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

1. Overfitting is a condition where a model is overly simple and excessive generalization errors occur.

A) FALSE
B) TRUE

2. The development of large models should comply with ethical principles to ensure the legal, fair, and transparent use of data.

A) FALSE
B) TRUE

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

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

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 about the standard normal distribution are true?

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

Solutions: