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

2. What are the adjacency relationships between two pixels whose coordinates are (21,13) and (22,12)?

A) No adjacency relationship
B) 8-adjacency
C) Diagonal adjacency
D) 4-adjacency

3. Which of the following are the impacts of the development of large models?

A) Model pre-training costs will be reduced
B) Large models will completely replace small and domain-specific models
C) The accuracy and efficiency of natural language processing tasks will improve
D) Data privacy and security issues will be exacerbated

4. Which of the following statements are true about the differences between using convolutional neural networks (CNNs) in text tasks and image tasks?

A) When the CNN is used for text tasks, the kernel size must be the same as the number of word vector dimensions. This constraint, however, does not apply to image tasks.
B) CNNs are suitable for image tasks, but they perform poorly in text tasks.
C) Color image input is multi-channel, whereas text input is single-channel.
D) For CNN, there is no difference in handling text or image tasks.

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

Solutions: