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

1. The deep neural network (DNN)-hidden Markov model (HMM) does not require the HMM-Gaussian mixture model (GMM) as an auxiliary.

A) FALSE
B) TRUE

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

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

A) FALSE
B) TRUE

4. The objective of -------- is to extract and classify named entities in a text into pre-defined classes such as names, organizations, locations, time expressions, monetary values, and percentages. (Enter the abbreviation.)

5. In the field of deep learning, which of the following activation functions has a derivative not greater than 0.5?

A) Tanh
B) Sigmoid
C) ReLU
D) SeLU

Solutions: