Huawei H13-321_V2.5 Exam Questions : HCIP-AI-EI Developer V2.5

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Huawei H13-321_V2.5 Exam Syllabus Topics:

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

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

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

3. 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

4. The basic operations of morphological processing include dilation and erosion. These operations can be combined to achieve practical algorithms such as opening and closing operations.

A) TRUE
B) FALSE

5. Which of the following statements about the functions of layer normalization and residual connection in the Transformer is true?

A) In shallow networks, residual connections are beneficial, but they aggravate the vanishing gradient problem in deep networks.
B) Residual connections and layer normalization help prevent vanishing gradients and exploding gradients in deep networks.
C) Residual connections primarily add depth to the model but do not aid in gradient propagation.
D) Layer normalization accelerates model convergence and does not affect model stability.

Solutions: