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

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Huawei H13-321_V2.5 Exam Syllabus Topics:

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

1. 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) Model pre-training costs will be reduced
C) Large models will completely replace small and domain-specific models
D) Data privacy and security issues will be exacerbated

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

A) It achieves fast convergence without using pre-trained models.
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 can handle small datasets with minimal labeling required.

3. The basic operations of morphological processing include dilation and erosion. These operations can be combined to achieve practical algorithms such as opening and closing operations.

A) TRUE
B) FALSE

4. 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) TRUE
B) FALSE

5. The mAP evaluation metric in object detection combines accuracy and recall.

A) TRUE
B) FALSE

Solutions: