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
Natural language is a symbolic system with speech as its material shell, consisting of vocabulary and grammar. It is a natural language like Java, C++ and other languages..
- A . True
- B . False
Which of the following is the correct description of the properties of the probability density function? (Multiple choice)
- A . The probability density function can take any value
- B . The value of the probability density function is greater than or equal to 0
- C . The integral of the probability density function at positive and negative infinity is 1
- D . The integral of the probability density function at positive and negative infinity is 0
Which of the following is correct about the Gaussian distribution curve?
- A . The Gaussian curve is bell-shaped, with high ends and low in the middle.
- B . The smaller the standard deviation, the flatter the curve
- C . The Gaussian curve is bell-shaped, with low ends and high in the middle.
- D . The larger the standard deviation, the taller the curve.
The original value of the recorded pixel is s, and the value of the pixel after the change is d. The mapping function of the grayscale change is d= ks. When k>0, the grayscale stretching of the dark part of the image can be achieved.
- A . True
- B . False
Which of the following descriptions of the bimodal adaptive threshold segmentation method are correct? (Multiple choice)
- A . The bimodal method divides the image into foreground and background according to the grayscale characteristics of the image. The larger the inter-class variance between the foreground and the background, the greater the difference between the two parts that make up the image.
- B . If the image grayscale histogram is obviously bimodal, the grayscale value corresponding to the valley between the two peaks is selected as the threshold for image segmentation.
- C . Histogram bimodal method is an easy-to-understand adaptive threshold algorithm
- D . If the grayscale histogram of the image is very flat or has multiple peaks, the bimodal method cannot be used to obtain a suitable threshold.
Which of the following is a classification performance measurement indicator? (Multiple choice)
- A . Accuracy
- B . False rate
- C . recall
- D . precision
When paying by face recognition, which of the following steps is correct?
- A . Image preprocessing – Image recognition – Face detection
- B . Face recognition – image preprocessing – image detection
- C . Image preprocessing – object detection – face recognition
- D . Image preprocessing – face recognition – face segmentation
The generalization error will continue to decrease as the model complexity increases.
- A . True
- B . False
Which of the following belongs to the optimizer in gradient descent? (Multiple choice)
- A . momentum
- B . Adaboost (Ensemble learning idea)
- C . Adam (improved version of the optimizer)
- D . Adagrad (Adaptive Gradient Descent Optimizer)
Which of the following scenarios will use target tracking technology? (Multiple choice)
- A . Intelligent Transportation
- B . Scene Monitoring
- C . Text recognition (OCR)
- D . Autonomous driving