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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Natural Language Processing Theory and Applications | - NLP Fundamentals
|
| Topic 2: Natural Language Processing Labs | - Practical Development
|
| Topic 3: Image Processing Theory and Applications | - Computer Vision Fundamentals
|
| Topic 4: Huawei AI Development Strategy and AI Portfolio | - Huawei AI Ecosystem
|
| Topic 5: Neural Network Basics | - Neural Network Fundamentals
|
| Topic 6: ModelArts Platform Overview | - AI Development Platform
|
| Topic 7: Speech Processing Labs | - Practical Development
|
| Topic 8: Speech Processing Theory and Applications | - Speech AI Technologies
|
| Topic 9: Image Processing Labs | - Practical Development
|
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. There are two main methods for semi-supervised learning: one is to perform unsupervised clustering first and then supervised learning. The other is Self-Learning.
A) True
B) False
2. What does the REST API request/response contain? (Multiple choice)
A) Request message header
B) Response message header
C) Response message body
D) Request message body
E) Request URL
3. Which of the following can be done using Tensorboard? (Multiple choice)
A) Automatic parameter tuning (what the algorithm needs to do)
B) Visualize the changes in loss and accuracy during deep learning training
C) Data Annotation (Tensorboard is not an annotation tool)
D) Visualizing high-dimensional distributions
4. Various indicators of bilinear interpolation are better than those of nearest neighbor interpolation. In practical applications, nearest neighbor interpolation has been eliminated by bilinear interpolation.
A) True
B) False
5. In ModelArts automatic learning projects, object detection only supports rectangular annotation boxes.
A) True
B) False
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A,B,C,D,E | Question # 3 Answer: B,D | Question # 4 Answer: B | Question # 5 Answer: A |






