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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) FALSE
B) TRUE

2. If OpenCV is used to read an image and save it to variable "img" during image preprocessing, (h, w) = img.
shape[:2] can be used to obtain the image size.

A) FALSE
B) TRUE

3. Which of the following statements about the standard normal distribution are true?

A) The variance is 1.
B) The mean is 1.
C) The variance is 0.
D) The mean is 0.

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

Solutions: