Huawei H13-321_V2.5

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

1. Maximum likelihood estimation (MLE) requires knowledge of the sample data's distribution type.

A) FALSE
B) TRUE

2. Which of the following methods are useful when tackling overfitting?

A) Using dropout during model training
B) Using parameter norm penalties
C) Using more complex models
D) Data augmentation

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

A) In shallow networks, residual connections are beneficial, but they aggravate the vanishing gradient problem in deep networks.
B) Residual connections and layer normalization help prevent vanishing gradients and exploding gradients 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.

5. Which of the following statements about the levels of natural language understanding are true?

A) Syntactic analysis is to find out the meaning of words, structural meaning, their combined meaning, so as to determine the true meaning or concept expressed by a language.
B) Semantic analysis is to analyze the structure of sentences and phrases to find out the relationship between words and phrases, as well as their functions in sentences.
C) Lexical analysis is to find the lexemes of a word and obtain linguistic information from them.
D) Pragmatic analysis is to study the influence of the language's external environment on the language users.
E) Speech analysis involves distinguishing independent phonemes from a speech stream based on phoneme rules, and then identifying syllables and their lexemes or words according to the phoneme form rules.

Solutions: