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

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

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

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

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

3. Which of the following are the impacts of the development of large models?

A) The accuracy and efficiency of natural language processing tasks will improve
B) Data privacy and security issues will be exacerbated
C) Large models will completely replace small and domain-specific models
D) Model pre-training costs will be reduced

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) 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) 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.
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. In the field of deep learning, which of the following activation functions has a derivative not greater than 0.5?

A) SeLU
B) ReLU
C) Sigmoid
D) Tanh

Solutions: