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Huawei H13-321_V2.5 Exam Syllabus Topics:

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

Question 1

The U-Net uses an upsampling mechanism and has a fully-connected layer.

A. TRUE
B. FALSE

Question 2

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

Question 3

The image saturation can be enhanced by processing the ________ component of the HSV color space. (Enter H, S, or V.)

Question 4

Which of the following statements about the standard normal distribution are true?

A. The variance is 1.
B. The mean is 1.
C. The mean is 0.
D. The variance is 0.

Question 5

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

A. TRUE
B. FALSE

Solutions: