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Huawei HCIP-AI-EI Developer V2.0 Sample Questions:

1. With the initial probability and transition probability matrix, the probability of any state can be calculated.

A) True
B) False

2. Which of the following factors can be used to describe the hidden Markov model? (Multiple choice)

A) Observation sequence
B) State Collection
C) Observation Set
D) State sequence

3. The Markov characteristic in the HMM model is reflected in the fact that the occurrence of the state at the next time point is related to all historical states.

A) True
B) False

4. For a pixel P with coordinates (x, y), P has four horizontal and vertical neighboring pixels, called a 4-neighborhood. Which of the following can correctly represent the coordinates of the 4-neighborhood?

A) (x-1, y), (x+1, y), (x, y-1), (x, y-1)
B) (x-1, y), (x+1, y), (x, y+1), (x, y+1)
C) (x-1, y), (x+1, y), (x, y-1), (x, y+1)
D) (x-1, y), (x-1, y), (x, y-1), (x, y+1)

5. A car company's products, factory A accounts for 60%, factory B accounts for 40%, the defective rate of A is 1%, the defective rate of B is 3%. Now a car is selected and it is defective. What is the probability that it was produced by factory A?

A) 1/2
B) 1/3
C) 2/3
D) 1/6

Solutions: