Netflix Interview Questions
Curated technical problems, DSA questions & coding interview rounds
Target Role
Software Engineer (SDE I / II)
Problem Count
38+ Verified
Assessment Type
DSA & System Design
Preparation Mode
Live AI Interactive
Merge Intervals
MEDIUM
49% Acceptance100% Frequency
Array
Sorting
Logger Rate Limiter
EASY
77% Acceptance89% Frequency
Hash Table
Design
Data Stream
Meeting Rooms II
MEDIUM
52% Acceptance88% Frequency
Array
Two Pointers
Greedy
Sorting
Heap (Priority Queue)
+1 moreFirst Missing Positive
HARD
41% Acceptance88% Frequency
Array
Hash Table
Reconstruct Itinerary
HARD
44% Acceptance86% Frequency
Depth-First Search
Graph
Eulerian Circuit
Random Pick with Weight
MEDIUM
48% Acceptance81% Frequency
Array
Math
Binary Search
Prefix Sum
Randomized
Time Based Key-Value Store
MEDIUM
49% Acceptance76% Frequency
Hash Table
String
Binary Search
Design
Flatten Nested List Iterator
MEDIUM
65% Acceptance76% Frequency
Stack
Tree
Depth-First Search
Design
Queue
+1 moreLRU Cache
MEDIUM
45% Acceptance72% Frequency
Hash Table
Linked List
Design
Doubly-Linked List
Top K Frequent Elements
MEDIUM
65% Acceptance72% Frequency
Array
Hash Table
Divide and Conquer
Sorting
Heap (Priority Queue)
+3 moreSummary Ranges
EASY
53% Acceptance72% Frequency
Array
Cache With Time Limit
MEDIUM
76% Acceptance68% Frequency
Data Structures
Algorithms
Contains Duplicate II
EASY
49% Acceptance64% Frequency
Array
Hash Table
Sliding Window
Longest Substring Without Repeating Characters
MEDIUM
37% Acceptance64% Frequency
Hash Table
String
Sliding Window
Contains Duplicate III
HARD
24% Acceptance64% Frequency
Array
Sliding Window
Sorting
Bucket Sort
Ordered Set
Top K Frequent Words
MEDIUM
59% Acceptance57% Frequency
Array
Hash Table
String
Trie
Sorting
+3 moreContains Duplicate
EASY
63% Acceptance57% Frequency
Array
Hash Table
Sorting
Koko Eating Bananas
MEDIUM
49% Acceptance57% Frequency
Array
Binary Search
Word Search
MEDIUM
45% Acceptance57% Frequency
Array
String
Backtracking
Depth-First Search
Matrix
Daily Temperatures
MEDIUM
67% Acceptance57% Frequency
Array
Stack
Monotonic Stack
Best Time to Buy and Sell Stock
EASY
55% Acceptance57% Frequency
Array
Dynamic Programming
Valid Parentheses
EASY
42% Acceptance57% Frequency
String
Stack
Insert Delete GetRandom O(1)
MEDIUM
55% Acceptance57% Frequency
Array
Hash Table
Math
Design
Randomized
Search in Rotated Sorted Array
MEDIUM
43% Acceptance57% Frequency
Array
Binary Search
Course Schedule II
MEDIUM
53% Acceptance57% Frequency
Depth-First Search
Breadth-First Search
Graph
Topological Sort
Text Justification
HARD
48% Acceptance48% Frequency
Array
String
Simulation
Spiral Matrix
MEDIUM
54% Acceptance48% Frequency
Array
Matrix
Simulation
Merge Sorted Array
EASY
53% Acceptance48% Frequency
Array
Two Pointers
Sorting
Number of Flowers in Full Bloom
HARD
57% Acceptance48% Frequency
Array
Hash Table
Binary Search
Sorting
Prefix Sum
+1 moreRotate Image
MEDIUM
78% Acceptance48% Frequency
Array
Math
Matrix
Coin Change
MEDIUM
46% Acceptance48% Frequency
Array
Dynamic Programming
Breadth-First Search
Word Break
MEDIUM
48% Acceptance48% Frequency
Array
Hash Table
String
Dynamic Programming
Trie
+1 moreGenerate Parentheses
MEDIUM
77% Acceptance48% Frequency
String
Dynamic Programming
Backtracking
Rotate Array
MEDIUM
43% Acceptance48% Frequency
Array
Math
Two Pointers
Network Delay Time
MEDIUM
57% Acceptance48% Frequency
Depth-First Search
Breadth-First Search
Graph
Heap (Priority Queue)
Shortest Path
Minimum Remove to Make Valid Parentheses
MEDIUM
71% Acceptance48% Frequency
String
Stack
To Be Or Not To Be
EASY
63% Acceptance48% Frequency
Data Structures
Algorithms
Implement Queue using Stacks
EASY
68% Acceptance48% Frequency
Stack
Design
Queue
How to Prepare for Netflix Technical Interviews
1. Master High Frequency DSA
Review the top questions asked in Netflix coding rounds over the past 3-6 months. Focus on core patterns including Arrays, Hash Tables, Trees, Dynamic Programming, and Graph Traversals.
2. Practice with AI Voice Mock Interviews
Simulate real pressure by practicing voice and video interview loops on Voke with AI calibrated specifically for Netflix engineering standards and behavioral rubrics.