Huawei HCIP-AI-EI Developer V2.5 : H13-321_V2.5

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Huawei H13-321_V2.5 Exam Syllabus Topics:

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

1. In an image preprocessing experiment, the cv2.imread("lena.png", 1) function provided by OpenCV is used to read images. The parameter "1" in this function represents a --------- -channel image. (Fill in the blank with a number.)

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) 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.
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) Positional encoding is optional in a transformer model because the self-attention mechanism can naturally process the order information of sequences.

3. When training a deep neural network model, a loss function measures the difference between the model's predictions and the actual labels.

A) FALSE
B) TRUE

4. In the deep neural network (DNN)-hidden Markov model (HMM), the DNN is mainly used for feature processing, while the HMM is mainly used for sequence modeling.

A) FALSE
B) TRUE

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

A) FALSE
B) TRUE

Solutions: