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Netflix SDE Sheet: Interview Questions and Answers

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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.

Articles Practice
Find a triplet that sums to a given value Solve
Boolean Matrix Solve
Maximum subset XOR Solve
Number of subsets with product less than k Solve
Given a number, find the next smallest palindrome Solve
Arrange given numbers to form the biggest number Solve
Nuts & Bolts Problem Solve
Maximize elements using another array Solve
Capacity To Ship Packages Within D Days Solve
Longest Arithmetic Progression Solve
Construct a List using the given Q XOR queries Solve
Find the row with the maximum number of 1s Solve
Find top k (or most frequent) numbers in a stream Solve
Find duplicates in O(n) time and O(1) extra space Solve

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’.

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

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

Articles Practice
Convert a given Binary Tree to a Doubly Linked List Solve
Clone a linked list with the next and random pointer Solve
Rearrange a given linked list in-place Solve
Flatten a binary tree into a linked list Solve
Reverse a sublist of the linked list Solve
Extract Leaves of a Binary Tree in a Doubly Linked List Solve
QuickSort on Singly Linked List Solve
Insertion Sort for Singly Linked List Solve
Remove all occurrences of duplicates from a sorted Linked List Solve
Detect and Remove Loop in a Linked List Solve
Intersection Point in Y-Shaped Linked Lists Solve

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.
Articles Practice
Find a maximum or minimum for every window size in a given array Solve
Length of the longest valid substring Solve
Celebrity Problem Solve
Next Greater Element Solve
Implement Stack using Queues Solve
Stock Span Problem Solve
Maximum size rectangle binary sub-matrix with all 1s Solve
Circular tour Solve
Implement two stacks in an array Solve
Sort a stack using recursion Solve

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

Articles Practice
Allocate a minimum number of pages Solve
Median of two sorted arrays of different sizes Solve
painter’s partition problem Solve
Minimum Number of Platforms Required for a Railway/Bus Station Solve
The square root of an integer Solve
Sort an array according to the order defined by another array Solve
Find the element that appears once Solve
Find the farthest smaller number on the right side Solve
Distribute N candies among K people Solve
Two elements whose sum is closest to zero Solve

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

Articles Practice
Merge two sorted arrays with O(1) extra space Solve
Find a triplet that sums to a given value Solve
Minimum number of swaps required to sort an array Solve
QuickSort Solve
The floor in a Sorted Array Solve
Chocolate Distribution Problem Solve
k largest(or smallest) elements in an array Solve
Sort an array according to the order defined by another array Solve
Overlapping Intervals Solve
Minimum sprinklers required to be turned on to water the plants Solve

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

Articles Practice
Find four elements that sum to a given value Solve
Find the first non-repeating character from a stream of characters Solve
Given a sequence of words, print all anagrams together Solve
Number of subarrays having a sum exactly equal to k Solve
Count pairs with a given sum Solve
Check if two strings are k-anagrams or not Solve
Second most repeated word in a sequence Solve
Heap Sort Solve
Largest subarray with an equal number of 0s and 1s Solve
Find a triplet in an array whose sum is closest to a given number Solve

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”).

Articles Practice
Convert a Binary Tree to a Circular Doubly Link List Solve
Lowest Common Ancestor in a Binary Tree Solve
A program to check if a binary tree is BST or not Solve
Print level order traversal line by line Solve
The maximum difference between a node and its ancestor in Binary Tree Solve
Symmetric Tree Solve
Inorder to Successor in Binary Search Tree Solve
Print BST elements in a given range Solve
Level Order Binary Tree Traversal Solve
Convert a Binary Tree to a Circular Doubly Link List Solve
Convert a given Binary Tree to a Doubly Linked List Solve
Burn the binary tree starting from the target node Solve
AVL Tree Solve
Distribute candies in a Binary Tree Solve
Print a Binary Tree in Vertical Order Solve

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.

Articles Practice
Strongly Connected Components (Kosaraju’s Algo) Solve
Prerequisite Tasks Solve
Distance from the Source (Bellman-Ford Algorithm) Solve
Word Boggle – II Solve
Check whether a given graph is Bipartite or not Solve
Find the number of islands Solve
Topological sort Solve
Boggle (Find all possible words in a board of characters) Solve
Program to cyclically rotate an array by one Solve
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 time Solve

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.

Articles Practice
Count All Palindrome Sub-Strings in a String Solve
Count ways to reach the n’th stair Solve
Burst Balloon to maximize coins Solve
Maximum size rectangle binary sub-matrix with all 1s Solve
Maximum Sum Increasing Subsequence Solve
Count the number of ways to cover a distance Solve
Word Break Problem Solve
Knapsack with Duplicate Items Solve
Coin Change Solve
Subset Sum Problem Solve
Longest Increasing Subsequence Solve
Find if a string is interleaved with two other strings Solve
Minimum number of jumps to reach the end Solve
Count Possible Decodings of a given Digit Sequence Solve


Last Updated : 09 Feb, 2024
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