Answer: Independent data mart is the subset of data that is obtained from the data warehouse in independent form. Various traits are used for the display of the independent data marts.They are built in the independent manner from each other .
It is utilized by the organization for the analysis of the certain unit of data in compact form. Independent data mart does not persist the central data warehouse. The operational sources gets distributed in the independent section known as data marts. It is usually preferred by small organizations.
This is for Python
numbers = [7, 3, 6, 9, 0]
print(numbers.sort())
Output: [0, 3, 6, 7, 9]
numbers = [7, 3, 6, 9, 0]
print(numbers.sort(reverse = True))
Output: [9, 7, 6, 3, 0]
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Answer:
Check the explanation
Explanation:
An integer (int) is of two different bytes and each page has 200 bytes in length. What this means is that each row of array A (100 int) will fits perfectly in a page.
(a) For the initial or first array-initialization loop, one column is processed at a time, so a page fault will be generated at every inner loop iteration, with a total of 100*100=10,000 page faults.
(b) And when it comes to the second array-initialization loop, one row is processed at a time, and a page fault is generated at every outer loop iteration, with a total of 100 page faults.
Hence second array-initialization loop, has better spatial locality.
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