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Huawei H13-321_V2.5 Exam Syllabus Topics:

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

1. -------- 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.)

2. Which of the following statements about the standard normal distribution are true?

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

3. Maximum likelihood estimation (MLE) can be used for parameter estimation in a Gaussian mixture model (GMM).

A) TRUE
B) FALSE

4. In 2017, the Google machine translation team proposed the Transformer in their paperAttention is All You Need. In a Transformer model, there is customized LSTM with CNN layers.

A) TRUE
B) FALSE

5. Which of the following statements about the functions of layer normalization and residual connection in the Transformer is true?

A) Residual connections and layer normalization help prevent vanishing gradients and exploding gradients in deep networks.
B) In shallow networks, residual connections are beneficial, but they aggravate the vanishing gradient problem in deep networks.
C) Layer normalization accelerates model convergence and does not affect model stability.
D) Residual connections primarily add depth to the model but do not aid in gradient propagation.

Solutions: