Rubrik Interview Questions (May 2026)
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Rubrik OA Question: Minimum Swaps to Make Binary String Palindrome
Rubrik onsite interview experience: Queue design using array
Rubrik New Grad 2025 Software Engineer Interview Experience
#276 Paint Fence
Rubrik SWE Phone - App Installation (Graph/Topological Sort)
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Rubrik SWE Phone - File Size (Tree/Recursion)
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Smallest Difference: Find the Pair of Elements from Two Arrays with Minimum Absolute Difference
Rubrik SWE Phone - Snapshot Key Value Store (Hash Table/Design)
Rubrik SDE-2 System Coding Interview Experience and Concurrency Question
#2249 Count Lattice Points Inside a Circle
#1242 Web Crawler Multithreaded
#2193 Minimum Number of Moves to Make Palindrome
Variable Expansion: Implement Shell-Style Variable Substitution in a Template String
Rubrik OA Question: Minimum Swaps to Make Binary String Palindrome
Question Details
Hi everyone, I recently got this question in an OA (Rubrik): Given a binary string s consisting of only '0' and '1', find the minimum number of swaps (swap any two characters, not necessarily adjacent) required to make the string a palindrome. If it is impossible,
return -1.
Example:
Input: s = "101000"
Output: 1 (swap the chars at position '2' & position '5') Can anyone please share the exact question link for practice if they have it handy? or best - if you have solution, please post this question to leetcode.
Topics
More from Rubrik
Rubrik Interview Process Overview
The Rubrik interview process typically includes a recruiter screen, one to two technical phone screens, and a 4-6 round on-site or virtual on-site loop. Each round serves a distinct calibration purpose: coding rounds measure correctness, code quality, and complexity reasoning; system design rounds measure architectural judgment at the appropriate level; behavioral rounds measure ownership, leadership scope, and collaboration. Reports tagged on LeakCode from 2024-2026 show Rubrik runs a calibrated process consistent with industry norms for companies of its tier.
Difficulty calibration: Rubrik coding rounds typically run medium difficulty with follow-up depth as the senior discriminator. System design rounds expect production-grade trade-off articulation at L4+ levels. Behavioral rounds expect quantified outcomes ("reduced p99 latency from 800ms to 120ms") rather than vague impact claims. The candidates who advance consistently demonstrate clear thinking out loud rather than perfect final answers.
How To Use Rubrik Question Reports
Real candidate-reported interview questions are a calibration tool, not a memorization target. Rubrik updates its question pool every 2-4 months; memorizing exact problems risks misleading you when the interviewer uses a variant. The high-leverage approach: identify the patterns that appear repeatedly in Rubrik reports, practice those patterns on similar (not identical) problems, and use the reports to understand the interviewer's typical follow-up depth.
Filter the questions above by round type, difficulty, and recency. Focus first on reports from the past 6-12 months; older reports may reference questions that have since rotated out of Rubrik's pool. Reports tagged with quantified difficulty and explicit round type are higher-signal than reports without those tags. The metadata filters help you build a focused study plan in 1-2 hours rather than 8-10 hours of unstructured browsing.
Common Rubrik Interview Mistakes
Reports tagged "no hire" at Rubrik consistently surface a few patterns: jumping into code without clarifying requirements, coding silently for extended periods, missing edge cases (empty input, single element, large input, overflow), producing working code the candidate cannot refactor when probed, and behavioral stories that use "we" instead of "I" diluting individual signal. Strong candidates explicitly avoid these patterns by following a consistent round template.
The single most predictive failure mode in recent reports: not asking clarifying questions. Interviewers are explicitly trained to weight this dimension. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into implementation immediately. Strong candidates also verbalize their approach before writing code; weak candidates code in silence and lose the communication dimension of the round's calibration.