Learn with Huawei : H13-321_V2.0-ENU training material for 100% pass
Updated: Jul 25, 2026
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Huawei H13-321_V2.0-ENU Exam Overview:
| Certification Vendor: | Huawei |
| Exam Name: | Huawei Certified ICT Professional - AI-EI Developer V2.0 |
| Exam Number: | H13-321_V2.0 |
| Real Exam Qty: | 60 |
| Passing Score: | 600/1000 |
| Exam Price: | USD 300 |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Related Certifications: | HCIA-AI HCIE-AI |
| Exam Format: | Single-answer questions, Multiple-answer questions, True or false, Fill-in-the-blank, Drag and drop |
| Available Languages: | Chinese, English |
| Recommended Training: | Huawei Cloud Developer Learning |
| Exam Registration: | Pearson VUE |
| Sample Questions: | Huawei H13-321_V2.0-ENU Sample Questions |
| Exam Way: | Computer-based test, online or at authorized test centers |
| Pre Condition: | HCIA-AI certification or equivalent knowledge is strongly recommended, not mandatory |
| Official Syllabus URL: | https://edu.huaweicloud.com/intl/en-us/certificationindex/career/aisd.html |
Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Overview of ModelArts | 4% | - ModelArts platform architecture - Development and deployment workflow |
| Speech Processing Lab Guide | 12% | - Speech application development on ModelArts |
| ModelArts Platform Development Experiment | 10% | |
| Overview of Huawei AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | |
| Natural Language Processing Lab Guide | 10% | - NLP project practice on ModelArts |
| Neural Network Basics | 4% | - Network training and optimization - Artificial neural network principles - Deep learning fundamentals |
| Theoretical Knowledge and Applications of Natural Language Processing | 10% | - Text processing and representation - NLP core concepts - Common NLP tasks and applications |
| Theoretical Knowledge and Applications of Speech Processing | 10% | - Acoustic and language models - Speech processing basics - Speech recognition and synthesis |
| Theoretical Knowledge and Applications of Image Processing | 26% | - Image preprocessing and feature extraction - Convolutional neural networks - Image recognition, detection and segmentation - Computer vision overview |
| Image Processing Lab Guide | 12% | - ModelArts-based image development |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. MoXing is a network model development API provided by Huawei Cloud ModelArts. Using the mox.file module in MoXing , you can directly access OBS by calling the API and download the folder from OBS to the local computer. Complete the code: mox.file .() ('s3:// my_bucket / input_data ', '/cache/ input_data ').
2. What effect can mean filtering have? (Multiple choice)
A) Extracting edges
B) Fuzzification
C) Noise Removal
D) Extraction target
3. When the coordinates change, which of the following methods can we use to get the integer value of the pixel?
A) Sampling
B) Quantification
C) Mean
D) Interpolation
4. The coordinates of the four diagonal neighborhood points corresponding to P(x, y) : (x+1, y+1), (x-1, y-1), (x-1, y+1), (x+1, y-1) The coordinates of the four 4-neighborhood points corresponding to P(x, y): ()
5. John wants to use Huawei Cloud ModelArts to develop an image recognition application, but he does not have a Huawei Cloud account. He needs Mike's help. Mike creates a sub-account under his Huawei Cloud account and adds access authorization to the sub-account through the main account in the form of an access key, so that John can log in to the sub-account to access the ModelArts service.
A) False
B) True
Solutions:
| Question # 1 Answer: Only visible for members | Question # 2 Answer: B,C | Question # 3 Answer: B | Question # 4 Answer: Only visible for members | Question # 5 Answer: B |
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