Download Huawei : H13-321_V2.0 Questions & Answers as PDF & Test Software
Updated: Aug 23, 2026
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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 Price: | 300 USD |
| Exam Duration: | 90 minutes |
| Related Certifications: | HCIA-AI HCIE-AI |
| Exam Format: | Single-choice, Multiple-choice, True/False, Scenario-based |
| Passing Score: | 600/1000 |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 60 |
| Available Languages: | English, Chinese |
| 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 |
Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Speech Processing Theory and Applications | 10% | - Automatic Speech Recognition (ASR) - Speech signal characteristics and processing - Acoustic and language modeling - Text-to-Speech (TTS) technology |
| Overview of ModelArts | 4% | - ModelArts platform positioning and architecture - Development environment and tool usage - Data processing, training, deployment capabilities |
| Natural Language Processing Theory and Applications | 10% | - Word representation and embedding - Text classification, NER, machine translation - BERT, GPT and pre-trained models - RNN, LSTM, GRU, Transformer architecture |
| Neural Network Basics | 4% | - Gradient descent and backpropagation - Basic concepts of neural networks - Activation functions and regularization - Multilayer Perceptron (MLP) |
| Image Processing Theory and Applications | 26% | - Image classification, object detection, segmentation - OCR and visual application development - Convolutional Neural Networks (CNN) - Image processing fundamentals |
| Natural Language Processing Lab Guide | 10% | - ModelArts NLP model training and tuning - Application integration and deployment - Text classification and NER implementation |
| Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Full-stack and all-scenario AI technology layout - Huawei AI development strategy |
| Speech Processing Lab Guide | 12% | - ASR and TTS service development - ModelArts speech application deployment - Huawei Cloud Speech Interaction Service |
| Image Processing Lab Guide | 12% | - Object detection and segmentation practice - ModelArts-based image classification - Ascend-based deployment |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. Deep learning model training requires a large amount of data. In actual operation, data enhancement technology can be used to randomly add normal samples to the training image data set to expand the sample size of the data set.
A) False
B) True
2. What text annotation tasks does ModelArts support?
A) Name recognition
B) All of the above are true
C) Text triples
D) Text Classification
3. Which of the following options is the architecture adopted by Huawei's Atlas series chips?
A) Von Neumann
B) Gaussian
C) Leonardo da Vinci
D) Ascend
4. Which of the following layers does a convolutional neural network usually contain? (Multiple choice)
A) Input layer
B) Fully connected layer
C) Convolutional Layer
D) Output layer
5. In Huawei Cloud Content Detection Service, which of the following parameters is not a common request message header?
A) Authorization
B) POST
C) X- Sdk -Date
D) HOST
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: A,B,C,D | Question # 5 Answer: B |
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