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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Fundamentals and Neural Networks | 4% | - Neural Network Basics |
| Topic 2: Huawei AI Ecosystem and ModelArts | 16% | - Huawei AI Strategy and Ecosystem Overview - ModelArts Platform Overview - ModelArts Lab Guide |
| Topic 3: Natural Language Processing (NLP) | 20% | - NLP Lab Guide - NLP Theory and Applications |
| Topic 4: Speech Processing | 22% | - Speech Processing Lab Guide - Speech Processing Theory and Applications |
| Topic 5: Computer Vision (Image Processing) | 26% | - Image Processing Lab Guide - Image Processing Theory and Applications
|
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
Question 1
A photo has many small noise points during storage. The best denoising effect is to perform () operation on the scanned copy.
A. Gaussian filtering
B. Median Filter
C. Mean Filter
D. Laplace filtering
Question 2
The original value of the recorded pixel is s, and the value of the pixel after the change is d. The mapping function of the grayscale change is d= ks. When k>0, the grayscale stretching of the dark part of the image can be achieved.
A. True
B. False
Question 3
In order to effectively convert digital images into structured data, image feature extraction technology is needed to reduce the dimension of the data.
Which of the following are the main ideas for image feature extraction and data dimensionality reduction? (Multiple choice)
A. Downsampling
B. Feature Descriptor
C. Pattern recognition
D. Segmentation of Region of Interest
Question 4
Which of the following algorithms can be applied to text classification? (Multiple choice)
A. Naive Bayes
B. SVM
C. TextCNN
D. Linear regression
Question 5
Keyword extraction algorithms are divided into supervised and unsupervised categories.
A. True
B. False
Solutions:
| Question 1 Answer: B | Question 2 Answer: B | Question 3 Answer: A,B,D | Question 4 Answer: A,B,C | Question 5 Answer: A |
