Tata Communications Interview Questions and Answers

Yes, the 0/1 Knapsack problem can be solved using dynamic programming with a space complexity of not more than O(W).

• Use a 1D array to store the maximum value that can be stolen for each weight from 0 to W.

• Iterate through each item and update the array based on whether including the item would increase the total value.

• The final value in the array at index W will be the maximum value that can be stolen.

The task is to print the right view of a binary tree, representing nodes visible from the right side in top-to-bottom order.

• Traverse the tree level by level and keep track of the rightmost node at each level

• Print the rightmost node of each level to get the right view of the tree

• Use a queue for level order traversal and a map to store the rightmost nodes

Find the maximum sum of the path from the root to any leaf node in an n-ary tree.

• Traverse the tree from root to leaf nodes while keeping track of the sum of each path.

• At each node, calculate the sum of the path from the root to that node and update the maximum sum found so far.

• Consider using depth-first search (DFS) or breadth-first search (BFS) for tree traversal.

• Handle cases where nodes have negative values or where the tree is unbalanced.

You can find the size of an array in C or C++ by dividing the total size of the array by the size of one element.

• Calculate the total size of the array by multiplying the number of elements by the size of each element.

• Divide the total size by the size of one element to get the size of the array.

• For example, if you have an array of strings arr[] = {'hello', 'world', 'example'}, you can find the size by dividing the total size of the array by the size of one string.

B+ trees are used for indexing in databases to efficiently search and retrieve data.

• B+ trees are balanced trees where each node can have multiple keys and child pointers.

• Data is stored in leaf nodes, while non-leaf nodes are used for navigation.

• B+ trees are commonly used in databases because of their ability to efficiently search and retrieve data.

• Example: In a database table with an index on a specific column, B+ trees can be used to quickly locate the rows that match a cert...read more