Скачать или смотреть Most Asked Linked List Interview Q. @ Facebook, amazon, google, microsoft | Merge K Sorted Lists: 23

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This is the most asked Linked List problem at top FAANG companies.

Solve this beautiful Leetcode hard, Linked List problem that has been asked in hundreds of technical interviews at companies like Google, Facebook, Meta, Bloomberg, Amazon, Microsoft, uber, ebay.

Problem: Merge K Sorted Lists - Leetcode 23

Linked List is one of the most versatile data-structures, that can be used in so many different ways. Here are few of Linked List applications.
Implementation of Stack and Queues
Graph Implementation
Dynamic Memory Allocation
Directory Maintainance
Performing Arithmetic Operations on Long Integers
Polynomial Manipulation
Represent Sparse Matrix


Leetcode link: https://leetcode.com/problems/merge-k...
Leetcode Problem: 23


Not stopping till we get employed in FAANG.

This Problem was recently asked in following companies in Technical Coding Interview:

Facebook interview,
Amazon interview,
Microsoft interview,
Google interview,
Apple interview,
ByteDance interview,
Adobe interview,
VMware interview,
Indeed interview,
LinkedIn interview,
Bloomberg interview,
Oracle interview,
Yandex interview,
Walmart Global Tech interview,
Shopee interview,
tiktok interview,
Sprinklr interview,
TuSimple interview,
Uber interview,
eBay interview,
Qualtrics interview,
Zillow interview,
Cruise Automation interview,
Nvidia interview,
Databricks interview,
Goldman Sachs interview,
Lyft interview,
Twitter interview,
Yahoo interview,
Wish interview,
Palantir Technologies interview,
Tesla interview,
Cohesity interview,
SAP interview,
Flipkart interview,
Roblox interview,
Pinterest interview,
Airbnb interview,

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(Contact me if you want to sponsor your product):
Email: [email protected]

List of Most Important Questions and Solutions:
https://docs.google.com/spreadsheets/...

GitHub Repository for Questions solved so far:
https://github.com/DestinationFAANG/D...

(Support the channel, if videos helps you in any manner... Give me a Coffee)
Patreon:   / destination_faang  

About me and My Purpose:

I am a software engineer with 5+ years of experience @ Non-FAANG company. I have always been bad at coding and really bad at programming interviews. So, once I got employed in IT industry, I only worked on operational activities (just so I can avoid coding).

But deep down I always wanted to work at an Elite IT company. So, I decided to face my fears, and to master coding & technical Interviews. I started with LeetCoding 1 problem a day. But I was facing issues with consistency, I would solve LC problems for week, and then drop it for 2-3 weeks. This lasted till 6 months.

And upon deeper investigation I found that I was not committed enough. Then suddenly my wife gave me an idea, that rather then focusing on solving a LC problem for my-self, why don't I commit to make videos on solving the LC problems. And try to complete at-least one video every alternate day. Hence, I started this channel.

My ultimate aim is to get into FAANG company, and also create a channel in such a way that anyone wants to get into FAANG, if they just follow my channel, they should be able to clear all the FAANG Technical Interviews.

Here are few more reasons on why I started the channel.

1) To have a motive for me to solve leetcode problems.
2) In order to solve a LC problem, first I have to really understand the problem and explain my thought process, which solidifies my concepts.
3) I can document my progress. Also learn a new skill on how to run a YT channel.
4) My work can help other software engineers.
5) I can have something cool to mention in my linked-in and resume.
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Here is a list of my dream Companies:

FAANG,
Meta,
Facebook,
Google,
Amazon,
Netflix,
Microsoft,
apple,
doordash,
roblox,
stripe,
instacart,
uber,
lyft,
twitter,
linked In,
pinetrest,
bloomberg,
robinhood,
Goldman Sachs,
box,
two sigma,
byte dance,
tik tok,
air bnb,
nuro,
ui path,
oracle,
twitch,
data bricks,
waymo,
dropbox,
coinbase,
snowflake,
snap,
nvdia,
broadcom,
slack,
intel,
cisco,
indeed,
salesforce,
reddit,
wayfair,
okta,
splunk,
service now,
coursera,
square,
upgrade,
mozilla,
yelp,
unity,
ebay,
affirm,
stach adapt,
amplitude,
github,
wish,
brex,
etsy,
chime,
shopify,
amd,
GoDaddy,
IBM

Introduction: 00:00
Understanding the Problem Statement: 00:39
Brute Force: 02:00
Second Approach: 03:40
Optimal Solution: 06:27
Coding: 09:42