Answer:
Round-Robin DNS
Explanation:
According to my experience in Information Technology and Networking it can be said that based on the information provided the best solution would be to set up a Round-Robin DNS. This term refers to a technique used to balance the load on a server, where a client request is sent to each server one at a time, and then the system repeats the process from the top of the request list. This prevents the server from being drowned in a sea of simultaneous requests.
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Answer:
the CPU utilization decreases as the degree of multiprogramming is increased.
Explanation:
The fundamental concept is that allocating a process with too few frames causes too many and frequent page faults. This implies that the CPU does not perform any useful work and thus its utilization would decrease drastically. In this case, the long-term scheduler, in a bid to improve the utilization of the CPU, would load more processes into the memory so as to increase the extent of multiprogramming. As a result, there would be more decrease in the utilization of the CPU, leading to a chained reaction of higher page faults, which is then followed by a corresponding increase in the multiprogramming degree, usually known as thrashing.
Answer:
While loops are typically used when you don’t know how many times the loop needs to repeat. The body of the loop will repeat while the condition is true. The logical expression will be evaluated just before the body of the loop is repeated.
Let’s say that we want to find the square root of a number. For some square roots, you’re never going to be exact. Let’s say that we want to find a square root that, when multiplied by itself, is within 0.01 of the square we want. How do we do it? There’s a really old process that we can apply here.
Start by guessing 2.
Compute the guess squared.
Is the guess squared close to the target number? If it’s within 0.01, we’re done. We’ll take the absolute value of the difference, in case we overshoot. (In Python, abs is the absolute value function.)
If it’s not close enough, we divide the target number by our guess, then average that value with our guess.
That’s our new guess. Square it, and go back to Step #3.
Explanation:
Answer:
Gold is more useful than iron
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