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Huawei H13-321_V2.5 Exam Syllabus Topics:

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

1. How many parameters need to be learned when a 3 × 3 convolution kernel is used to perform the convolution operation on two three-channel color images?

A) 55
B) 10
C) 9
D) 28

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

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

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

A) FALSE
B) TRUE

5. Mel-frequency cepstral coefficients (MFCCs) take into account human auditory characteristics by first mapping the linear spectrum to the Mel nonlinear spectrum based on auditory perception, and then converting it to the cepstral domain.

A) FALSE
B) TRUE

Solutions: