Tip 1 : Work on Competitive Programming skills. That is one thing most companies look out for during hiring. Solve at least 100
questions from every topic.
Tip 2 : You should have at least 2 good projects on your resume. Only write the things that you are completely sure of.
Tip 3 : Work on CS fundamentals as well like -OOPS, OS, and DBMS. There will be MCQ questions from this in the coding round as well as in the 1:1 round
Tip 1 : Need at least 2 good projects on the resume. Write a short 2-3 lines summary of the project and the tech stack
used.
Tip 2 : Resume should be 1 page only. Try to keep the Resume short with useful information only.
Tip 3 : Your Resume should clearly mention the skillset you have. Companies sometimes filter out Resume based on
skillset only



Height of a tree is the maximum number of nodes in a path from the node to the leaf node.
An empty tree is a height-balanced tree. A non-empty binary tree is a height-balanced binary tree if
1. The left subtree of a binary tree is already the height-balanced tree.
2. The right subtree of a binary tree is also the height-balanced tree.
3. The difference between heights of left subtree and right subtree must not more than ‘1’.
Input: Consider the binary tree given below:

Output: 'true'
Explanation:
Consider subtree at Node ( 7 )
Left subtree height is ‘0’ and right subtree height is ‘0’, the absolute height difference is ‘0-0 = 0’ and ‘0’ is not more than ‘1’ so subtree at Node ( 7 ) is a height-balanced binary tree.
Same for subtrees at Nodes ( 5, 6 ).
Consider subtree at Node ( 4 )
Left subtree height is ‘1’ and right subtree height is ‘0’, the absolute height difference is ‘1-0 = 1’ and ‘1’ is not more than ‘1’ so subtree at Node ( 4 ) is a height-balanced binary tree.
Same for subtree at Node ( 3)
Consider subtree at Node ( 2 )
Left subtree height is ‘2’ and right subtree height is ‘1’, the absolute height difference is ‘2-1 = 1’ and ‘1’ is not more than ‘1’ so subtree at Node ( 2 ) is a height-balanced binary tree.
Consider subtree at Node ( 1 )
Left subtree height is ‘3’ and right subtree height is ‘2’, the absolute height difference is ‘3-2 = 1’ and ‘1’ is not more than ‘1’ so subtree at Node ( 1 ) is a height-balanced binary tree.
Because the root node ( 1 ) is a height-balanced binary tree, so the complete tree is height-balanced.
get the height of the left and right subtrees. Return true if the difference between heights is not more than 1 and left and right subtrees are balanced, otherwise return false.



You do not need to print anything, just return the head of the reversed linked list.
// Before changing next of current,
// store next node
next = curr->next
// Now change next of current
// This is where actual reversing happens
curr->next = prev
// Move prev and curr one step forward
prev = curr
curr = next
Design E-Commerce Website
Tip 1: Practice HLD and LLD on some commonly asked designs
Tip 2: You should know about basics like Caching, CAP Theorem

Here's your problem of the day
Solving this problem will increase your chance to get selected in this company
What is recursion?