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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: ModelArts Platform Development Experiment | 10% | |
| Topic 2: Natural Language Processing Lab Guide | 10% | - NLP project practice on ModelArts |
| Topic 3: Theoretical Knowledge and Applications of Natural Language Processing | 10% | - Common NLP tasks and applications - Text processing and representation - NLP core concepts |
| Topic 4: Neural Network Basics | 4% | - Network training and optimization - Deep learning fundamentals - Artificial neural network principles |
| Topic 5: Image Processing Lab Guide | 12% | - ModelArts-based image development |
| Topic 6: Overview of Huawei AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | |
| Topic 7: Speech Processing Lab Guide | 12% | - Speech application development on ModelArts |
| Topic 8: Theoretical Knowledge and Applications of Image Processing | 26% | - Computer vision overview - Convolutional neural networks - Image preprocessing and feature extraction - Image recognition, detection and segmentation |
| Topic 9: Overview of ModelArts | 4% | - Development and deployment workflow - ModelArts platform architecture |
| Topic 10: Theoretical Knowledge and Applications of Speech Processing | 10% | - Speech recognition and synthesis - Speech processing basics - Acoustic and language models |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. When calling the speech synthesis SDK, ttsc_request.set_sample_rate plays the role of setting ().
2. In general, Huawei's AI development strategy is to continuously invest in basic research and AI talent training, build a full- stack, full-scenario AI solution and an open global ecological foundation.
A) True
B) False
3. What is the role of ModelArts development environment?
A) Prediction
B) Data preparation
C) Training
D) Code Prediction
4. When the human eye observes the world around it, the image of the object on the retina is inverted.
A) True
B) False
5. The lower the value on the diagonal of the confusion matrix, the better the classification effect of the classifier.
A) True
B) False
Solutions:
| Question # 1 Answer: Only visible for members | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: B |
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