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Huawei H13-321_V2.5 Exam Syllabus Topics:

Huawei HCIP-AI-EI Developer V2.5 Sample Questions:

1. Maximum likelihood estimation (MLE) can be used for parameter estimation in a Gaussian mixture model (GMM).

A) TRUE
B) FALSE

2. Among image preprocessing techniques, gamma correction is a common non-linear brightness adjustment method. Which of the following statements are true about the application and features of gamma correction?

A) When # > 1, the input low grayscale range is compressed, and the high grayscale range is stretched, enhancing the bright areas while compressing the dark areas.
B) Gamma correction is an enhancement technique based on exponential transformation mapping. It is used for non-linear contrast stretching.
C) When # < 1, the input high grayscale range is compressed, and the low grayscale range is stretched, enhancing the dark areas while compressing the bright areas.
D) Gamma correction applies only to grayscale images and does not apply to color images.

3. Overfitting is a condition where a model is overly simple and excessive generalization errors occur.

A) TRUE
B) FALSE

4. In cases where the bright and dark areas of an image are too extreme, which of the following techniques can be used to improve the image?

A) Grayscale compression
B) Inversion
C) Grayscale stretching
D) Gamma correction

5. Vision transformer (ViT) performs well in image classification tasks. Which of the following is the main advantage of ViT?

A) It can process high-resolution images to enhance classification accuracy.
B) It achieves fast convergence without using pre-trained models.
C) It can handle small datasets with minimal labeling required.
D) The self-attention mechanism is used to capture global features of images, improving classification accuracy.

Solutions: