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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) requires knowledge of the sample data's distribution type.

A) FALSE
B) TRUE

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

A) FALSE
B) TRUE

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

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

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) 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) Gamma correction applies only to grayscale images and does not apply to color images.
D) 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.

5. The deep neural network (DNN)-hidden Markov model (HMM) does not require the HMM-Gaussian mixture model (GMM) as an auxiliary.

A) FALSE
B) TRUE

Solutions: