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
Which of the following parameters can be set by the nperseg parameter in the spectrogram function?
- A . Sampling frequency
- B . Frame Shift
- C . Window Function
- D . Frame length
Which of the following options is Huawei’s artificial intelligence computing platform?
- A . ModelArts
- B . Huawei Cloud EI
- C . ECS
- D . Atlas
The digital image acquisition process is similar to that of the human eye, using a large number of photosensitive sensors to form an array to acquire images.
The quality of sensor imaging is determined by which of the following? (Multiple choice)
- A . Number of sensor units
- B . Grayscale
- C . Sensor weight
- D . Sensor performance
In which field of a ModelArts training job can user -defined hyperparameters be set?
- A . Resource Pool
- B . Operating parameters
- C . Number of computing nodes
- D . Algorithm source
In the image preprocessing filtering experiment, which of the following functions calls OpenCV’s median blur API?
- A . cv2.GaussianBlur(im, (5, 5), 0)
- B . cv2.blur(im, (3, 3))
- C . cv2.medianBlur(im, 5)
- D . cv2.filter2D(im, -1, sharpen_1)
What are the methods for extracting speech signal features? (Multiple choice)
- A . Linear Prediction Coefficient (LPC)
- B . Mel Frequency Cepstral Coefficient (MFCC)
- C . Perceptual Linear Prediction (PLP)
- D . Line Spectral Pair Parameter (LSP)
Set the reset gate of GRU to 1 and the update gate to ________, then you will get the standard RNN model.
Inversion in image processing refers to the inversion of pixel grayscale values.
- A . True
- B . False
Which of the following descriptions of the depth and width of deep learning neural networks are correct? (Multiple choice)
- A . Experiments have shown that increasing network width is much more efficient than increasing network depth.
- B . Experiments have shown that increasing the depth of the network is much more efficient than increasing the width of the network.
- C . The more layers of the neural network, the better
- D . When there are only two hidden layers, no matter how many neurons are added, the performance improvement of the network is very limited. However, if one more hidden layer is added, the performance of the model will be significantly improved.
What are the types of pooling? (Multiple choice)
- A . Max Pooling
- B . Average Pooling
- C . Minimum Pooling
- D . Convolution Pooling