Huawei H13-321_V2.0 Practice Exams
Last updated on Oct 24,2026- Exam Code: H13-321_V2.0
- Exam Name: HCIP-AI-EI Developer V2.0
- Certification Provider: Huawei
- Latest update: Oct 24,2026
Reinforcement learning is different from supervised learning in connectionist learning, mainly in terms of teacher signals. In reinforcement learning, the reinforcement signal provided by the environment is an evaluation of the quality of the action (usually a scalar signal), rather than telling the reinforcement learning system how to generate the correct action.
- A . True
- B . False
The main purpose of image preprocessing is to eliminate irrelevant information in the image, restore useful real information, enhance the detectability of relevant information, and simplify the data to the maximum extent, thereby improving the reliability of feature extraction, image segmentation, matching and recognition.
- A . True
- B . False
Regarding Gaussian mixture model, which of the following statements is correct? (Multiple choice)
- A . Gaussian mixture model is a linear combination of multiple single Gaussian models
- B . Gaussian mixture model can use EM algorithm to learn model parameters
- C . The number of sub-models K of the Gaussian mixture model needs to be given in advance
- D . Gaussian mixture model can theoretically simulate any form of distribution
Keyword extraction algorithms are divided into supervised and unsupervised categories.
- A . True
- B . False
The larger the image sampling interval, the higher the spatial resolution of the image, and thus the better the image quality.
- A . True
- B . False
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 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.
- B . Underfitting refers to the situation where the model performs well during training but performs poorly during prediction.
- C . Overfitting refers to a situation where the model does not fit the training data sufficiently.
- D . Underfitting refers to a situation where the model performs well both during training and prediction.
Which of the following is not a speech acoustic feature?
- A . Duration
- B . Semantics
- C . Frequency
- D . Amplitude
Image feature extraction is a dimensionality reduction idea that can effectively reduce the amount of image data.
- A . True
- B . False
Machine translation refers to the use of deep learning models to translate English into Chinese characters.
- A . True
- B . False
What are the tasks of machine learning scenarios? (Multiple choice)
- A . Regression
- B . Classification
- C . Clustering
- D . Generate