Ripple coding interview
questions, leaked.
12 problems reported across recent Ripple 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.
Ripple's interview is array and hash-table heavy. Of the 12 problems reported, 6 are array problems and 5 involve hash tables. You're looking at 10 medium-difficulty questions, one easy, and one hard. The easy one exists to build confidence. Everything else will test your ability to spot patterns fast and code under pressure. If you freeze on a hash-table problem mid-assessment, StealthCoder solves it invisibly while you stay on screen. But you need to walk in confident on the core patterns. Arrays dominate the difficulty curve here.
Top problems at Ripple
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | Merge Intervals | MEDIUM | 100.0 | 49% | Array · Sorting |
| 02 | Group Anagrams | MEDIUM | 100.0 | 71% | Array · Hash Table · String |
| 03 | LRU Cache | MEDIUM | 100.0 | 45% | Hash Table · Linked List · Design |
| 04 | String Compression | MEDIUM | 100.0 | 58% | Two Pointers · String |
| 05 | Koko Eating Bananas | MEDIUM | 88.3 | 49% | Array · Binary Search |
| 06 | Basic Calculator | HARD | 88.3 | 46% | Math · String · Stack |
| 07 | Product Sales Analysis I | EASY | 88.3 | 85% | Database |
| 08 | Linked List Cycle II | MEDIUM | 88.3 | 55% | Hash Table · Linked List · Two Pointers |
| 09 | Product of Array Except Self | MEDIUM | 88.3 | 68% | Array · Prefix Sum |
| 10 | Subarray Sum Equals K | MEDIUM | 88.3 | 45% | Array · Hash Table · Prefix Sum |
| 11 | Stock Price Fluctuation | MEDIUM | 88.3 | 48% | Hash Table · Design · Heap (Priority Queue) |
| 12 | Maximum Subarray | MEDIUM | 88.3 | 52% | Array · Divide and Conquer · Dynamic Programming |
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 Ripple OA. The proctor cannot see it. Screen share cannot detect it. Made by an Amazon engineer who watched the leaked-problem repo become an industry secret. He decided you should have it too.
Get StealthCoder- array6 · 50%
- hash table5 · 42%
- string3 · 25%
- sorting2 · 17%
- linked list2 · 17%
- two pointers2 · 17%
- prefix sum2 · 17%
- design2 · 17%
- binary search1 · 8%
- math1 · 8%
Arrays and hash tables are your foundation. Merge Intervals, Product of Array Except Self, Subarray Sum Equals K, and Maximum Subarray cover the patterns you'll see first. Hash tables show up in Group Anagrams, LRU Cache, and Linked List Cycle II. These two topics alone account for 11 of 12 problems. Strings and linked lists are secondary, but LRU Cache is a design problem that combines hash tables, linked lists, and requires clean implementation. Two-pointer and prefix-sum problems overlap with arrays and strings, so master those patterns together. The single hard problem, Basic Calculator, is math and recursion intensive. It's the outlier. If you hit it and it feels foreign, StealthCoder is your safety net on the live assessment. Drill the medium array problems first, then hash-table patterns. You have the data you need.
Companies with similar patterns
If you prepped for Ripple, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass Ripple.
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. Made by an Amazon engineer who watched the leaked-problem repo become an industry secret. He decided you should have it too. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Ripple interview FAQ
How many array problems should I solve before the Ripple interview?+
At minimum, solve all 6 array problems reported: Merge Intervals, Product of Array Except Self, Subarray Sum Equals K, Maximum Subarray, Koko Eating Bananas, and Group Anagrams. These cover sorting, prefix sums, binary search, and standard iteration. That's your must-do list. Additional array practice beyond these six gives you buffer on speed.
Is the easy problem worth time?+
Yes. Product Sales Analysis I is database-focused and likely warms you up. Solve it first in your session to build momentum. It's the only easy problem across 12 reported questions, so they're setting you up to feel confident before the medium gauntlet. Use it to settle nerves and establish flow.
Should I focus on hash tables or arrays first?+
Arrays first. 6 of 12 problems are array-focused, and many hash-table problems (Group Anagrams, Subarray Sum Equals K, Linked List Cycle II) involve arrays or require prefix-sum thinking. Array mastery unlocks hash-table patterns. Hash tables are your follow-up strength.
What's the deal with LRU Cache for Ripple?+
LRU Cache is the design outlier. It combines hash tables, doubly-linked lists, and requires careful implementation. It's medium difficulty but conceptually dense. If you haven't built a cache before, solve it early so you own the pattern. It's high-signal for systems thinking.
Do I need to solve Basic Calculator before my interview?+
No. It's the single hard problem and involves math, recursion, and stack logic. That's a pattern break from the array/hash-table core. If you're confident on the 10 medium problems, skip it until after. If you hit it during the live OA, treat it as a flex problem you're not expected to ace cleanly.