Huawei H13-321_V2.5 real exam prep : HCIP-AI-EI Developer V2.5

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

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

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

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

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

3. 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.)

4. The U-Net uses an upsampling mechanism and has a fully-connected layer.

A) FALSE
B) TRUE

5. The natural language processing field usually uses distributed semantic representation to represent words.
Each word is no longer a completely orthogonal 0-1 vector, but a point in a multi-dimensional real number space, which is specifically represented as a real number vector.

A) FALSE
B) TRUE

Solutions: