Bloomberg LP Interview Question for Financial Software Developers


Country: United States
Interview Type: Phone Interview




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3
of 5 vote

If efficiency is determined in terms of time complexity of insertion/deletion/search, a hash table mapping name (key) to phone number (value) will provide O(1) lookup, addition and deletion, should be most efficient.

This will hold true, unless the number of name-phone number entries are exorbitantly large, leading to hash collisions.

- Sharma February 13, 2012 | Flag Reply
Comment hidden because of low score. Click to expand.
2
of 6 vote

Trie
Probably this was the answer the interviewer was looking for.

Full details here: //en.wikipedia.org/wiki/Trie

- Shekar Gurram February 13, 2012 | Flag Reply
Comment hidden because of low score. Click to expand.
1
of 1 vote

how a hash table mapping name (key) to phone number (value) will provide O(1) lookup?
looking for key (name) in hashmap will itself take O(n) time?

- Anonymous February 13, 2012 | Flag Reply
Comment hidden because of low score. Click to expand.
0
of 0 votes

In HashMap you use Hash of the name to look for. It is O(1)

- xyz May 22, 2012 | Flag
Comment hidden because of low score. Click to expand.
1
of 1 vote

Search for what? Name? Full name or partial match? What is considered a partial match (e.g. firstname/lastname split)?

Or search for the phone number (the name having a phone number)? Or just part of the phone number - number matching?

- Selmeczy, Péter February 13, 2012 | Flag Reply
Comment hidden because of low score. Click to expand.
1
of 1 vote

HashMap<String, String>
String1 - name
String2 - phone number
O(1)

- Kevin February 06, 2013 | Flag Reply
Comment hidden because of low score. Click to expand.
0
of 0 vote

If we have non collide hash function thne hash table is perfect chioce.
otherwise balanched binary search three would be good choice as data strcuture

- Bond January 26, 2013 | Flag Reply
Comment hidden because of low score. Click to expand.
-1
of 1 vote

Dictionary<string,long>

- Anonymous February 25, 2012 | Flag Reply


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