100 interview questions from past Twitter candidates
How to use this company question set
Start with the highest-frequency questions to build momentum, then move into category gaps where your confidence is lower. If you are early in prep, pair this page with the full Twitter interview guide for process expectations and timeline context.
For stronger retention, rotate through coding patterns and the interview roadmap while tracking recurring misses in this company-specific list.
Company question insights and frequency breakdown
Total Questions
100
Very Common
24
Categories
10
Reports
778
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Question Categories
Very Common Questions24
These questions are frequently asked at this company
Netflix: Multi-Region Failover
Palantir: Federated Data Architecture
Coinbase: Transaction Processing Order
Databricks: Incremental Processing
Meta: Photo Upload at Scale
Robinhood: Payment for Order Flow
Meta: Instagram Story Architecture
Salesforce: Multi-Tenant Architecture Basics
Apple: Memory Constraints
Event Sourcing
Databricks: Unity Catalog
Salesforce: Shared Nothing vs Shared Everything
Coinbase: Portfolio Tracking Dashboard
Netflix: Event-Driven Architecture
Stripe: Idempotency Keys
Bloomberg: Pub-Sub Market Data Architecture
Cache Invalidation: Write-Through vs Write-Behind
Load Balancing Algorithms
DoorDash: Notification System
Design a Key-Value Store
Coinbase: Crypto Exchange Order Book
DoorDash: Dynamic Pricing (Surge)
Spotify: Playlist Follow Notifications
Design a caching strategy for an e-commerce product catalog
Common Questions15
Regularly reported by candidates
DoorDash: Search and Discovery
Coinbase: Transaction History at Scale
Coinbase: Wallet Balance Tracking
Database: ACID vs BASE
Consistency Model for Messaging Systems
What does ROW_NUMBER() OVER (PARTITION BY dept ORDER BY salary DESC) do?
Palantir: Ontology-Driven Data Integration
Databricks: Data Skipping
Debug a database deadlock issue
Twitter Tweet Storage: Database Choice
Databricks: Data Lakehouse Architecture
Databricks: Multi-Cloud Data Sharing
Database: Read Replicas
Month-over-Month Revenue Growth
Database Replication
Occasional Questions61
Reported from time to time
BFS Data Structure
Databricks: MERGE Operation
Bloomberg: Order Book Management
Meta: Subarray Product Problem
Databricks: Consistent Hashing for Partitioning
Greedy: When It Fails
House Robber II
Climbing Stairs
Two Pointers: When to Use
Evaluate Reverse Polish Notation
Merge Intervals
Uber: Shortest Path with Traffic
Remove Duplicates from Sorted List
Robinhood: Decimal Precision
DP State Reduction
Kth Largest Element in an Array
Google: DP vs Greedy
Bipartite Graph Chromatic Number
LinkedIn: Feed Generation Strategy
Spotify: Play Queue Management
Tesla: Battery Pack Cell Configuration
Intervals: Merge Overlapping
Encode and Decode Strings
Heapsort Complexity
K-Way Merge with Heap
TikTok: Bloom Filter for Seen Content
Coinbase: Batch Transaction Processing
Spotify: Skip List for Playlist Index
Sliding Window: Problem Recognition
Product of Array Except Self
DP: Memoization vs Tabulation
Meta: Two Pointer Pattern Recognition
Microsoft: Tree Traversal Order
Coinbase: Atomic Transaction Processing
DP: 0/1 Knapsack Pattern
Airbnb: Availability Calendar
Container With Most Water
Graph: Cycle Detection
Coin Change
Heap Insert Complexity
Heapify Time Complexity
BFS vs DFS: When to Use BFS
Merge Sorted Array
Tree Traversal: Inorder Property
Sort Colors (Dutch National Flag)
Coinbase: Order Book Data Structure
Number of Islands
Edit Distance Problem
Word Break
DoorDash: Order-Dasher Matching
Number of 1 Bits
Hash Map: Frequency Counting
Maximum Subarray Sum
DoorDash: LRU Cache for Restaurant Data
Spotify: Artist Collaboration Graph
Coinbase: Input Sanitization for Financial Data
DoorDash: Shortest Path for Delivery
DoorDash: Assignment at Scale
Spiral Matrix
Maximum Subarray
Pow(x, n)
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