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Huawei H13-321_V2.5 Exam Syllabus Topics:

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

1. 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 high grayscale range is compressed, and the low grayscale range is stretched, enhancing the dark areas while compressing the bright areas.
C) 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.
D) Gamma correction is an enhancement technique based on exponential transformation mapping. It is used for non-linear contrast stretching.

2. When training a deep neural network model, a loss function measures the difference between the model's predictions and the actual labels.

A) TRUE
B) FALSE

3. In 2017, the Google machine translation team proposed the Transformer in their paperAttention is All You Need. In a Transformer model, there is customized LSTM with CNN layers.

A) TRUE
B) FALSE

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

A) TRUE
B) FALSE

5. Which of the following has never been used as a method in the history of NLP?

A) Deep learning-based method
B) Recursion-based method
C) Rule-based method
D) Statistics-based method

Solutions: