H13-321_V2.5問題集、Huawei実際の試験問題

質問 1

In cases where the bright and dark areas of an image are too extreme, which of the following techniques can be used to improve the image?

A. Grayscale stretching

B. Grayscale compression

C. Inversion

D. Gamma correction

正解: D

解説: (PassTest メンバーにのみ表示されます)

質問 2

Which of the following are the impacts of the development of large models?

A. The accuracy and efficiency of natural language processing tasks will improve

B. Large models will completely replace small and domain-specific models

C. Data privacy and security issues will be exacerbated

D. Model pre-training costs will be reduced

正解: A,C

解説: (PassTest メンバーにのみ表示されます)

質問 3

Which of the following ModelArts training parameters is used to customize hyperparameters?

A. Hyperparameter

B. Resource Pool

C. Compute Nodes

D. Algorithm Type

正解: A

解説: (PassTest メンバーにのみ表示されます)

質問 4

Which of the following statements about the functions of layer normalization and residual connection in the Transformer is true?

A. Layer normalization accelerates model convergence and does not affect model stability.

B. Residual connections and layer normalization help prevent vanishing gradients and exploding gradients in deep networks.

C. In shallow networks, residual connections are beneficial, but they aggravate the vanishing gradient problem in deep networks.

D. Residual connections primarily add depth to the model but do not aid in gradient propagation.

正解: B

解説: (PassTest メンバーにのみ表示されます)

質問 5

The basic operations of morphological processing include dilation and erosion. These operations can be combined to achieve practical algorithms such as opening and closing operations.

A. FALSE

B. TRUE

正解: B

解説: (PassTest メンバーにのみ表示されます)

質問 6

What type of task is viewed when using the Seq2Seq model in speech recognition?

A. Regression task

B. Clustering task

C. Dimensionality reduction task

D. Classification task

正解: D

解説: (PassTest メンバーにのみ表示されます)

質問 7

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

A. FALSE

B. TRUE

正解: B

解説: (PassTest メンバーにのみ表示されます)

Huawei HCIP-AI-EI Developer V2.5 - H13-321_V2.5 模擬練習