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
ModelArts automatic learning will automatically search for the best neural network architecture, hyperparameters, and automatically perform data enhancement, without the need for user coding and parameter adjustment, and the threshold is very low.
- A . True
- B . False
The model is trained based on the labeled data. The output of the model prediction is a continuous value. An example of this type of task is to predict the claim amount of the insured (used to set the insurance premium). What type of task does this machine learning belong to?
- A . Regression
- B . Clustering
- C . Generate
- D . Classification
How difficult is speech recognition?
- A . Personal characteristics
- B . Scenarios
- C . Geographical factors
- D . All of the above
The perceptron is doing a simple binary classification task.
- A . True
- B . False
The brightness of an image refers to how bright the image is. How many variations can a 4-bit image distinguish?
- A . 8
- B . 16
- C . 128
- D . 256
Which of the following schools of thought does the expert system belong to?
- A . Symbolism
- B . Connectionism (Neural Networks)
- C . Behaviorism (robot dogs, robot animals)
- D . None of the above
How to label object detection tasks in data management?
- A . Use a circle to frame the target
- B . Use a rectangle to frame the target
- C . Use an ellipse to frame the target
- D . Enter a category label for the image
Which of the following descriptions of the "boundedness" factors that need to be considered when designing activation functions are correct? (Multiple choice)
- A . If the activation function is bounded, the loss function associated with a single-layer model is convex
- B . If the activation function is bounded, gradient-based training methods tend to be more stable
- C . If the activation function is unbounded, training is usually more efficient, but the training is prone to divergence. In this case, the learning rate can be appropriately reduced.
- D . Bounded functions have been shown to generalize better in some cases
What is the unique gate structure of GRU?
- A . Input Gate
- B . Output Gate
- C . Forget Gate
- D . Update Gate
The Gaussian model uses the Gaussian density function to accurately quantify things and decomposes one thing into several models based on Bernoulli distribution.
- A . True
- B . False