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Updated: Aug 01, 2026
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| Certification Vendor: | Huawei |
| Exam Name: | HCIP-AI-EI Developer V2.0 |
| Exam Number: | H13-321_V2.0-ENU |
| Available Languages: | English, Chinese |
| Passing Score: | 600/1000 |
| Exam Price: | 300 USD |
| Real Exam Qty: | 60 |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Exam Format: | Single-choice, Multiple-choice, True/False, Scenario-based |
| Related Certifications: | HCIA-AI HCIE-AI |
| Recommended Training: | HCIP-AI-EI Developer V2.0 Official Training |
| Exam Registration: | Huawei Certification Official Pearson VUE Registration |
| Sample Questions: | Huawei H13-321_V2.0 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE / Huawei authorized test centers |
| Pre Condition: | Recommended: HCIA-AI certification or equivalent knowledge; 6+ months AI development experience |
| Official Syllabus URL: | https://edu.huaweicloud.com/intl/en-us/certificationindex/career/aisd.html |
| 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: Image Processing Theory and Applications | 26% | - Convolutional Neural Networks (CNN) - OCR and visual application development - Image classification, object detection, segmentation - Image processing fundamentals |
| Topic 3: Natural Language Processing Theory and Applications | 10% | - BERT, GPT and pre-trained models - Text classification, NER, machine translation - RNN, LSTM, GRU, Transformer architecture - Word representation and embedding |
| Topic 4: Speech Processing Lab Guide | 12% | - ModelArts speech application deployment - ASR and TTS service development - Huawei Cloud Speech Interaction Service |
| Topic 5: Overview of ModelArts | 4% | - Development environment and tool usage - Data processing, training, deployment capabilities - ModelArts platform positioning and architecture |
| Topic 6: Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Huawei AI development strategy - Full-stack and all-scenario AI technology layout |
| Topic 7: Neural Network Basics | 4% | - Gradient descent and backpropagation - Activation functions and regularization - Basic concepts of neural networks - Multilayer Perceptron (MLP) |
| Topic 8: Image Processing Lab Guide | 12% | - ModelArts-based image classification - Object detection and segmentation practice - Ascend-based deployment |
| Topic 9: Speech Processing Theory and Applications | 10% | - Automatic Speech Recognition (ASR) - Speech signal characteristics and processing - Acoustic and language modeling - Text-to-Speech (TTS) technology |
1. The color histogram of a color image cannot be calculated.
A) True
B) False
2. What are the following advantages of LBP feature descriptor? (Multiple choice)
A) Good texture feature extraction
B) Good at extracting color features
C) Grayscale invariance
D) Rotational invariance
3. Which of the following annotation types is not available when creating image datasets in ModelArts data management?
A) Image Segmentation
B) Object Detection
C) Image Generation
D) Image Classification
4. 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) True
B) False
5. What is the purpose of using gradient descent?
A) Finding label values
B) Prediction results (forward calculation in neural network)
C) Changing the model structure
D) Optimization parameters
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A,C,D | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: D |
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