ModelArts NLP model training and tuning |
| Topic 8: Natural Language Processing Theory and Applications | 10% | - Text classification, NER, machine translation - RNN, LSTM, GRU, Transformer architecture - BERT, GPT and pre-trained models - Word representation and embedding |
| Topic 9: Neural Network Basics | 4% | - Basic concepts of neural networks - Multilayer Perceptron (MLP) - Gradient descent and backpropagation - Activation functions and regularization |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1.
2. Which of the following options is the architecture adopted by Huawei's Atlas series chips?
A) Von Neumann
B) Gaussian
C) Leonardo da Vinci
D) Ascend
3. What kind of applications can the predictive analysis function in ModelArts automatic learning be used for?
A) Segmenting objects in images
B) Predicting house prices
C) Face Recognition
D) Identify flower species
4. When trying to use SelectKBest for feature selection, which of the following options uses the card method to select features?
A) mutual_info_regression
B) mutual_info_classif
C) chi2
D) f_regression
5. When using ModelArts automatic learning to build image classification or object detection projects, which of the following image formats does the dataset not support?
A) bmp
B) webp
C) png
D) jpg
Solutions:
| Question # 1 Answer: Only visible for members | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: B |
Jared
Luther
Noel
Ronald
Valentine
Amelia
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