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

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

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

2. Which of the following has never been used as a method in the history of NLP?

A) Rule-based method
B) Recursion-based method
C) Statistics-based method
D) Deep learning-based method

3. -------- is a text representation method based on the bag of words (BoW) model. It decomposes words into subwords and then adds the vector representations of the subwords to obtain word vectors, fully utilizing character N-gram information. (Fill in the blank.)

4. In NLP tasks, transformer models perform well in multiple tasks due to their self-attention mechanism and parallel computing capability. Which of the following statements about transformer models are true?

A) Positional encoding is optional in a transformer model because the self-attention mechanism can naturally process the order information of sequences.
B) Transformer models outperform RNN and CNN in processing long texts because they can effectively capture global dependencies.
C) A transformer model directly captures the dependency between different positions in the input sequence through the self-attention mechanism, without using the recurrent neural network (RNN) or convolutional neural network (CNN).
D) Multi-head attention is the core component of a transformer model. It computes multiple attention heads in parallel to capture semantic information in different subspaces.

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

A) For CNN, there is no difference in handling text or image tasks.
B) 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.
C) Color image input is multi-channel, whereas text input is single-channel.
D) CNNs are suitable for image tasks, but they perform poorly in text tasks.

Solutions: