Try and practice the latest Huawei : H13-321_V2.0-ENU real questions & answers
Updated: Oct 28, 2026
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Huawei H13-321_V2.0-ENU Exam Overview:
| Certification Vendor: | Huawei |
|---|---|
| Exam Name: | HCIP-AI-EI Developer V2.0 |
| Exam Number: | H13-321_V2.0-ENU |
| Passing Score: | 600/1000 |
| Exam Format: | Multiple Choice, True/False, Single Choice |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Related Certifications: | HCIP-AI-EI Developer V2.0 HCIA-AI |
| Available Languages: | English |
| Sample Questions: | Huawei H13-321_V2.0-ENU 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-ENU Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Image Processing Theory and Applications | - Computer Vision Fundamentals
|
| Topic 2: Natural Language Processing Labs | - Practical Development
|
| Topic 3: Neural Network Basics | - Neural Network Fundamentals
|
| Topic 4: Speech Processing Labs | - Practical Development
|
| Topic 5: Speech Processing Theory and Applications | - Speech AI Technologies
|
| Topic 6: Image Processing Labs | - Practical Development
|
| Topic 7: Huawei AI Development Strategy and AI Portfolio | - Huawei AI Ecosystem
|
| Topic 8: ModelArts Platform Overview | - AI Development Platform
|
| Topic 9: Natural Language Processing Theory and Applications | - NLP Fundamentals
|
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
Which of the following options is not a method in the development of natural language processing?
- A. Rule-based approach
- B. Statistical-based methods
- C. Recursion-based methods
- D. Deep Learning-Based Methods
Correct Answer: C 🗳️
The digital image acquisition process is similar to that of the human eye, using a large number of photosensitive sensors to form an array to acquire images.
The quality of sensor imaging is determined by which of the following? (Multiple choice)
- A. Sensor weight
- B. Number of sensor units
- C. Sensor performance
- D. Grayscale
Correct Answer: B,C 🗳️
Which one affects the number of weights in 2D convolution? (Multiple choice)
- A. High
- B. Width
- C. Number of convolution kernels
- D. Depth
Correct Answer: A,B,C 🗳️
Which of the following belongs to the optimizer in gradient descent? (Multiple choice)
- A. momentum
- B. Adaboost (Ensemble learning idea)
- C. Adam (improved version of the optimizer)
- D. Adagrad (Adaptive Gradient Descent Optimizer)
Correct Answer: A,C,D 🗳️
The annotation work in data management support third-party annotation.
- A. False
- B. True
Correct Answer: B 🗳️
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