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. Mel-frequency cepstral coefficients (MFCCs) take into account human auditory characteristics by first mapping the linear spectrum to the Mel nonlinear spectrum based on auditory perception, and then converting it to the cepstral domain.

A) TRUE
B) FALSE

2. 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

3. The attention mechanism in foundation model architectures allows the model to focus on specific parts of the input data. Which of the following steps are key components of a standard attention mechanism?

A) Normalize the attention scores to obtain attention weights.
B) Calculate the dot product similarity between the query and key vectors to obtain attention scores.
C) Compute the weighted sum of the value vectors using the attention weights.
D) Apply a non-linear mapping to the result obtained after the weighted summation.

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

A) It can process high-resolution images to enhance classification accuracy.
B) It can handle small datasets with minimal labeling required.
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.

5. If OpenCV is used to read an image and save it to variable "img" during image preprocessing, (h, w) = img.
shape[:2] can be used to obtain the image size.

A) TRUE
B) FALSE

Solutions: