Huawei H13-321_V2.5 Exam Questions : 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 functions of layer normalization and residual connection in the Transformer is true?

A) In shallow networks, residual connections are beneficial, but they aggravate the vanishing gradient problem in deep networks.
B) Residual connections and layer normalization help prevent vanishing gradients and exploding gradients in deep networks.
C) Residual connections primarily add depth to the model but do not aid in gradient propagation.
D) Layer normalization accelerates model convergence and does not affect model stability.

2. 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

3. 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

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

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

5. The technologies underlying ModelArts support a wide range of heterogeneous compute resources, allowing you to flexibly use the resources that fit your needs.

A) TRUE
B) FALSE

Solutions: