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

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

A) CNNs are suitable for image tasks, but they perform poorly in text tasks.
B) 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.
C) For CNN, there is no difference in handling text or image tasks.
D) Color image input is multi-channel, whereas text input is single-channel.

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

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

3. How many parameters need to be learned when a 3 × 3 convolution kernel is used to perform the convolution operation on two three-channel color images?

A) 28
B) 55
C) 9
D) 10

4. Which of the following methods are useful when tackling overfitting?

A) Using more complex models
B) Using parameter norm penalties
C) Data augmentation
D) Using dropout during model training

5. 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.)

Solutions: