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Huawei H13-321_V2.5 Exam Syllabus Topics:

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

1. Which of the following is not an algorithm for training word vectors?

A) FastText
B) BERT
C) TextCNN
D) Word2Vec

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

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

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

A) FALSE
B) TRUE

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) 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).
B) Positional encoding is optional in a transformer model because the self-attention mechanism can naturally process the order information of sequences.
C) 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.
D) Transformer models outperform RNN and CNN in processing long texts because they can effectively capture global dependencies.

5. A text classification task has only one final output, while a sequence labeling task has an output in each input position.

A) FALSE
B) TRUE

Solutions: