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Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
1. What are the advantages of deep learning-based speech recognition algorithms?
A) Automated feature extraction
B) End-to-end task processing
C) Forced alignment of annotated data
D) No data training
2. Which of the following statements about the functions of layer normalization and residual connection in the Transformer is true?
A) Layer normalization accelerates model convergence and does not affect model stability.
B) Residual connections and layer normalization help prevent vanishing gradients and exploding gradients in deep networks.
C) Residual connections primarily add depth to the model but do not aid in gradient propagation.
D) In shallow networks, residual connections are beneficial, but they aggravate the vanishing gradient problem in deep networks.
3. Which of the following methods are useful when tackling overfitting?
A) Using dropout during model training
B) Using more complex models
C) Using parameter norm penalties
D) Data augmentation
4. How many parameters need to be learned when a 3 × 3 convolution kernel is used to perform the convolution operation on two three-channel color images?
A) 10
B) 55
C) 9
D) 28
5. Which of the following statements about the functions of the encoder and decoder is true?
A) The output lengths of the encoder and decoder are the same.
B) The decoder converts variable-length input sequences into fixed-length context vectors, encoding the information of the input sequences in the context vectors.
C) The encoder converts context vectors into variable-length output sequences.
D) The encoder converts variable-length input sequences into fixed-length context vectors, encoding the information of the input sequences in the context vectors.
Solutions:
| Question # 1 Answer: A,B | Question # 2 Answer: B | Question # 3 Answer: A,C,D | Question # 4 Answer: D | Question # 5 Answer: D |
By Bella
