Answer:
The correct answer is letter "D": Monte Carlo simulations do not consider risks.
Explanation:
The Monte Carlo analysis is a risk management study that allows identifying different outcomes and possibilities of carrying out a project. It is useful at the moment of determining the project costs and the estimated time it will take to complete the plan. Besides, the Monte Carlo analysis uses quantitative data to compute its calculations which ensures to provide more accurate information and minimizes ambiguity in project schedules and costs.
Answer:
By providing additional or alternate equipment, or planning alternate network paths, you ensure availability in the case of device or path failure. Building in redundancy gives you a network failover to avoid an extended outage (AKA, disaster recovery).
I’m pretty sure you can; or u can also screenshot n send, which is what i usually doooo
I hope this helps but cars, phones and computers.
Answer:
Explanation:
The following code is written in Python. It creates a variable that detects the current time. Then it loops through a range of numbers and chooses the last random number after 2 seconds. Finally, it prints that number to the screen. This function can be called countless times depending on the number of state lottery numbers needed.
import random
import time
start_time = time.time()
while time.time() - start_time < 2:
lottery_number = random.randint(0, 48)
print(lottery_number)
