Build a simple app that involves displaying data that changes in realtime
Developer Database Oracle Interview Questions
710,966 developer database oracle interview questions shared by candidates
If I knew what the cross apply operator was
Phone Interview: The question was very open ended and related to Matrix (Basically, a form of Graph) Traversal, had to figure it out the exact requirements first and then come up with the sol. with the time constraints. P.S: I couldn't make it through the Phone Interview
Surprisingly the questions were found on the famous cracking the code interview. Like : find the lowest common ancestors of two nodes in a binary tree. (O(n) time). If each node has a pointer to parent, solve the problem in o(logn) time and o(1) space.
Third person: Given a 2-d array, write code to print it out in a snake pattern. For example, if the array is this: 1, 2, 3 4, 5, 6 7, 8, 9 the routine prints this: 1,2,3,6,9,8,7,4,5 The array is an NxN array. The final question was just how to write a connection pool (i.e, a class that returns connections to the user, and if the user is done, returns them back to the pool)
1. Given a preorder traversal, create a binary search tree in optimized time 2. Implement hasNext and next for a list of lists 3. Given a circle with N defined points and a point M outside the circle, find the point that is closest to M among the set of N. O(LogN) 4. Given two sets of intervals, return a combined set 5. Threading related questions
Finding a pair of elements from two sorted lists for which the sum of the elements is a certain value
Enumerate the following from 1 to 4, being 1 the fastest to execute and 4 the slowest: - read cpu register - disk seek - context switch - read from main memory
reverse a linked list in linear time, with constrained memory, no second container allowed.
You're writing an application that receives a stream of individual items of data. The stream may be very long or very short, but you have no way of knowing how long it is (i.e. there's no trick to figuring out the size of the stream of data). How would you go about choosing m items such that any subset of m items was equally likely? (Not an even distribution of values, but just that any m items are equally likely to be chosen). So for example, m=1000, and the number of items in the stream, n, may be 1000, or 10000, or 100000000, or much much larger; there is no way to know how many.
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