A scientific theory can never be disproven. true or false

1. so if i wanted to build a linux server for web services(apache) with 1cpu and 2 gb of memory.-operating at 75% of memory capacity2. a windows server with 2 cpu/ 4gb memory- operating at 85% of memory capacity3. a storage server with 1 cpu/ 2gb memory- operating at 85% of memory capacityhow much memory do i have to add for each server.so that the utilization rate for both cpu and memory is at a baseline of 60%."the details for the cpu like its processor or the memory's speed isnt to be concerned" yeah i kept asking my teacher if he's even sure about the but the whole class seems to be confused and the project is due in 3 days..this is a virtualization project where i have to virtualize a typical server into an exsi hypervisor.

Apython programming question: assume s is a string of lower case characters. write a program that prints the number of times the string 'bob' occurs in s. for example, if s = 'azcbobobegghakl', then your program should print number of times bob occurs is: 2

When making changes to optimize part of a processor, it is often the case that speeding up one type of instruction comes at the cost of slowing down something else. for example, if we put in a complicated fast floating-point unit, that takes space, and something might have to be moved farther away from the middle to accommodate it, adding an extra cycle in delay to reach that unit. the basic amdahl's law equation does not take into account this trade-off. a. if the new fast floating-point unit speeds up floating-point operations by, on average, 2ă—, and floating-point operations take 20% of the original program's execution time, what is the overall speedup (ignoring the penalty to any other instructions)? b. now assume that speeding up the floating-point unit slowed down data cache accesses, resulting in a 1.5ă— slowdown (or 2/3 speedup). data cache accesses consume 10% of the execution time. what is the overall speedup now? c. after implementing the new floating-point operations, what percentage of execution time is spent on floating-point operations? what percentage is spent on data cache accesses?