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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Overview of ModelArts | 4% | - Development and deployment workflow - ModelArts platform architecture |
| Topic 2: Overview of Huawei AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | |
| Topic 3: Natural Language Processing Lab Guide | 10% | - NLP project practice on ModelArts |
| Topic 4: Speech Processing Lab Guide | 12% | - Speech application development on ModelArts |
| Topic 5: Theoretical Knowledge and Applications of Image Processing | 26% | - Convolutional neural networks - Image preprocessing and feature extraction - Image recognition, detection and segmentation - Computer vision overview |
| Topic 6: ModelArts Platform Development Experiment | 10% | |
| Topic 7: Neural Network Basics | 4% | - Artificial neural network principles - Network training and optimization - Deep learning fundamentals |
| Topic 8: Image Processing Lab Guide | 12% | - ModelArts-based image development |
| Topic 9: Theoretical Knowledge and Applications of Natural Language Processing | 10% | - NLP core concepts - Common NLP tasks and applications - Text processing and representation |
| 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:
Question 1
The coordinates of point A are (25, 19), and the coordinates of point B are (43, 43). Please write the Manhattan distance between AB ()
Question 2
Huawei Cloud Computing provides a one-sentence service that can achieve audio to text conversion within () minutes and storage size not exceeding () MB.
Question 3
The 19 in VGG19 represents the sum of the number of which layers in the network? (Multiple choice)
A. Input Layer
B. Fully connected layer
C. Convolutional layer
D. Pooling Layer
Question 4
Speech processing is a general term for technologies used to study the vocalization process, statistical characteristics of speech signals, automatic speech recognition, machine synthesis and speech perception.
A. False
B. True
Question 5
What is the usage process of ModelArts automatic learning?
A. Data annotation -> model training -> deployment
B. Deployment -> Model training -> Data labeling
C. Data annotation -> deployment -> model training
D. Model training -> data annotation -> deployment
Solutions:
| Question 1 Answer: Only visible for members | Question 2 Answer: Only visible for members | Question 3 Answer: B,C | Question 4 Answer: B | Question 5 Answer: A |
