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

1. In the image recognition algorithm, the structure design of the convolutional layer has a great impact on its performance. Which of the following statements are true about the structure and mechanism of the convolutional layer? (Transposed convolution is not considered.)

A) The convolutional layer uses parameter sharing so that features at different positions share the same group of parameters. This reduces the number of network parameters required but reduces the expression capabilities of models.
B) In the convolutional layer, each neuron only collects some information. This effectively reduces the memory required.
C) A stride in the convolutional layer can control the spatial resolution of the output feature map. A larger stride indicates a smaller output feature map and simpler calculation.
D) The convolutional layer slides over the input feature map using a convolution kernel of a fixed size to extract local features without explicitly defining their features.

2. In an HSV color space, H is for hue, S is for saturation, and V is for value. Which of the following statements about the HSV color space are true?

A) Saturation describes how vivid the color is. The lower the saturation, the closer the color is to gray. The higher the saturation, the more vivid the color.
B) Hue indicates the basic color attributes, such as red, green, and blue.
C) Value is a measure of brightness. The image brightness can be enhanced by processing the V component of the HSV color space.
D) The HSV color space perceives colors differently from human eyes, so it is not suitable for image segmentation or color analysis.

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

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

4. Which of the following is a learning algorithm used for Markov chains?

A) Exhaustive search
B) Viterbi algorithm
C) Forward-backward algorithm
D) Baum-Welch algorithm

5. Which of the following has never been used as a method in the history of NLP?

A) Statistics-based method
B) Deep learning-based method
C) Recursion-based method
D) Rule-based method

Solutions: