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Updated: Aug 02, 2026
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| Certification Vendor: | Huawei |
| Exam Name: | Huawei Certified ICT Professional - AI-EI Developer V2.0 |
| Exam Number: | H13-321_V2.0 |
| Certificate Validity Period: | 3 years |
| Exam Price: | USD 300 |
| Passing Score: | 600/1000 |
| Exam Format: | Single-answer questions, Multiple-answer questions, True or false, Fill-in-the-blank, Drag and drop |
| Real Exam Qty: | 60 |
| Available Languages: | Chinese, English |
| Exam Duration: | 90 minutes |
| Related Certifications: | HCIA-AI HCIE-AI |
| Recommended Training: | Huawei Cloud Developer Learning |
| Exam Registration: | Pearson VUE |
| Sample Questions: | Huawei H13-321_V2.0 Sample Questions |
| Exam Way: | Computer-based test, online or at authorized test centers |
| Pre Condition: | HCIA-AI certification or equivalent knowledge is strongly recommended, not mandatory |
| Official Syllabus URL: | https://edu.huaweicloud.com/intl/en-us/certificationindex/career/aisd.html |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Overview of Huawei AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | |
| Topic 2: Image Processing Lab Guide | 12% | - ModelArts-based image development |
| Topic 3: Natural Language Processing Lab Guide | 10% | - NLP project practice on ModelArts |
| Topic 4: Neural Network Basics | 4% | - Artificial neural network principles - Network training and optimization - Deep learning fundamentals |
| Topic 5: Overview of ModelArts | 4% | - Development and deployment workflow - ModelArts platform architecture |
| Topic 6: Theoretical Knowledge and Applications of Image Processing | 26% | - Image preprocessing and feature extraction - Convolutional neural networks - Computer vision overview - Image recognition, detection and segmentation |
| Topic 7: Theoretical Knowledge and Applications of Natural Language Processing | 10% | - NLP core concepts - Common NLP tasks and applications - Text processing and representation |
| Topic 8: ModelArts Platform Development Experiment | 10% | |
| Topic 9: Theoretical Knowledge and Applications of Speech Processing | 10% | - Acoustic and language models - Speech recognition and synthesis - Speech processing basics |
| Topic 10: Speech Processing Lab Guide | 12% | - Speech application development on ModelArts |
1. Which of the following belongs to the sequence labeling task? (Multiple choice)
A) Part-of-speech tagging
B) Chinese word segmentation
C) Sentiment Analysis
D) Entity Recognition
2. Which of the following is not a component of the DNN structure?
A) Weight
B) Dropout
C) Activation Function
D) Hidden Layer
3. Which of the following is not a common method for text vectorization?
A) DM
B) CBOW
C) DBOW
D) EM
4. Which hardware is supported by ModelArts? (Multiple choice)
A) All of the above
B) GPU
C) Huawei self-developed Ascend AI chip
D) CPU
5. Which statistical analysis icon is used to analyze the bottleneck of user conversion?
A) Collapse Trend
B) Daily Active Users
C) Channel Analysis
D) Path Funnel Model
Solutions:
| Question # 1 Answer: A,B,D | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: A,B,C,D | Question # 5 Answer: D |
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