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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:

Huawei HCIP-AI-EI Developer V2.0 Sample Questions:

1. The expressive power of a single perceptron is limited. It can only express linear decision surfaces (hyperplanes). If we interconnect many perceptrons, just like the human brain, we can express a wide variety of nonlinear surfaces.

A) False
B) True

2. Which of the following descriptions of the shortcomings of the co -occurrence matrix + SVD is wrong?

A) The co-occurrence matrix is high-dimensional and sparse (correct)
B) SVD calculation is large
C) SVD only learns shallow semantics (correct)
D) The co-occurrence matrix does not take into account the order of words (correct)

3. ModelArts model training process

4. Which of the following types of operators does the CCE operator library contain? (Multiple choice)

A) Matrix multiplication
B) Convolution
C) Vector class
D) Control

5. Huawei's full- stack, full-scenario AI solution refers to the chip enabling layer ()

Solutions: