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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Fundamentals and Neural Networks | 4% | - Neural Network Basics |
| Topic 2: Computer Vision (Image Processing) | 26% | - Image Processing Theory and Applications
|
| Topic 3: Huawei AI Ecosystem and ModelArts | 16% | - ModelArts Lab Guide - ModelArts Platform Overview - Huawei AI Strategy and Ecosystem Overview |
| Topic 4: Speech Processing | 22% | - Speech Processing Theory and Applications - Speech Processing Lab Guide |
| Topic 5: Natural Language Processing (NLP) | 20% | - NLP Lab Guide - NLP Theory and Applications |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. 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) Grayscale
B) Sensor weight
C) Sensor performance
D) Number of sensor units
2. In the grayscale change experiment of image preprocessing, the gamma change function is defined as follows:
Xxxxxxxxxx
Def gamma_trans (img, gamma)
Gamma_list = [ np.power (x/255.0,gamma)*255.0 for x in range(256)]
Gamma_table = np.round ( np.array ( gamma_list )). astype (np.uint8)
Return cv2.LUT(img , gamma_table )
When the gamma value is 0.5, the bright part is stretched and the dark part is compressed.
A) True
B) False
3. Visualizing the feature map of the first layer of a convolutional neural network can show clear target features.
A) True
B) False
4. If the neural network does not add an activation function, the neural network is linear. No matter how many hidden layers are added, it is equivalent to using only one hidden layer.
A) True
B) False
5. Which of the following is the highlights of Huawei's deep learning framework MindSpore?
A) Through MindSpore 's own technological innovation and the collaborative optimization of MindSpore and Ascend processors, efficient running state is achieved and computing performance is greatly improved.
B) All of the above
C) By implementing the Al algorithm as code, the development environment becomes more friendly, significantly reducing model development time and lowering the model development threshold.
D) Natively adapt to every scenario including terminal, edge and cloud, and can collaborate on demand, with flexible deployment.
Solutions:
| Question # 1 Answer: C,D | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: B |



