| Status | Title | Video | Leetcode | Solve | Difficulty | Companies | Topics |
|---|---|---|---|---|---|---|---|
| 393. UTF-8 Validation | Solve | Medium | Facebook+1 | ||||
| 864. Shortest Path to Get All Keys | Solve | Hard | Airbnb+5 | ||||
| 1232. Check If It Is a Straight Line | Solve | Easy | Accenture+3 | ||||
| 2192. All Ancestors of a Node in a Directed Acyclic Graph | Solve | Medium | Google+2 | ||||
| 2225. Find Players With Zero or One Losses | Solve | Medium | Amazon+2 | ||||
| 2312. Selling Pieces of Wood | Solve | Hard | Palantir Technologies |
Palantir Technologies is known for building complex data platforms used by governments, enterprises, and research organizations. Because of the technical depth of their products, Palantir’s hiring process strongly evaluates a candidate’s problem-solving ability, coding clarity, and understanding of data structures and algorithms.
In a typical Palantir interview process, candidates go through multiple coding rounds where they are expected to write clean, efficient code and explain their reasoning clearly. Interviewers often focus on core DSA concepts such as arrays, graphs, hash maps, recursion, and optimization techniques. Strong analytical thinking and the ability to break down real-world problems into algorithmic solutions are key.
This page includes 6 carefully selected DSA questions inspired by Palantir Technologies interviews. Practicing these problems will help you understand common patterns, improve your coding speed, and build the confidence needed to perform well in Palantir-style technical interviews.
Palantir Technologies interviews focus heavily on analytical thinking, clean coding, and structured problem solving. Unlike some companies that emphasize trick questions, Palantir often presents problems that require careful reasoning and step-by-step solution building. Candidates are expected to clearly explain their thought process while writing efficient code.
During coding interviews, interviewers typically assess how you approach a problem rather than just the final answer. Make sure you clarify assumptions, discuss possible approaches, and analyze time and space complexity before jumping into implementation.
A strong preparation strategy is to practice curated DSA questions, review common algorithm patterns, and simulate real interview conditions. Consistent practice with problems similar to Palantir interviews will significantly improve your confidence and performance.