Answer: Maintenance. This is the stage where software is updated and hardware issues are fixed if and when they occur. Retirement. In this final stage, hardware becomes unusable or no longer needed and it needs to be properly removed from the fleet
Explanation:
R markdown notebook describes a notebook format in R programming which supports R programmers to run codes while also writing documents or explanation alongside. Hence, the missing option is Dashboard.
- R markdown may be compared to jupyter notebooks which also supports writing in markdown language.
- The R markdown notebooks can be created using the R studio, which allows the conversion notebooks of these notebooks into several different formats including the creation of dashboards.
Hence, R markdown notebooks can be converted to <em>HTML</em><em> </em><em> </em><em> </em><em>PDF</em><em>,</em><em> </em><em>word</em><em> </em><em>document</em><em>,</em><em> </em><em>slide</em><em> </em><em>presentation</em><em> </em><em>and</em><em> </em>dashboards.
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Answer:
The comparison is based on memory organization schemes of contiguous memory allocation and paging with respect to External fragmentation, Internal fragmentation and Ability to share code across processes.
Explanation:
Memory organization schemes of contiguous memory allocation:
Contiguous memory allocation schemes suffers from external fragmentation. The reason is that address space is distributed contiguously and the holes and gaps keep growing when the old processes die and new processes are introduced. The variable size partition suffers from external fragmentation however the fixed size partitions do not suffer from external fragmentation. Contiguous memory allocation with variable size partitions does not encounter an internal fragmentation but with fixed size partitions suffers from internal fragmentation. Contiguous memory allocation does not support sharing code across processes. This is because the virtual memory segment of a process is not fragmented into non-contiguous fine grained blocks.
Paging:
Paging does not encounter external fragmentation as pages are of the fixed or equal size. So this reduces external fragmentation. However paging suffers from internal fragmentation. This is because a process can request more space or it can request for a less space. When page is allocated to the such a process that page is no longer utilized.This results in internal fragmentation because of the wastage of space even when the page has internal space but cannot be fully utilized. Paging allows to share code across processes.
Answer:
See Explaination
Explanation:
Separating this critical section into two sections:
void transaction(Account from, Account to, double amount)
{
Semaphore lock1, lock2;
lock1 = getLock(from);
lock2 = getLock(to);
wait(lock1);
withdraw(from, amount);
signal(lock1);
wait(lock2);
deposit(to, amount);
signal(lock2);
}
will be the best solution in the real world, because separating this critical section doesn't lead to any unwanted state between them (that is, there will never be a situation, where there is more money withdrawn, than it is possible).
The simple solution to leave the critical section in one piece, is to ensure that lock order is the same in all transactions. In this case you can sort the locks and choose the smaller one for locking first.
I think the answer is b
hope this helps :)