Tip 1: Consistent coding practice is crucial as it enables you to solve interview questions within the stipulated time. However, before diving into coding, it's essential to have a clear understanding of all data structures. This ensures that you can easily implement them when needed to solve a problem. Additionally, understanding the time and space complexities of algorithms is mandatory, as these factors are crucial in real interviews. Having good intuition and a solid problem-solving approach greatly aids in cracking interviews at top companies.
Tip 2: Employers do not judge you based on the number of internships or projects you've completed. A single high-quality project is sufficient, provided you have in-depth knowledge about it. What matters most is your efficiency as a learner, your problem-solving skills, and your confidence in your answers.
Tip 3: Practice solving questions topic-wise, participate in coding contests, and watch numerous YouTube solutions even after solving a question. Watching video solutions offers a clearer and deeper understanding of the logic, and you may discover more efficient approaches than your own. Additionally, praying hard alongside your preparation can bring positive outcomes.
Tip 1: Keep your resume short and clear. Mention your projects and internships with a brief description and the year of completion. Include the coding languages or other technical skills that you are proficient in. Avoid mentioning anything that you are not confident in. Highlight the topics that you excel in.
Tip 2: Be very honest and include only the things in your resume that you truly know. Anything extra or unknown may have a negative impact during your interview if asked about by the interviewer.



The same letter cell should not be used more than once.
For a given word “design” and the given 2D board
[[q’, ‘v’, ‘m’, ‘h’],
[‘d’, ‘e’, ‘s’, ‘i’],
[‘d’, ‘g’, ‘f’, ‘g’],
[‘e’, ‘c’, ‘p’, ‘n’]]
The word design can be formed by sequentially adjacent cells as shown by the highlighted color in the 2nd row and last column.

You are given a two-dimensional grid having 'N' rows and 'M' columns, consisting of upper case characters. You are also given a word 'WORD'. You have to find the number of occurrences of that word in the grid.
Starting from a given cell, a word can be formed by moving in all eight directions: horizontally left, horizontally right, vertically up, vertically down, and four diagonal directions.



The leaderboard scores are in descending order.
The game scores are given in ascending order.
Given a leaderboard of a game with the following ranking pattern:
The player with the highest score is ranked number 1 on the leaderboard.
Players who have equal scores receive the same ranking number, and the next player(s) receive the immediately following ranking number.
You are given game scores of a player of ‘M’ rounds. Your task is to return the position obtained in each round.



1) Constructor: It initializes the data members as required.
2) add(value): It inserts an element into the HashSet. The function takes one argument which is the value that needs to be added and returns nothing
3) contains(value): It checks whether the element exists in the HashSet or not. The function takes one argument which is the value that needs to be searched for in the HashSet. The function returns true if the element exists, otherwise returns false.
4) remove(value): It removes an element from the HashSet. The function takes one argument which is the value that needs to be removed from the HashSet and returns the element which is being removed. If the element does not exist in the HashSet or if HashSet is empty, return -1.
Query-1 (Denoted by an integer 1)- Inserts an element in the HashSet
Query-2 (Denoted by an integer 2)- Returns a boolean value denoting whether the element is present in the HashSet or not.
Query-3 (Denoted by an integer 3)- Removes the element from the HashSet.
Design a HashSet without using any built-in hash table libraries.
Implement the following public function



1. A binary tree is a tree in which each node has at most two children.
2. The given tree will be non-empty.
3. The given tree can have multiple nodes with the same value.
4. If there are no nodes in the tree which are at distance = K from the given node, return an empty list.
5. You can return the list of values of valid nodes in any order. For example if the valid nodes have values 1,2,3, then you can return {1,2,3} or {3,1,2} etc.

Consider this tree above. The target node is 5 and K = 3. The nodes at distance 1 from node 5 are {2}, nodes at distance 2 from node 5 are {1, 4} and nodes at distance 3 from node 5 are {6, 3}.
You are given an arbitrary binary tree, a node of the tree, and an integer 'K'. You need to find all such nodes which have a distance K from the given node and return the list of these nodes.
Distance between two nodes in a binary tree is defined as the number of connections/edges in the path between the two nodes.

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?