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

1. In an image preprocessing experiment, the cv2.imread("lena.png", 1) function provided by OpenCV is used to read images. The parameter "1" in this function represents a --------- -channel image. (Fill in the blank with a number.)

2. What are the adjacency relationships between two pixels whose coordinates are (21,13) and (22,12)?

A) No adjacency relationship
B) 8-adjacency
C) 4-adjacency
D) Diagonal adjacency

3. Which of the following statements about the multi-head attention mechanism of the Transformer are true?

A) The concatenated output is fed directly into the multi-headed attention mechanism.
B) Each header's query, key, and value undergo a shared linear transformation to obtain them.
C) The multi-head attention mechanism captures information about different subspaces within a sequence.
D) The dimension for each header is calculated by dividing the original embedded dimension by the number of headers before concatenation.

4. Which of the following is not an algorithm for training word vectors?

A) BERT
B) Word2Vec
C) TextCNN
D) FastText

5. 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.

Solutions: