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

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

1. The perceptron is used to receive multiple signals and output a signal (composed of multiple neurons). Each input signal has a certain weight, and the product of the values of multiple input signals and the weights is calculated. The result (sum) is compared with the specified threshold to determine whether the neuron is activated.

A) False
B) True

2. Which of the following options is the architecture adopted by Huawei's Atlas series chips?

A) Gaussian
B) Leonardo da Vinci
C) Von Neumann
D) Ascend

3. Images with low grayscale levels have richer layers and can show more details than images with high grayscale levels.

A) False
B) True

4. In the process of model training and evaluation, overfitting and underfitting often occur. Which of the following descriptions of overfitting and underfitting is correct?

A) Overfitting refers to a situation where the model does not fit the training data sufficiently.
B) Overfitting is reflected in the evaluation indicators, that is, the model performs well on the training set, but performs poorly on the test set and new data.
C) Underfitting refers to a situation where the model performs well both during training and prediction.
D) Underfitting refers to the situation where the model performs well during training but performs poorly during prediction.

5. In certain areas, artificial intelligence is approaching or surpassing human capabilities.

A) False
B) True

Solutions: