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

1. Template matching is a basic algorithm for target detection.

A) True
B) False

2. When using ModelArts automatic learning to build a predictive analysis project, after the model training is completed for the classification problem, which of the following options will be displayed in the evaluation results? (Multiple choice)

A) F1 value
B) Recall
C) Accuracy
D) Precision

3. The higher the value on the diagonal of the confusion matrix, the better the classification effect of the classifier.

A) True
B) False

4. Which of the following descriptions of gradient disappearance and gradient explosion are correct? (Multiple choice)

A) Gradient explosion usually occurs in deep networks and when the weight initialization value is too large
B) The gradient explosion problem can be effectively solved by simple gradient clipping
C) The gradient disappearance problem can be effectively solved by simple gradient clipping
D) One of the reasons for the disappearance of gradients is the use of inappropriate activation functions in deep networks, such as sigmoid

5. Which of the following is correct about the difference between CNN applications in text and image tasks?

A) The input of color images is single-channel, and the input of text is multi-channel
B) CNN performs poorly on text classification tasks because the features it extracts are similar to the N-gram model, which is the local relationship between words.
C) CNN is suitable for image-related tasks, but performs poorly on text tasks
D) CNN performs poorly on named entity recognition tasks because the features it extracts are similar to the N-gram model, which is the local relationship between words.

Solutions: