Huawei HCIP-AI-EI Developer V2.0 : H13-321_V2.0-ENU Exam

  • Exam Code: H13-321_V2.0-ENU
  • Exam Name: HCIP-AI-EI Developer V2.0
  • Updated: Aug 02, 2026
  • Q & A: 574 Questions and Answers

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About Huawei HCIP-AI-EI Developer V2.0 : H13-321_V2.0-ENU Exam Questions

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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:

SectionWeightObjectives
Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio2%- Huawei AI development strategy
- Full-stack and all-scenario AI technology layout
Natural Language Processing Lab Guide10%- ModelArts NLP model training and tuning
- Application integration and deployment
- Text classification and NER implementation
Overview of ModelArts4%- Data processing, training, deployment capabilities
- Development environment and tool usage
- ModelArts platform positioning and architecture
Speech Processing Lab Guide12%- ModelArts speech application deployment
- Huawei Cloud Speech Interaction Service
- ASR and TTS service development
Natural Language Processing Theory and Applications10%- RNN, LSTM, GRU, Transformer architecture
- BERT, GPT and pre-trained models
- Word representation and embedding
- Text classification, NER, machine translation
Speech Processing Theory and Applications10%- Automatic Speech Recognition (ASR)
- Speech signal characteristics and processing
- Text-to-Speech (TTS) technology
- Acoustic and language modeling
Image Processing Theory and Applications26%- OCR and visual application development
- Convolutional Neural Networks (CNN)
- Image classification, object detection, segmentation
- Image processing fundamentals
Image Processing Lab Guide12%- ModelArts-based image classification
- Object detection and segmentation practice
- Ascend-based deployment
Neural Network Basics4%- Basic concepts of neural networks
- Multilayer Perceptron (MLP)
- Activation functions and regularization
- Gradient descent and backpropagation

Huawei HCIP-AI-EI Developer V2.0 Sample Questions:

1. After using DNN, do not perform data preprocessing.

A) False
B) True


2. In certain areas, artificial intelligence is approaching or surpassing human capabilities.

A) False
B) True


3. The purpose of speech signal preprocessing () is to emphasize the high-frequency part of speech, remove the influence of lip radiation, and increase the high-frequency resolution of speech (please fill in Chinese)


4. Based on Ascend 310, Huawei has created four products for cloud and edge devices, using different forms to meet customers' performance requirements for inference, namely: Atlas 200 on the device side, Atlas 500 on the edge side, and Atlas 800 and 300 on the data center side.

A) False
B) True


5. 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) False
B) True


Solutions:

Question # 1
Answer: A
Question # 2
Answer: B
Question # 3
Answer: Only visible for members
Question # 4
Answer: B
Question # 5
Answer: B

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