Huawei : H13-321_V2.0 Questions & Answers
Updated: Oct 13, 2026
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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Image Processing Lab Guide | 12% | - ModelArts-based image development |
| Topic 2: ModelArts Platform Development Experiment | 10% | |
| Topic 3: Overview of Huawei AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | |
| Topic 4: Neural Network Basics | 4% | - Deep learning fundamentals - Network training and optimization - Artificial neural network principles |
| Topic 5: Natural Language Processing Lab Guide | 10% | - NLP project practice on ModelArts |
| Topic 6: Theoretical Knowledge and Applications of Natural Language Processing | 10% | - Text processing and representation - Common NLP tasks and applications - NLP core concepts |
| Topic 7: Theoretical Knowledge and Applications of Speech Processing | 10% | - Speech recognition and synthesis - Acoustic and language models - Speech processing basics |
| Topic 8: Theoretical Knowledge and Applications of Image Processing | 26% | - Convolutional neural networks - Image recognition, detection and segmentation - Image preprocessing and feature extraction - Computer vision overview |
| Topic 9: Speech Processing Lab Guide | 12% | - Speech application development on ModelArts |
| Topic 10: Overview of ModelArts | 4% | - ModelArts platform architecture - Development and deployment workflow |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
Regarding the comparison between LSTM and GRU, which of the following statement is correct? (Multiple choice)
- A. LSTM can process longer sequences than GRU
- B. LSTM is controllable in terms of the memory it retains, while GRU is not
- C. There is not much difference between standard LSTM and GRU, and both are better than ordinary RNN
- D. GRU structure is simpler than LSTM, and has one less gate than LSTM, so the calculation speed is faster than LSTM
Correct Answer: B,C,D 🗳️
The expressive power of a single perceptron is limited. It can only express linear decision surfaces (hyperplanes). If we interconnect many perceptrons, just like the human brain, we can express a wide variety of nonlinear surfaces.
- A. True
- B. False
Correct Answer: A 🗳️
Which of the following models can be used for natural language processing?
- A. SVM
- B. HMM
- C. DT
- D. Linear regression
Correct Answer: B 🗳️
The goal of artificial intelligence is to make computers as smart as humans.
- A. True
- B. False
Correct Answer: A 🗳️
The back propagation algorithm is an important method for updating parameters of neural networks. The back propagation algorithm is implemented with the help of which of the following calculation methods?
- A. Higher-order differentials
- B. Cost Function
- C. Computational Graph
- D. Chain Rule
Correct Answer: D 🗳️
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