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 statements about the multi-head attention mechanism of the Transformer are true?

A) The concatenated output is fed directly into the multi-headed attention mechanism.
B) The dimension for each header is calculated by dividing the original embedded dimension by the number of headers before concatenation.
C) Each header's query, key, and value undergo a shared linear transformation to obtain them.
D) The multi-head attention mechanism captures information about different subspaces within a sequence.

2. If a scanned document is not properly placed, and the text is tilted, it is difficult to recognize the characters in the document. Which of the following techniques can be used for correction in this case?

A) Perspective transformation
B) Grayscale transformation
C) Affine transformation
D) Rotational transformation

3. Which of the following applications are supported by ModelArts ExeML?

A) Predictive maintenance of manufacturing equipment
B) Anomalous sound detection in production or security scenarios
C) Dress code conformance monitoring in campuses
D) Automatic offering classification

4. When training a deep neural network model, a loss function measures the difference between the model's predictions and the actual labels.

A) TRUE
B) FALSE

5. 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.)

Solutions: