Huawei HCIP-AI EI Developer H13-321_V2.5

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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. Maximum likelihood estimation (MLE) can be used for parameter estimation in a Gaussian mixture model (GMM).

A) FALSE
B) TRUE

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

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

4. 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) Perspective transformation
B) Rotational transformation
C) Grayscale transformation
D) Affine transformation

5. The attention mechanism in foundation model architectures allows the model to focus on specific parts of the input data. Which of the following steps are key components of a standard attention mechanism?

A) Compute the weighted sum of the value vectors using the attention weights.
B) Apply a non-linear mapping to the result obtained after the weighted summation.
C) Calculate the dot product similarity between the query and key vectors to obtain attention scores.
D) Normalize the attention scores to obtain attention weights.

Solutions: