Answer:
B
Explanation:
User Acceptance Testing (UAT) is the testing done by end users who is going to use that application. In these testing they will test whether the application meets all the functional requirements of the end user. If it passed then only the application will move to the production. This will ensure that the application meets the user requirements before it put into the usage.
The Answer is B
Answer:
Fixed-term contract is most feasible in this scenario.
Explanation:
As many as it takes of course ;)
Answer:
import numpy as np
def sample_median(n, P):
return np.median( np.random.choice ( np.arange (1, len(P) + 1 ), n, p = P ) )
print(sample_median(10,[0.1 0.2 0.1 0.3 0.1 0.2]))
print(sample_median(10,[0.1 0.2 0.1 0.3 0.1 0.2]))
print(sample_median(5, [0.3,0.7])
print(sample_median(5, [0.3,0.7])
Explanation:
- Bring in the numpy library to use the median function provided by the numpy library.
- Define the sample_median function that takes in 2 parameters and returns the median with the help of built-in random, choice and arrange functions.
- Call the sample_median function by providing some values to test and then display the results.
Output:
4.5
4.0
2.0
1.0
Answer:
Wall-e
Explanation:
We will all be fat, lazy, on floating chairs with everything in our lives being automated thanks to AI and everyone's obsession to do less.