Suppose we have n bits of memory available, and our set S has m members. Instead of using k hash functions, we could divide the n bits into k arrays, and hash once to each array. As a function of n, m, and k, what is the probability of a false positive? How does it compare with using k hash functions into a single array?

Reading characters and strings from the keyboard: consider the following c++ program 1. #include 2. #include 3. using namespace std; 4. mystring1 5. 6. int main() 7. { 8. 9. string mystring1, mystring2; mychar1 10. 11. 12. char mychar1, mychar2; 13. 14. cout< < "enter a string: "; mychar2 15. 16. cin> > mystring1; // 17. cin.get(mychar1); 18. cin> > mychar2; 19. getline(cin,mystring2); mystring2 20. 21. 22. cout<

An ou structure in your domain has one ou per department, and all the computer and user accounts are in their respective ous. you have configured several gpos defining computer and user policies and linked the gpos to the domain. a group of managers in the marketing department need different policies that differ from those of the rest of the marketing department users and computers, but you don't want to change the top-level ou structure. which of the following gpo processing features are you most likely to use? a, block inheritance b, gpo enforcement c, wmi filtering d, loopback processing

Which of the following is not a “fatal four” event?