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

1. Transformer models outperform LSTM when analyzing and processing long-distance dependencies, making them more effective for sequence data processing.

A) TRUE
B) FALSE

2. In 2017, the Google machine translation team proposed the Transformer in their paperAttention is All You Need. The Transformer consists of an encoder and a(n) --------. (Fill in the blank.)

3. A text classification task has only one final output, while a sequence labeling task has an output in each input position.

A) TRUE
B) FALSE

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

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

5. 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) Gamma correction applies only to grayscale images and does not apply to color images.
B) 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.
C) Gamma correction is an enhancement technique based on exponential transformation mapping. It is used for non-linear contrast stretching.
D) 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.

Solutions: