Help needed in Wipro Oncampus problem

Given a string S and Q queries. Each query contains two integers M and P. The task is to find count number of strings of length M that occur exactly P times as substrings in S.

In the on-campus test, the constraints were S.length()<=10^3, so I wrote a code, preprocessing each substring using a map in O(N^2) and answered each query in O(1) and it passed.

Does it have some more optimal approach of O(N) or O(N*logN) if S.length()<=10^5 ?
Since it was on-campus drive, I don’t have a link to the problem statement.

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Hi, can you share all the constraits (with the time and space limits)?

Also, with a suffix tree you can have a preprocessing in O(NlogN) and each query answered in O(NlognN).
O(QNLogN) at the end.

Hi. The constraints were as follows.
S.length()<=10^3
Time limit per test - 1 second

Also, can you please elaborate on the preprocessing using suffix trees and suggest some resources too on the topic if possible.
Thanks.

But i think again it is not optimal , if Q = 105 then TLE , we have to something else , @carre @tamo11 @ssjgz @everule1 also help me in thiss .

But remember that using a map for string is more than O(N^2), even more than O(N^2logN), bc there is a comparison between substrings

but with a suffix tree, it can run exactly in O(N^2) for preprocessing + O(1) per query (just saying, ik that is not optimal, for the new constraits)