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 Two Sigma Interview Question Collection

Two Sigma  Two Sigma Interview Question Collection

Two Sigma Question 1 — Merge Sensor Data The Merger class has two public methods: acceptBatches(batches: List<List<…>>) :Pass N batches of delta-encoded elements where the ith batch corresponds to data from the ith sensor.Data within a batch is sorted by timestamp and delta-encoded.Do not rely on references to the batches after acceptBatches returns. getNextElement() →…

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Two Sigma 2025-11-11
Tesla Interview — Troubleshoot Linux Service Throughput Drop (1000 rps → 2 rps) | Performance Debugging | Linux Profiling Playbook

Tesla Tesla Interview — Troubleshoot Linux Service Throughput Drop (1000 rps → 2 rps) | Performance Debugging | Linux Profiling Playbook

An application running on Linux used to process 1000 requests/second. Now it only processes ~2 requests/second.How would you troubleshoot this issue? A. Frame the problem (1–2 min) B. Quick triage (5 min, command set) C. Locate the bottleneck D. Common instant fixes E. Verify & prevent (close loop) Answer pattern (talk track): start with measurement…

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Tesla 2025-11-10
Tesla Interview — Find All Unique Triplets Summing to Target | 3Sum Generalized Version | Two-Pointer Optimization

Tesla Tesla Interview — Find All Unique Triplets Summing to Target | 3Sum Generalized Version | Two-Pointer Optimization

Given an array of integers nums and an integer target, return an array of arrays containing all unique triplets that add up to target. Each returned triplet must be in ascending order, and the final result must not contain duplicate triplets. You may assume nums has at least 3 elements. Example: This is a generalized…

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Tesla 2025-11-10
Tesla Coding Interview — Minimum Operations to Reduce Integer to 1 | Greedy + Bit Manipulation | Optimal Strategy

Tesla Tesla Coding Interview — Minimum Operations to Reduce Integer to 1 | Greedy + Bit Manipulation | Optimal Strategy

Problem:Given an integer n, you may perform only the following operations: Your goal is to compute the smallest number of operations required to reduce n to 1. Example: This is a classic greedy + bit-manipulation problem.Two operations are allowed: The key insight comes from binary representation: This produces an O(log n) time greedy solution. This…

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Tesla 2025-11-10
DoorDash VO Interview — Maximum Path Sum Between “Alive” Nodes in a Binary Tree | Tree DP | Post-Order DFS

Doordash DoorDash VO Interview — Maximum Path Sum Between “Alive” Nodes in a Binary Tree | Tree DP | Post-Order DFS

Part A — Leaves are the only“alive”nodes You are given a binary tree whose nodes have integer values.Define an alive node as a leaf node.Find the maximum path sum between any two alive nodes in the tree.A path is a sequence of connected nodes; its sum is the sum of node values along the path….

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Doordash 2025-11-07
DoorDash VO Interview — Nearest Neighboring City | closestStraightCity | Hash Map + Sorting | Manhattan Distance

Doordash DoorDash VO Interview — Nearest Neighboring City | closestStraightCity | Hash Map + Sorting | Manhattan Distance

You are given n cities on a Cartesian plane.For each city i, you know: For every queried city q, return the name of the nearest city that shares either the same x or the same y coordinate with q. If no other city shares the same x or the same y with q, return “NONE”….

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Doordash 2025-11-07
DoorDash VO Interview — Maximum Usable Credit | Interval Scheduling | Time Window Overlap | Sweep Line

Doordash DoorDash VO Interview — Maximum Usable Credit | Interval Scheduling | Time Window Overlap | Sweep Line

Many companies provide their employees time-limited DoorDash credits as perks.Each credit: A customer placing one order can combine multiple credits, as long as their time windows overlap with the order time. You are given a list of credits, each represented as: Your task is to determine the maximum credit amount the customer can use at…

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Doordash 2025-11-07
DoorDash VO Interview — Recommend Similar Items | Recommendation Ranking | Sorting | Distance Metric

Doordash DoorDash VO Interview — Recommend Similar Items | Recommendation Ranking | Sorting | Distance Metric

DoorDash uses machine learning to recommend users items that are similar to ones they have ordered before. Each item is assigned an integer score, and the similarity between two items is defined by how close their scores are. Given: Return the mostSimilarItems items that are closest in score to the target score. The smaller the…

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Doordash 2025-11-07
DoorDash VO Interview — Minimum Dasher Capacity | Binary Search | Load Distribution | Greedy Strategy

Doordash DoorDash VO Interview — Minimum Dasher Capacity | Binary Search | Load Distribution | Greedy Strategy

You are given a 0-indexed integer array representing the number of orders for each restaurant.You are also given an integer d, representing the number of available dashers. Each dasher can work only for one restaurant, and must handle all orders assigned to them from that restaurant. Your task is to find the minimum capacity k…

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Doordash 2025-11-07
DoorDash VO Interview — Find Closest DashMart Distance | BFS on Grid | Pathfinding | 2D Matrix Interview Problem

Doordash DoorDash VO Interview — Find Closest DashMart Distance | BFS on Grid | Pathfinding | 2D Matrix Interview Problem

You are given a 2D grid representing a city map.Each cell contains one of the following characters: You are allowed to move in four directions:up, down, left, right You are given a list of query locations in:[row, col] format For each query location, return the minimum distance to the nearest DashMart.If the location is out…

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Doordash 2025-11-07
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