Huawei H13-321_V2.0 Practice Exams
Last updated on Oct 22,2026- Exam Code: H13-321_V2.0
- Exam Name: HCIP-AI-EI Developer V2.0
- Certification Provider: Huawei
- Latest update: Oct 22,2026
Markov chain refers to a discrete event random process with Markov properties in mathematics.
- A . True
- B . False
Which of the following descriptions of gradient disappearance and gradient explosion are correct? (Multiple choice)
- A . The gradient explosion problem can be effectively solved by simple gradient clipping
- B . Gradient explosion usually occurs in deep networks and when the weight initialization value is too large
- C . One of the reasons for the disappearance of gradients is the use of inappropriate activation functions in deep networks, such as sigmoid
- D . The gradient disappearance problem can be effectively solved by simple gradient clipping
Which of the following options belongs to the preparation task before the third step of training the neural network (calculating the loss value between the predicted value and the target value through the loss function)? (Multiple choice)
- A . Define the network structure and initialize network parameters
- B . Model converges and training ends
- C . Update parameters by minimizing the loss value through gradient descent and back propagation algorithm
- D . Input data features and get predicted values through forward propagation
After affine transformation, the square in the image may not still be a square.
- A . True
- B . False
Which of the following options is the application classification of Al chip business?
- A . Inference and acceleration
- B . Acceleration and Training
- C . Training and Inference
- D . Compilation and training
Which of the following options are common unsupervised algorithms? (Multiple choice)
- A . k-means
- B . PCA
- C . GMM
- D . Spectral clustering
When using ModelArts automatic learning to build an image classification project, the images used for training must have at least () categories, and the number of images for each category must be no less than ()
If the metrics parameter is not specified during Model.compile, the loss value will not be output.
- A . True
- B . False
The target in the image is 15 pixels to the right of the center. Which of the following translation coordinate transformations can be used to move the target to the center of the image?
- A . (0, 15)
- B . (0, -15)
- C . (15, 0)
- D . (-15, 0)