Tip 1 : Focus on your problem solving skills
Tip 2 : Learn data structures well
Tip 3 : Be excellent in any of one language (covering oops)
Tip 1 : Be honest with your resume
Tip 2 : Do not try to fill resume blindly. Value of resume = skills you have.
The timing was at early morning around 11 for this round and since I gave test online so environment was pretty good. Since in this round we were having all types of questions related to aptitude,coding, core subject mcqs.



We had given a number and a series where we need to print that series followed by the no of lines given i.e n value. We need to cover all test cases in it.
Tip 1 : Practise questions
Tip 2 : Do practice series
Tip 3 : Focuses on your logical thinking



‘ARR1’ = [3 6 9 0 0]
‘ARR2’ = [4 10]
After merging the ‘ARR1’ and ‘ARR2’ in ‘ARR1’.
‘ARR1’ = [3 4 6 9 10]
1. Create an array arr3[] of size n1 + n2.
Simultaneously traverse arr1[] and arr2[].
2. Pick smaller of current elements in arr1[] and arr2[], copy this smaller element to next position in arr3[] and move ahead in arr3[] and the array whose element is picked.
3. If there are remaining elements in arr1[] or arr2[], copy them also in arr3[].
In this round they asked me questions related to OOPS, DBMS, OS . Basically they wanted to know that how good I am in theory concepts.



A binary search tree is a binary tree data structure, with the following properties :
a. The left subtree of any node contains nodes with a value less than the node’s value.
b. The right subtree of any node contains nodes with a value equal to or greater than the node’s value.
c. Right, and left subtrees are also binary search trees.
It is guaranteed that,
d. All nodes in the given tree are distinct positive integers.
e. The given BST does not contain any node with a given integer value.


A new key is always inserted at the leaf. We start searching a key from the root until we hit a leaf node. Once a leaf node is found, the new node is added as a child of the leaf node.
1. Start from the root.
2. Compare the inserting element with root, if less than root, then recursively call left subtree, else recursively call right subtree.
3. After reaching the end, just insert that node at left(if less than current) else right.
HR round was basic round they asked about the introduction, family background, company environment, basic he questions
Tip 1 : Be confident
Tip 2 : Honest
Tip 3 : Be happy at that time

Here's your problem of the day
Solving this problem will increase your chance to get selected in this company
How do you remove whitespace from the start of a string?