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

1. A text classification task has only one final output, while a sequence labeling task has an output in each input position.

A) FALSE
B) TRUE

2. Maximum likelihood estimation (MLE) can be used for parameter estimation in a Gaussian mixture model (GMM).

A) FALSE
B) TRUE

3. Vision transformer (ViT) performs well in image classification tasks. Which of the following is the main advantage of ViT?

A) It can handle small datasets with minimal labeling required.
B) It can process high-resolution images to enhance classification accuracy.
C) The self-attention mechanism is used to capture global features of images, improving classification accuracy.
D) It achieves fast convergence without using pre-trained models.

4. 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) In the convolutional layer, each neuron only collects some information. This effectively reduces the memory required.
B) 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.
C) 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.
D) 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.

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

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

Solutions: