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
After the ModelArts automatic learning object detection model is deployed, users can add pictures for testing. Which of the following options are output prediction results? (Multiple choice)
- A . Confidence of each detection box
- B . Four-point coordinates of each detection box
- C . The true label of each detection box
- D . Label predicted by each detection box
Which of the following descriptions of the shortcomings of the co -occurrence matrix + SVD is wrong?
- A . SVD only learns shallow semantics (correct)
- B . The co-occurrence matrix does not take into account the order of words (correct)
- C . SVD calculation is large
- D . The co-occurrence matrix is high-dimensional and sparse (correct)
During ModelArts training, you can dynamically monitor the training process, including service resource consumption, configuration information, logs, resource usage, Tensorboard visualization, version comparison, etc.
- A . True
- B . False
In certain areas, artificial intelligence is approaching or surpassing human capabilities.
- A . True
- B . False
Which of the following indicators cannot be output by the classification_report in the sklearn.metrics model evaluation indicator module?
- A . f1-Score
- B . recall
- C . accuracy
- D . precision
What is the dimension of the commonly used Mel-Frequency Cepstral Coefficients?
- A . 36
- B . 12
- C . 39
- D . 13
Please match the following artificial intelligence algorithms and their corresponding fields
The larger the template size, the better the denoising effect of the mean filter. When performing denoising, a large-sized template should be selected for mean filtering.
- A . True
- B . False
Visualizing the feature map of the first layer of a convolutional neural network can show clear target features.
- A . True
- B . False
Compared with the Sigmoid activation function, which of the following options are the advantages of ReLU? (Multiple choice)
- A . Alleviating the vanishing gradient problem
- B . Alleviating the gradient explosion problem
- C . Globally configurable
- D . Save computational effort