Answer:
<h2>It would go to 1000000. </h2><h2>
Explanation:</h2>
Unlike old vehicle odometers that will reach 999999 and stay there(though it is very unlikely to reach that figure) new vehicle odometers have the seventh digit reading and when it passes 999999 it would clock to 1000000.
But in reality it is less likely for vehicles to reach the 999999 mark and most vehicle owners do not get to see their vehicles reach this mark as the vehicle will either be scrapped or abandoned before it gets to that million mile
Further, the ideal behind this million miles is due to the act of bad guys who tend to spin vehicle odometers to falsify their readings making it seem as though it has not gone a long mile.
Answer:
Educational reimbursement (Tuition reimbursement)
Explanation:
Educational reimbursement or tuition reimbursement is what an employer gives to his or her employee as a way to pack for education expenses. The employer pays an amount of money for college coursework to be applied toward a degree. Moreover, this tuition reimbursement is intended for employees who want to increase their knowledge.
Answer: Open Reliability Monitor.
Explanation:
The simplest way to view this information is to open the reliability monitor.
The Reliability Monitor shows you the stability history of a system at a glance and also allows one to see the details of the events that has an effect on reliability on a daily basis.
The reliability and problem history chart which can be seen in the Reliability Monitor helps in keeping track of the overall health of the server on a daily basis.
Answer:
Time Complexity of Problem - O(n)
Explanation:
When n= 1024 time taken is t. on a particular computer.
When computer is 8 times faster in same time t , n can be equal to 8192. It means on increasing processing speed input grows linearly.
When computer is 8 times slow then with same time t , n will be 128 which is (1/8)th time 1024.
It means with increase in processing speed by x factor time taken will decrease by (1/x) factor. Or input size can be increased by x times. This signifies that time taken by program grows linearly with input size n. Therefore time complexity of problem will be O(n).
If we double the speed of original machine then we can solve problems of size 2n in time t.
