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Netflix SDE Sheet: Interview Questions and Answers

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  • Difficulty Level :Hard
  • Last Updated :30 Aug, 2022
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Netflix, the top video streaming service in the world was founded in 1997 and started out by shipping DVDs to customers by mail. Now it consumes more than 15 percent of the world’s internet bandwidth and has subscribers in more than 190 countries. This sheet will assist you to land a job at Netflix, we have compiled all the interview questions and answers.

Netflix SDE Sheet

The hiring process of Netflix is unique. It hires for teams so each interview process is different. What’s unique:

  • They generally don’t hire new graduates or interns. They tend to hire those who have at least 3 years of experience.
  • Culture fit: It is an important aspect of the interview. They have an entire document dedicated to their culture and values. If you want a job at Netflix you must thoroughly go through it.
  • The on-site is split into two sections. 50% technical and 50% behavioral. You will be sent home if you don’t perform well in the first half.

Following is the hiring process:

  • Prescreen with a recruiter: Your initial phone screen will be around 30 minutes when the recruiter will dig into your resume and ask questions about your past projects and cultural fit.
  • Phone call interview: It will be a 45-60 minute phone call with the hiring or engineering manager. It will involve some more open-ended technical questions, technology-specific questions, as well as a shared editor exercise where you’ll have to solve a coding challenge.
  • On-site interview Part 1: It will be more technical with a mix of cultural questions where you’ll meet with peers and members of the team. It will involve 4 interviews of 45 min mostly 1:1 or 2:1. It will have technical questions, whiteboarding exercises, and cultural fit questions.
  • On-site interview Part 2: It will have around three interviews at about 45 minutes each. One with HR, one with the hiring manager (who makes the decision), and one with the engineering manager. First, two will mostly have behavioral questions. The engineering manager round will be more technical, mostly open-ended questions about things on your resume, and Netflix-specific questions.

Netflix SDE Roadmap

 

Why this sheet?

This sheet is a collection of all popular and important coding questions that have been asked in the Netflix technical interviews so far. Questions here are grouped topic-wise based on the DSA category they fall into. It covers mostly all important DSA topics that are given emphasis in Netflix interviews.

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Phone Screenings

Behavioral Skills
Many people are very afraid of behavioral interview questions in technical interviews as they seem to be just something most programmers are not good at.

Unlike technical questions, which are very standard and usually have clear answers, behavioral interview questions are much more flexible and sometimes may make candidates quite uncomfortable. We have tips for Prepare Behavioural Interview Questions

Technical Phone Screening
Even though telephonic interviews have many benefits, including the flexibility to attend from anywhere and the ability to go back to notes, there are still some complexity and problems that are part of them, so you must be ready for them if you want to be approved for final selection.

We have prepared tips to crack a telephonic Interview.

On-site Interviews

Array: An array is a collection of items stored at contiguous memory locations. The idea is to store multiple items of the same type together.

ProblemsPractice
Find a triplet that sums to a given valueSolve
Boolean MatrixSolve
Maximum subset XORSolve
Number of subsets with product less than kSolve
Given a number, find the next smallest palindromeSolve
Arrange given numbers to form the biggest numberSolve
Nuts & Bolts ProblemSolve
Maximize elements using another arraySolve
Capacity To Ship Packages Within D DaysSolve
Longest Arithmetic ProgressionSolve
Construct a List using the given Q XOR queriesSolve
Find the row with the maximum number of 1sSolve
Find top k (or most frequent) numbers in a streamSolve
Find duplicates in O(n) time and O(1) extra spaceSolve

Strings: Strings are defined as an array of characters. The difference between a character array and a string is the string is terminated with a special character ‘\0’.

ProblemsPractice
Given a string, print all possible palindromic partitionsSolve
Find all distinct palindromic sub-strings of a given stringSolve
Longest substring whose characters can be rearranged to form a PalindromeSolve
How to design a tiny URL or URL shortener?Solve
Longest repeating and non-overlapping substringSolve
Length of the longest valid substringSolve
Find a pair with the given differenceSolve
Find the Largest number with a given number of digits and the sum of digitsSolve
Find Excel column name from a given column numberSolve
Count words that appear exactly two times in an array of wordsSolve

Linked List: A linked list is a linear data structure, in which the elements are not stored at contiguous memory locations.

ProblemsPractice
Convert a given Binary Tree to a Doubly Linked ListSolve
Clone a linked list with the next and random pointerSolve
Rearrange a given linked list in-placeSolve
Flatten a binary tree into a linked listSolve
Reverse a sublist of the linked listSolve
Extract Leaves of a Binary Tree in a Doubly Linked ListSolve
QuickSort on Singly Linked ListSolve
Insertion Sort for Singly Linked ListSolve
Remove all occurrences of duplicates from a sorted Linked ListSolve
Detect and Remove Loop in a Linked ListSolve
Intersection Point in Y-Shaped Linked ListsSolve

Stack and Queue:

  • Stack: A stack is a linear data structure in which elements can be inserted and deleted only from one side of the list, called the top. A stack follows the LIFO (Last In First Out) principle.
  • Queue: A queue is a linear data structure in which elements can be inserted only from one side of the list called the rear, and the elements can be deleted only from the other side called the front. The queue data structure follows the FIFO (First In First Out) principle.
ProblemsPractice
Find a maximum or minimum for every window size in a given arraySolve
Length of the longest valid substringSolve
Celebrity ProblemSolve
Next Greater ElementSolve
Implement Stack using QueuesSolve
Stock Span ProblemSolve
Maximum size rectangle binary sub-matrix with all 1sSolve
Circular tourSolve
Implement two stacks in an arraySolve
Sort a stack using recursionSolve

Searching: Searching Algorithms are designed to check for an element or retrieve an element from any data structure where it is stored.

ProblemsPractice
Allocate a minimum number of pagesSolve
Median of two sorted arrays of different sizesSolve
painter’s partition problemSolve
Minimum Number of Platforms Required for a Railway/Bus StationSolve
The square root of an integerSolve
Sort an array according to the order defined by another arraySolve
Find the element that appears onceSolve
Find the farthest smaller number on the right sideSolve
Distribute N candies among K peopleSolve
Two elements whose sum is closest to zeroSolve

Sorting: The sorting Algorithm is used to rearrange a given array or list of elements according to a comparison operator on the elements.

ProblemsPractice
Merge two sorted arrays with O(1) extra spaceSolve
Find a triplet that sums to a given valueSolve
Minimum number of swaps required to sort an arraySolve
QuickSortSolve
The floor in a Sorted ArraySolve
Chocolate Distribution ProblemSolve
k largest(or smallest) elements in an arraySolve
Sort an array according to the order defined by another arraySolve
Overlapping IntervalsSolve
Minimum sprinklers required to be turned on to water the plantsSolve

Hash and Heap:

  • Hash: Hashing is a popular technique for storing and retrieving data as fast as possible.

  • Heap: Heap is a special case of balanced binary tree data structure where the root-node key is compared with its children and arranged accordingly

ProblemsPractice
Find four elements that sum to a given valueSolve
Find the first non-repeating character from a stream of charactersSolve
Given a sequence of words, print all anagrams togetherSolve
Number of subarrays having a sum exactly equal to kSolve
Count pairs with a given sumSolve
Check if two strings are k-anagrams or notSolve
Second most repeated word in a sequenceSolve
Heap SortSolve
Largest subarray with an equal number of 0s and 1sSolve
Find a triplet in an array whose sum is closest to a given numberSolve

Trees: A tree is non-linear and a hierarchical data structure consisting of a collection of nodes such that each node of the tree stores a value, a list of references to nodes (the “children”).

ProblemsPractice
Convert a Binary Tree to a Circular Doubly Link ListSolve
Lowest Common Ancestor in a Binary TreeSolve
A program to check if a binary tree is BST or notSolve
Print level order traversal line by lineSolve
The maximum difference between a node and its ancestor in Binary TreeSolve
Symmetric TreeSolve
Inorder to Successor in Binary Search TreeSolve
Print BST elements in a given rangeSolve
Level Order Binary Tree TraversalSolve
Convert a Binary Tree to a Circular Doubly Link ListSolve
Convert a given Binary Tree to a Doubly Linked ListSolve
Burn the binary tree starting from the target nodeSolve
AVL TreeSolve
Distribute candies in a Binary TreeSolve
Print a Binary Tree in Vertical OrderSolve

Graph: A Graph is a non-linear data structure consisting of nodes and edges. The nodes are sometimes also referred to as vertices and the edges are lines or arcs that connect any two nodes in the graph.

ProblemsPractice
Strongly Connected Components (Kosaraju’s Algo)Solve
Prerequisite TasksSolve
Distance from the Source (Bellman-Ford Algorithm)Solve
Word Boggle – IISolve
Check whether a given graph is Bipartite or notSolve
Find the number of islandsSolve
Topological sortSolve
Boggle (Find all possible words in a board of characters)Solve
Program to cyclically rotate an array by oneSolve
Flood fill Algorithm – how to implement fill() in paint?Solve
The shortest path to reach one prime to another by changing a single digit at a timeSolve

Dynamic Programming: Dynamic Programming is mainly an optimization over plain recursion. Wherever we see a recursive solution that has repeated calls for the same inputs, we can optimize it using Dynamic Programming.

ProblemsPractice
Count All Palindrome Sub-Strings in a StringSolve
Count ways to reach the n’th stairSolve
Burst Balloon to maximize coinsSolve
Maximum size rectangle binary sub-matrix with all 1sSolve
Maximum Sum Increasing SubsequenceSolve
Count the number of ways to cover a distanceSolve
Word Break ProblemSolve
Knapsack with Duplicate ItemsSolve
Coin ChangeSolve
Subset Sum ProblemSolve
Longest Increasing SubsequenceSolve
Find if a string is interleaved with two other stringsSolve
Minimum number of jumps to reach the endSolve
Count Possible Decodings of a given Digit SequenceSolve

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