Learn with Huawei : H13-321_V2.0 training material for 100% pass
Updated: Aug 26, 2026
No. of Questions: 574 Questions & Answers with Testing Engine
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Huawei H13-321_V2.0 Exam Overview:
| Certification Vendor: | Huawei |
| Exam Name: | HCIP-AI-EI Developer V2.0 |
| Exam Number: | H13-321_V2.0-ENU |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Exam Format: | Single Choice, Multiple Choice, True/False |
| Related Certifications: | HCIA-AI HCIP-AI-EI Developer V2.0 |
| Passing Score: | 600/1000 |
| Sample Questions: | Huawei H13-321_V2.0 Sample Questions |
| Exam Way: | Huawei authorized testing center or Pearson VUE testing platform. |
| Pre Condition: | Recommended to have basic AI, Python programming, and machine learning knowledge. HCIA-AI certification is recommended but not mandatory. |
| Official Syllabus URL: | https://edu.huaweicloud.com/intl/en-us/roadmap/aieideveloper-hcip.html |
Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Speech Processing Labs | - Practical Development
|
| Topic 2: ModelArts Platform Overview | - AI Development Platform
|
| Topic 3: Natural Language Processing Theory and Applications | - NLP Fundamentals
|
| Topic 4: Image Processing Labs | - Practical Development
|
| Topic 5: Image Processing Theory and Applications | - Computer Vision Fundamentals
|
| Topic 6: Natural Language Processing Labs | - Practical Development
|
| Topic 7: Huawei AI Development Strategy and AI Portfolio | - Huawei AI Ecosystem
|
| Topic 8: Speech Processing Theory and Applications | - Speech AI Technologies
|
| Topic 9: Neural Network Basics | - Neural Network Fundamentals
|
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. A neural network can simulate any polynomial function as long as it has a hidden layer and an output layer and as long as the input data is sufficient.
A) False
B) True
2. Which of the following applications belong to supervised learning tasks in machine learning? (Multiple choice)
A) Image label classification
B) Handwritten Character Recognition
C) Expert System
D) Alpha
3. The back propagation algorithm is an algorithm used to calculate gradients in neural networks.
A) False
B) True
4. Machine learning is a means to achieve the goal of artificial intelligence, and deep learning is one of the methods of machine learning.
A) False
B) True
5. Which of the following are the advantages of MindSpore? (Multiple choice)
A) Through MindSpore 's own technological innovation and the collaborative optimization of MindSpore and Ascend processors, the efficiency of the running state is achieved and the computing performance is greatly improved.
B) By implementing the Al algorithm as code, the development environment becomes more friendly, significantly reducing model development time and lowering the model development threshold.
C) Natively adapts to every scenario including terminal, edge and cloud, and can collaborate on demand, with flexible deployment
D) Support GPU, CPU and other processors
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A,B | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: A,B,C,D |
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