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Updated: Aug 21, 2026
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Huawei H13-321_V2.0-ENU Exam Overview:
| Certification Vendor: | Huawei |
| Exam Name: | Huawei Certified ICT Professional - AI-EI Developer V2.0 |
| Exam Number: | H13-321_V2.0 |
| Related Certifications: | HCIA-AI HCIE-AI |
| Available Languages: | Chinese, English |
| Passing Score: | 600/1000 |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 60 |
| Exam Format: | Single-answer questions, Multiple-answer questions, True or false, Fill-in-the-blank, Drag and drop |
| Exam Price: | USD 300 |
| Certificate Validity Period: | 3 years |
| Recommended Training: | Huawei Cloud Developer Learning |
| Exam Registration: | Pearson VUE |
| Sample Questions: | Huawei H13-321_V2.0-ENU 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 |
Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Natural Language Processing Lab Guide | 10% | - NLP project practice on ModelArts |
| Image Processing Lab Guide | 12% | - ModelArts-based image development |
| Neural Network Basics | 4% | - Deep learning fundamentals - Network training and optimization - Artificial neural network principles |
| Theoretical Knowledge and Applications of Speech Processing | 10% | - Acoustic and language models - Speech recognition and synthesis - Speech processing basics |
| Overview of Huawei AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | |
| Theoretical Knowledge and Applications of Natural Language Processing | 10% | - NLP core concepts - Text processing and representation - Common NLP tasks and applications |
| ModelArts Platform Development Experiment | 10% | |
| Overview of ModelArts | 4% | - Development and deployment workflow - ModelArts platform architecture |
| Speech Processing Lab Guide | 12% | - Speech application development on ModelArts |
| Theoretical Knowledge and Applications of Image Processing | 26% | - Image recognition, detection and segmentation - Image preprocessing and feature extraction - Convolutional neural networks - Computer vision overview |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. Huawei Cloud's cloud monitoring service can monitor the relevant indicators of image recognition. Users can use the indicators to timely understand the usage of image recognition. Each sub-service has two indicators: the number of successful calls and the number of failed calls.
A) False
B) True
2. Which of the following options are the main advantages of the Keras interface in TensorFlow 2.0? (Multiple choice)
A) Easy to expand
B) Modularity and composability
C) Static graph mechanism is used
D) User-friendly
3. The core problem of computer vision ()
4. The OTSU algorithm traverses possible thresholds and selects the maximum segmentation threshold between the foreground area and the background area () as the optimal threshold.
A) Area difference
B) Cumulative difference of pixel values
C) Between-class variance
D) Absolute difference
5. Which of the following is not a method of speech feature extraction?
A) PLP
B) RNN
C) MFCC
D) LPC
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A,B,D | Question # 3 Answer: Only visible for members | Question # 4 Answer: C | Question # 5 Answer: B |
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