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Huawei H13-321_V2.5 Exam Syllabus Topics:

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

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

A) TRUE
B) FALSE

2. Which of the following methods are useful when tackling overfitting?

A) Data augmentation
B) Using more complex models
C) Using dropout during model training
D) Using parameter norm penalties

3. The development of large models should comply with ethical principles to ensure the legal, fair, and transparent use of data.

A) TRUE
B) FALSE

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

A) It achieves fast convergence without using pre-trained models.
B) It can process high-resolution images to enhance classification accuracy.
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.

5. Mel-frequency cepstral coefficients (MFCCs) take into account human auditory characteristics by first mapping the linear spectrum to the Mel nonlinear spectrum based on auditory perception, and then converting it to the cepstral domain.

A) TRUE
B) FALSE

Solutions: