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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 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.

2. ------- is a model that uses a convolutional neural network (CNN) to classify texts.

3. The accuracy of object location detection can be evaluated using the intersection over union (IoU) value, which is a ratio. The denominator is the overlapping area between the prediction bounding box and ground truth bounding box, and the numerator is the area of union encompassed by both boxes.

A) FALSE
B) TRUE

4. Which of the following statements about the multi-head attention mechanism of the Transformer are true?

A) The dimension for each header is calculated by dividing the original embedded dimension by the number of headers before concatenation.
B) The multi-head attention mechanism captures information about different subspaces within a sequence.
C) The concatenated output is fed directly into the multi-headed attention mechanism.
D) Each header's query, key, and value undergo a shared linear transformation to obtain them.

5. Which of the following statements about the functions of the encoder and decoder is true?

A) The encoder converts context vectors into variable-length output sequences.
B) The decoder converts variable-length input sequences into fixed-length context vectors, encoding the information of the input sequences in the context vectors.
C) The encoder converts variable-length input sequences into fixed-length context vectors, encoding the information of the input sequences in the context vectors.
D) The output lengths of the encoder and decoder are the same.

Solutions: