Huawei H13-321_V2.5 Exam Questions : HCIP-AI-EI Developer V2.5

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Huawei H13-321_V2.5 Exam Syllabus Topics:

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

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

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

2. Which of the following are the impacts of the development of large models?

A) The accuracy and efficiency of natural language processing tasks will improve
B) Large models will completely replace small and domain-specific models
C) Model pre-training costs will be reduced
D) Data privacy and security issues will be exacerbated

3. If a scanned document is not properly placed, and the text is tilted, it is difficult to recognize the characters in the document. Which of the following techniques can be used for correction in this case?

A) Affine transformation
B) Grayscale transformation
C) Perspective transformation
D) Rotational transformation

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

5. Which of the following is not an acoustic feature of speech?

A) Semantics
B) Amplitude
C) Frequency
D) Duration

Solutions: