Rippling coding interview
questions, leaked.
16 problems reported across recent Rippling interviews. Top patterns: array, hash table, string. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
Rippling's interview is array-heavy with a design and graph twist. You're looking at 16 problems total: 6 are hard, 8 medium, 2 easy. Arrays show up in nearly every question, followed by hash tables and strings. The hard problems lean on design patterns (think spreadsheet systems, cache internals, formula evaluation) and graph algorithms. You'll need to be fluent in traversal, union-find, and dynamic programming. If you hit a wall on a design problem or graph traversal mid-assessment, StealthCoder runs invisible during screen share and surfaces a working solution in seconds.
Top problems at Rippling
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | Design Excel Sum Formula | HARD | 100.0 | 43% | Array · Hash Table · String |
| 02 | Median of Two Sorted Arrays | HARD | 88.8 | 44% | Array · Binary Search · Divide and Conquer |
| 03 | Design Spreadsheet | MEDIUM | 88.8 | 68% | Array · Hash Table · String |
| 04 | Evaluate Division | MEDIUM | 84.2 | 63% | Array · String · Depth-First Search |
| 05 | Synonymous Sentences | MEDIUM | 63.5 | 57% | Array · Hash Table · String |
| 06 | Employee Importance | MEDIUM | 63.5 | 68% | Array · Hash Table · Tree |
| 07 | Maximum Subarray | MEDIUM | 63.5 | 52% | Array · Divide and Conquer · Dynamic Programming |
| 08 | Optimal Account Balancing | HARD | 63.5 | 50% | Array · Dynamic Programming · Backtracking |
| 09 | Last Stone Weight | EASY | 55.1 | 66% | Array · Heap (Priority Queue) |
| 10 | Accounts Merge | MEDIUM | 55.1 | 60% | Array · Hash Table · String |
| 11 | Number of Visible People in a Queue | HARD | 55.1 | 71% | Array · Stack · Monotonic Stack |
| 12 | Maximize Amount After Two Days of Conversions | MEDIUM | 55.1 | 59% | Array · String · Depth-First Search |
| 13 | Insert Delete GetRandom O(1) | MEDIUM | 55.1 | 55% | Array · Hash Table · Math |
| 14 | LFU Cache | HARD | 55.1 | 47% | Hash Table · Linked List · Design |
| 15 | Merge Two Sorted Lists | EASY | 55.1 | 67% | Linked List · Recursion |
| 16 | Alien Dictionary | HARD | 55.1 | 37% | Array · String · Depth-First Search |
Frequencies derived from public community-tagged interview reports. Click a row to view on LeetCode.
You have a week, maybe less. You can't out-grind the list above. StealthCoder runs invisibly during the actual Rippling OA. The proctor cannot see it. Screen share cannot detect it. Built by an Amazon engineer who realized the OA tests how well you memorized 200 problems, not how well you code.
Get StealthCoder- array14 · 88%
- hash table7 · 44%
- string7 · 44%
- depth first search5 · 31%
- breadth first search5 · 31%
- design4 · 25%
- graph4 · 25%
- union find3 · 19%
- divide and conquer2 · 13%
- matrix2 · 13%
Array problems dominate 14 of the 16 questions, so drilling array manipulation, binary search, and subarray patterns is non-negotiable. Hash tables and strings each appear 7 times, often paired with arrays for multi-step problems like account merging and formula evaluation. Graph and DFS/BFS come in at 5 occurrences each, concentrated in the medium and hard tiers. Design problems (4 instances) are Rippling's signature: spreadsheet sum formulas, caches, and balance sheets. Union-find appears 3 times and is the glue for account merging and synonym linking. The hard problems are where the company separates serious candidates. You can't wing "Design Excel Sum Formula" or "Optimal Account Balancing." Spend half your prep on arrays and design, then build depth in graph traversal. If you blank on a topological sort or backtracking edge case on the live OA, StealthCoder is your hedge.
Companies with similar patterns
If you prepped for Rippling, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass Rippling.
Memorizing every problem above in a week is a fantasy. StealthCoder is the hedge: an AI overlay that's invisible during screen share. It reads the problem on screen and surfaces a working solution in under 2 seconds. Built by an Amazon engineer who realized the OA tests how well you memorized 200 problems, not how well you code. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Rippling interview FAQ
Should I prioritize array problems over design?+
No. Arrays are mandatory foundation, but Rippling's 4 design problems are where you prove you can build systems. Master "Design Excel Sum Formula" and "Design Spreadsheet" first. They blend arrays, hashing, and topological thinking. Array drills come second.
How many graph and DFS/BFS problems do I need to solve?+
Both appear 5 times in the reported set. That's significant. Hit "Evaluate Division," "Employee Importance," and "Accounts Merge" to lock in traversal patterns. Union-find variants matter too. 5 to 8 graph drills total before your OA.
Is union-find actually tested, or is it a distraction?+
It's real. Union-find shows up in 3 problems here, most notably "Accounts Merge" and "Synonymous Sentences." If you skip it, you're walking into a trap. Spend a day on it. It's worth the time.
What's the gap between medium and hard problems here?+
Medium problems test pattern recognition on arrays and graphs. Hard problems require system design thinking. "Design Excel Sum Formula" adds topological sort and circular dependency handling. "Optimal Account Balancing" layers backtracking and bitmasks. Mediums are checks. Hards are filters.
Can I skip binary search and divide-and-conquer?+
No. "Median of Two Sorted Arrays" is hard and uses divide-and-conquer. "Maximum Subarray" tests both. They're in the top problems. You need both, though they're lower frequency overall. Don't ignore them.