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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Image Processing Lab Guide | 12% | - ModelArts-based image development |
| Theoretical Knowledge and Applications of Natural Language Processing | 10% | - NLP core concepts - Text processing and representation - Common NLP tasks and applications |
| Speech Processing Lab Guide | 12% | - Speech application development on ModelArts |
| Neural Network Basics | 4% | - Network training and optimization - Deep learning fundamentals - Artificial neural network principles |
| Theoretical Knowledge and Applications of Speech Processing | 10% | - Speech processing basics - Acoustic and language models - Speech recognition and synthesis |
| ModelArts Platform Development Experiment | 10% | |
| Overview of Huawei AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | |
| Overview of ModelArts | 4% | - ModelArts platform architecture - Development and deployment workflow |
| Theoretical Knowledge and Applications of Image Processing | 26% | - Image recognition, detection and segmentation - Convolutional neural networks - Computer vision overview - Image preprocessing and feature extraction |
| Natural Language Processing Lab Guide | 10% | - NLP project practice on ModelArts |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
Question 1
Which of the following options does not belong to the three levels of natural language processing technology?
A. Syntactic Analysis
B. Speech Analysis
C. Semantic Analysis
D. Lexical Analysis
Question 2
When applying image processing technology, it is important to identify which task the problem belongs to: image classification, target detection, image segmentation, or target tracking. Algorithms cannot be mixed.
A. False
B. True
Question 3
In the process of model training and evaluation, overfitting and underfitting often occur. Which of the following descriptions of overfitting and underfitting is correct?
A. Underfitting refers to a situation where the model performs well both during training and prediction.
B. Underfitting refers to the situation where the model performs well during training but performs poorly during prediction.
C. Overfitting refers to a situation where the model does not fit the training data sufficiently.
D. Overfitting is reflected in the evaluation indicators, that is, the model performs well on the training set, but performs poorly on the test set and new data.
Question 4
ModelArts model conversion function can be used to convert and quantize Tensorflow models into tensorRT format. The converted model can be deployed and run on Nvidia p4 CPU.
A. False
B. True
Question 5
When the coordinates change, which of the following methods can we use to get the integer value of the pixel?
A. Quantification
B. Interpolation
C. Sampling
D. Mean
Solutions:
| Question 1 Answer: B | Question 2 Answer: B | Question 3 Answer: D | Question 4 Answer: B | Question 5 Answer: A |
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