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

1. In 2017, the Google machine translation team proposed the Transformer in their paperAttention is All You Need. The Transformer consists of an encoder and a(n) --------. (Fill in the blank.)

2. Which of the following statements are true about the differences between using convolutional neural networks (CNNs) in text tasks and image tasks?

A) When the CNN is used for text tasks, the kernel size must be the same as the number of word vector dimensions. This constraint, however, does not apply to image tasks.
B) Color image input is multi-channel, whereas text input is single-channel.
C) For CNN, there is no difference in handling text or image tasks.
D) CNNs are suitable for image tasks, but they perform poorly in text tasks.

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

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

4. If OpenCV is used to read an image and save it to variable "img" during image preprocessing, (h, w) = img.
shape[:2] can be used to obtain the image size.

A) FALSE
B) TRUE

5. What type of task is viewed when using the Seq2Seq model in speech recognition?

A) Regression task
B) Clustering task
C) Classification task
D) Dimensionality reduction task

Solutions: