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Last Updated: Aug 27, 2026
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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Speech Processing Theory and Applications | 10% | - Speech signal characteristics and processing - Acoustic and language modeling - Text-to-Speech (TTS) technology - Automatic Speech Recognition (ASR) |
| Topic 2: Natural Language Processing Lab Guide | 10% | - Application integration and deployment - ModelArts NLP model training and tuning - Text classification and NER implementation |
| Topic 3: Image Processing Theory and Applications | 26% | - Image classification, object detection, segmentation - OCR and visual application development - Image processing fundamentals - Convolutional Neural Networks (CNN) |
| Topic 4: Neural Network Basics | 4% | - Basic concepts of neural networks - Activation functions and regularization - Gradient descent and backpropagation - Multilayer Perceptron (MLP) |
| 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 - BERT, GPT and pre-trained models - Text classification, NER, machine translation - Word representation and embedding |
| Topic 7: Speech Processing Lab Guide | 12% | - ASR and TTS service development - ModelArts speech application deployment - Huawei Cloud Speech Interaction Service |
| Topic 8: Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Full-stack and all-scenario AI technology layout - Huawei AI development strategy |
| Topic 9: Image Processing Lab Guide | 12% | - ModelArts-based image classification - Ascend-based deployment - Object detection and segmentation practice |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
Question 1
Convolutional layers are indispensable in the hierarchical architecture of convolutional neural networks.
A. True
B. False
Question 2
ModelArts does not support multiple people labeling the same dataset.
A. True
B. False
Question 3
() cancels the two independent assumptions of HMM, treats label transfer and context input as global features, performs probability normalization globally, and solves the label bias and context feature missing problems of HMM.
Question 4
Which of the following belongs to the sequence labeling task? (Multiple choice)
A. Part-of-speech tagging
B. Sentiment Analysis
C. Entity Recognition
D. Chinese word segmentation
Question 5
Which of the following options belong to Huawei products? (Multiple choice)
A. Shengteng 910
B. Atlas 200DK
C. Shengteng 310
D. Atlas 400DK
Solutions:
| Question 1 Answer: A | Question 2 Answer: B | Question 3 Answer: Only visible for members | Question 4 Answer: A,C,D | Question 5 Answer: A,B,C |
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