When I sat down for my Amazon interview, I thought -

First round hai kya hi puch lenge 💁‍♂️😁

They asked 𝐓𝐑𝐈𝐄 + 𝐁𝐚𝐜𝐤𝐭𝐫𝐚𝐜𝐤𝐢𝐧𝐠 + 𝐌𝐞𝐦𝐨𝐢𝐳𝐚𝐭𝐢𝐨𝐧 Que 😑😣

Socha kuch or 𝐒𝐡𝐞𝐞𝐭𝐚𝐥, nikla kuch or 😥

Prepare well and don't assume they will ask easy questions.

#meme #amazon #coding #dsa #maang #interview #programming

DSA Problem (2): 𝐑𝐨𝐚𝐭𝐞 𝐈𝐦𝐚𝐠𝐞

This is a very important question had been asked in all the company's interviews including #google #meta #amazon #microsoft.

In this article I have covered the following things:
✍️ Problem statements.
✍️ Discuss all the approaches.
✍️ Dry run with clean and proper diagrams.
✍️ Clean & smooth code of each approach.


Tags:
#arrays #matrix #dsa #algorithms #dsacoding #coding
#articles #loadbalancers #systemdesign #fang #mang #datastructuresandalgorithms #datastructures #algorithms #arrays #notes #interview #share #help #jobs #placement #college #softwareengineers #design

Most Asked Coding Question || MAANG

Best resources for those who are preparing for coding interviews and looking for some good resources and want to taste the level of questions got asked by top tech companies. Here I am sharing the top 25 most asked questions.


1) Two Sum - https://lnkd.in/dQ9-RjYS

2) Longest Substring Without Repeat - https://lnkd.in/d6qEHbbJ

3) Longest Common Prefix - https://lnkd.in/dxDSaJkM

4) Three Sum - https://lnkd.in/dK8q6qbu

5) Balanced Parentheses - https://lnkd.in/dvbKUe7y

6) Search Rotated Sorted Array - https://lnkd.in/djxEpFxF

7) Trapping Rain Water - https://lnkd.in/dsrAMHeP

8) Row Column Zero - https://lnkd.in/dhwCG-AY

9) Largest Rectangle in Histogram - https://lnkd.in/dQHQcF-5

10) Binary Tree Zigzag Level Order Traversal - https://lnkd.in/df7YeBJj

11) Populating Next Right Pointers in Each Node - https://lnkd.in/dFHh8FTy

12) Word Ladder - https://lnkd.in/dUDaTg_t

13) Palindrome Partitioning - https://lnkd.in/dga2EeBx

14) Clone List with Random Pointer - https://lnkd.in/d6YAzXRV

15) Word Break - II - https://lnkd.in/duEVGJg2

16) LRU Cache - https://lnkd.in/dMsV78ei

17) Sliding Window Maximum - https://lnkd.in/dDSTYAAj

18) Median From Data Stream - https://lnkd.in/dA8mCy-3

19) Longest Increasing Subsequence (LIS) - https://lnkd.in/da-47J_A

20) Super Egg Drops - https://lnkd.in/dAnSimGQ

21) Best Time to Buy and Sell Stock III - https://lnkd.in/dap__SJZ

22) Compare Version Numbers - https://lnkd.in/d_64P2Pf

23) Max Meetings in a Room - https://lnkd.in/deBDaA8p

24) Next Greater Element - https://lnkd.in/dUhU-SUb

25) Maximum k-Substring Vowels - https://lnkd.in/dT9KUJ4i


Content type - #interviewquestionsTags -
#interviews #leetcode #questions #array #sorting #queue #loop #tree #graphs #amazon #sde #interviewpreparation #coding #computerscience #softwareengineer #workforwin

𝐋𝐚𝐲𝐨𝐟𝐟𝐬 𝐜𝐨𝐦𝐢𝐧𝐠 𝐚𝐭 𝐚𝐧𝐨𝐭𝐡𝐞𝐫 𝐛𝐢𝐠 𝐭𝐞𝐜𝐡 𝐠𝐢𝐚𝐧𝐭🤔



After Meta, Amazon, Twitter, and Salesforce, Google’s parent company Alphabet Inc. is reportedly gearing up to fire about 10,000 “poor performing” employees, or 6% of its workforce.

Google will use a ranking system and the lowest-ranked employees are expected to be fired from the company.

Under this new performance management system, managers have been asked to categorize 6% of employees, or roughly 10,000 people, as low performers in terms of their impact on the business.

This new system also reportedly reduces the percentage of employees who can score a high rating.


How many layoffs will occur in 2022?

#layoffs #googlelayoff #employees #layoff2022 #google #alphabet #trendingnews #jobs #amazon

DSA Problem (03): 𝐒𝐮𝐛-𝐚𝐫𝐫𝐚𝐲 𝐒𝐮𝐦 𝐄𝐮𝐪𝐚𝐥𝐬 𝐭𝐨 𝐊

This is another important question that had been asked in all the company's interviews including:
#google #meta #amazon #microsoft.

In this article I have covered the following things:
✍️ Problem statements.
✍️ Discuss all the approaches.
✍️ Very neat & clean dry run with proper diagrams.
✍️ Clean & smooth code of each approaches.

I hope you'll like it. If you have any doubts or want to talk about this, please feel free to comment.

I have spent hours of my time preparing this one and I want to help as many people as I can. so kindly so show your support by sharing this with your connections.

Stay tuned for much more upcoming notes 📝

𝐏𝐒: Don't forget to checkout pinned comment 📍

Tags:
#arrays #matrix #dsa #algorithms #dsacoding #coding
#articles #loadbalancers #systemdesign #fang #mang #datastructuresandalgorithms #datastructures #algorithms #arrays #notes #interview #share #help #jobs #placement #college #softwareengineers #design

System Design Article (01): 𝐂𝐚𝐜𝐡𝐢𝐧𝐠

𝐂𝐚𝐜𝐡𝐢𝐧𝐠 is one of the very important building blocks of designing any rebust system. It has been has been asked in many big tech giant companies' system design rounds including: #google #meta #amazon #microsoft #netflix etc...

In this article, I have covered very neat & clean everything about caching like:
✍️ 𝐂𝐚𝐜𝐡𝐢𝐧𝐠 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧.
✍️ 𝐖𝐡𝐲 𝐰𝐞 𝐧𝐞𝐞𝐝 𝐜𝐚𝐜𝐡𝐢𝐧𝐠?
✍️ 𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐭𝐲𝐩𝐞𝐬 𝐨𝐟 𝐜𝐚𝐜𝐡𝐢𝐧𝐠 𝐭𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬.
✍️ 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬 / 𝐃𝐢𝐬𝐚𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬 𝐨𝐟 𝐞𝐚𝐜𝐡 𝐜𝐚𝐜𝐡𝐞 𝐭𝐲𝐩𝐞.

I hope you'll like it🤞 If you have any doubts or want to talk about this, please feel free to comment 💬

I have spent hours 🕑 preparing this article for you and want to help the maximum number of people. so kindly show your support by sharing this with your friends & connections 😊

Amazon || 𝐑𝐞𝐜𝐫𝐮𝐢𝐭𝐦𝐞𝐧𝐭 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 𝐅𝐨𝐫 𝐒𝐃𝐄 1🤩 
 
𝑴𝒖𝒔𝒕 𝑺𝒂𝒗𝒆 𝒂𝒏𝒅 𝑺𝒉𝒂𝒓𝒆 !!!!
 
 
It's every engineer's dream to get into top product-based companies, some of us called them FAANG or MAANG. Here I am sharing the journey you will go through the interview process from Amazon.


𝐂𝐓𝐂 𝐁𝐫𝐞𝐚𝐤𝐝𝐨𝐰𝐧 (Source : Internet) :

Base Salary : 19LPA
Bonus : 6.5 LPA(Y1) + 5 LPA (Y2)
RSU : 15.5 LPA
Total Compensation : 46 LPA 🤩

 
 
𝐑𝐞𝐜𝐫𝐮𝐢𝐭𝐦𝐞𝐧𝐭 𝐏𝐫𝐨𝐜𝐞𝐬𝐬:
Amazon conducts 4 rounds to select freshers as SDE (SDE-1) in their organization off campus. The following rounds are conducted:
- Online Coding Round
- 2 Technical Rounds
- Bar Raiser round


 
𝐎𝐧𝐥𝐢𝐧𝐞 𝐂𝐨𝐝𝐢𝐧𝐠 𝐑𝐨𝐮𝐧𝐝:
This round is hosted online and the candidates are presented with 2 coding questions, the questions are of intermediate difficulty, mainly from Arrays, strings, and matrices.
To clear this round, one should have a strong understanding of these data structures.
Time given is 70 minutes. 
 
 

𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐑𝐨𝐮𝐧𝐝 1:
Technical rounds are face-to-face algorithmic rounds in which candidates are presented with 2-4 questions, all from data structures. The most commonly asked DSs are the matrix, binary tree, BST, and Linked list.
 
 
 
𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐑𝐨𝐮𝐧𝐝 2:
The same as the previous round, however, the difficulty is increased and more questions from Trees, BST, and Tries are asked. One should have a clear knowledge of tree-based recursion, and the standard questions based on it are a must. 
 

 
𝐁𝐚𝐫 𝐑𝐚𝐢𝐬𝐞𝐫 𝐑𝐨𝐮𝐧𝐝:
Amazon has 16 leadership principles and questions are asked on those, and generally, these questions are asked in all the interview round and especially in Bar raiser round along with 1-2 DSA problems.



𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐏𝐨𝐢𝐧𝐭𝐬 𝐭𝐨 𝐫𝐞𝐦𝐞𝐦𝐛𝐞𝐫 :
 
- Never postpone your interview(That might lead to many gaps in dates because multiple candidates are giving interviews.)
 
- Take the Bar Raiser round seriously(Always prepare for leadership principle questions, It is the most important round of the process.)
 
 - Always focus on concepts(Never mug up the questions, always try to understand the questions.)
 
- Be confident about your answers(Never doubt yourself in the interview.)
 
- Always try explaining your approach before coding(It would be a better practice if you give a brute force approach.)
 
- Have a good understanding of time complexity(I was also asked TC of every question.) 
 
 
 
Follow for more.
 
Happy Learning !! 


 
Tags -
#interviews #leetcode #questions #array #sorting #queue #loop #tree #graphs #amazon #sde #interviewpreparation #coding #computerscience #softwareengineer #workforwin #intern #internship #amazonindia #learning #softwaredevelopement #opportunity #dsa #faang #interview #amazonian

🚀 7 Data Engineering Projects for FREE!

Don't Burst Your Head !!

👨🏻‍💻 Here are the 7 Projects that you can start this weekend


1. Building Data Model and Writing ETL Job - https://lnkd.in/dQSm-d_k

Data modeling is an essential part of Data Engineering, DO NOT SKIP THIS!!!

What will you learn?
✅ Python
✅ SQL
✅ Building Data Models
✅ Basics of DBMS
✅ Writing ETL Job
✅ Querying Data Programmatically
✅ PostgreSQL


2. ETL Pipeline on AWS Cloud - https://lnkd.in/d4iy9Dgd

If have no idea about Cloud Computing then this project is for you

What will you learn?
✅ Python
✅ SQL
✅ Cloud Computing Basics
✅ AWS Services - Athena, Glue, Redshift, S3, IAM
✅ Creating Data Pipeline

3. Covid Data Analysis Project - https://lnkd.in/d2u4tS3R

This will be your first end-to-end Data Engineering project on Covid-19 Data

What will you learn?
✅ Python
✅ SQL
✅ Building Data Model
✅ AWS Services - Athena, Glue, Redshift, S3, IAM
✅ Creating Data Pipeline
✅ PostgreSQL


4. YouTube Data Analysis (End-To-End Data Engineering Project) - https://lnkd.in/dS8FwupT

This is a 3-hour long project where you will execute a complete Data Engineering project

What will you learn?
✅ Python and PySpark
✅ SQL
✅ How to understand the business problem
✅ AWS Services - Athena, Glue, Redshift, S3, IAM, Lambda, Quicksight
✅ Building Data Pipeline and Scheduling it

5. Twitter Data Pipeline using Airflow - https://lnkd.in/dkwdmPnS

If you are someone who wants to learn the basics about Airflow and how to build a data pipeline this project is for you

What will you learn?
✅ Python
✅ Basics of Airflow
✅ Working with Twitter Data and Package - Tweepy
✅ Python Package - Pandas
✅ Writing ETL job and storing data on S3

6. Extract Data From Amazon Website - https://lnkd.in/dccEasSH

Learn how to extract data from one source and build a dataset from it.
What will you learn?
✅ HTML Basics
✅ Web Scraping fundamentals
✅ Python
✅ Packages (BeautifulSoup, Pandas, Numpy)
✅ How to build a CSV file

7. Stock Market Real-Time Data Analysis using Kafka, AWS, and Python - https://lnkd.in/dWSjqcFf

What will you learn?
✅ Build a Real-Time simulation app using Python
✅ Understand the basics of Kafka (Broker, Producer, Consumer, Zookeeper, and many more)
✅ How install Kafka on EC2 (or any VM)
✅ Write Producer and Consumer code in Python
✅ Generate a real-time streaming pipeline and store data in S3
✅ Analyze Data in Real-Time using Athena

Credit Darshil Parmar for this Amazing Post !! This Guy is Doing a Amazing Job for the DE Folks out there !!

Tagging W3Schools.com as well for these best Resources !!


Tagging Neel shah , Suraz G. , POOJA JAIN , Arif Alam , Ashish Patel 🇮🇳


#dataengineering #dataengineer #dataanalytics #bigdata #dataanalysis #datasciences #sql #server #datasciences #python #data #pandas #business #html #aws #project #building #amazon #covid #projects #cloud #cloudcomputing #writing #career #stockmarket #pipeline #streaming #comment