Huawei H13-321_V2.0 Practice Exams
Last updated on Oct 21,2026- Exam Code: H13-321_V2.0
- Exam Name: HCIP-AI-EI Developer V2.0
- Certification Provider: Huawei
- Latest update: Oct 21,2026
In the Genism package, when the word2vec parameter sg=1, it means that the CBOW algorithm is selected.
- A . True
- B . False
The perceptron is used to receive multiple signals and output a signal (composed of multiple neurons). Each input signal has a certain weight, and the product of the values of multiple input signals and the weights is calculated. The result (sum) is compared with the specified threshold to determine whether the neuron is activated.
- A . True
- B . False
When the OpenCV library performs a vertical mirroring operation on an image, the function used is cv2.flip (im, 0)
- A . True
- B . False
Which of the following types of AI chips does the Ascend AI processor belong to?
- A . NPU
- B . ASIC
- C . FPGA
- D . GPU
The color histogram of a color image cannot be calculated.
- A . True
- B . False
CANN ‘s () combined with Shengteng’s chips can reduce parameter calculations.
For a pixel P with coordinates (x, y), P has four diagonally adjacent pixels, called diagonal neighbors. Which of the following can correctly represent the coordinates of the diagonal neighbors?
- A . (x-1, y-1), (x-1, y+1), (x+1, y-1), (x+1, y+1)
- B . (x-1, y-1), (x-1, y), (x+1, y-1), (x+1, y+1)
- C . (x-1, y), (x-1, y+1), (x+1, y), (x+1, y+1)
- D . (x-1, y), (x-1, y+1), (x+1, y-1), (x+1, y)
cv2.LUT (img, trans_table) function means using OpenCV’s look up table function to modify the grayscale value of the image.
- A . True
- B . False
Which of the following options is the architecture adopted by Huawei’s Atlas series chips?
- A . Von Neumann
- B . Gaussian
- C . Ascend
- D . Leonardo da Vinci
Compared with the batch gradient descent method, which of the following options are the advantages of the mini-batch gradient descent method? (Multiple choice)
- A . Fast calculation speed in one parameter update
- B . Short time consumption
- C . Stability
- D . No gradient disappearance