Credit Karma coding interview
questions, leaked.
3 problems reported across recent Credit Karma interviews. Top patterns: stack, math, array. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
Credit Karma's coding assessments hit hard on patterns you can't half-ass. With only three reported problems in the pool, you're looking at a curated set that tests whether you can think, not just code. Two medium, one hard. Stack and math are the dominant threads. The hard problem is Trapping Rain Water, which means they're screening for spatial reasoning and algorithm depth. If you blank on the approach mid-assessment, StealthCoder surfaces a working solution in seconds, invisible to the proctor. You'll know the right move before your brain locks up.
Top problems at Credit Karma
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | Trapping Rain Water | HARD | 0.0 | 65% | Array · Two Pointers · Dynamic Programming |
| 02 | Monotone Increasing Digits | MEDIUM | 0.0 | 49% | Math · Greedy |
| 03 | Basic Calculator II | MEDIUM | 0.0 | 46% | Math · String · Stack |
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 Credit Karma 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- stack2 · 67%
- math2 · 67%
- array1 · 33%
- two pointers1 · 33%
- dynamic programming1 · 33%
- monotonic stack1 · 33%
- greedy1 · 33%
- string1 · 33%
Stack problems show up twice across the dataset, and both involve calculation or state manipulation. Trapping Rain Water demands you see the problem from multiple angles (two-pointer, dynamic programming, monotonic stack all work), which is why it's the filter question. Math appears twice as well, paired with greedy and string parsing. Basic Calculator II is the pattern-matcher's nightmare: you need to parse operators, handle precedence, and maintain state simultaneously. Array, two-pointer, dynamic programming, and greedy are each present once, but they're not throw-away topics. They're context. The real move: nail stack-based solutions and math parsing. If you haven't drilled Trapping Rain Water until you can code it three ways, start there. StealthCoder is your hedge if a variant pops that you didn't prepare for on the live OA.
Companies with similar patterns
If you prepped for Credit Karma, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass Credit Karma.
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.
Credit Karma interview FAQ
What should I study first for Credit Karma?+
Stack problems. They appear twice in the dataset and form the backbone of both medium and hard problems. Master Trapping Rain Water first, then Basic Calculator II. Both are stack-heavy. The monotonic stack variant of Trapping Rain Water is what separates strong candidates from the rest.
Is two weeks enough to prep for this interview?+
Yes. Only three problems reported. Two are medium, one is hard. Drill Trapping Rain Water in all three forms (two-pointer, DP, monotonic stack). Solve Basic Calculator II and Monotone Increasing Digits until you don't think. Then stop and trust your prep.
How much time should I spend on math problems?+
Math appears twice in the dataset, always paired with other topics. Monotone Increasing Digits combines math with greedy logic. Basic Calculator II combines math with stack and string parsing. Don't isolate math. Practice these two problems as holistic challenges, not as pure math drills.
What if I see a dynamic programming problem?+
Dynamic programming is one of Trapping Rain Water's valid approaches. You don't need to cram DP patterns beyond that context. The dataset doesn't show DP as a primary focus. Master the specific DP solution to Trapping Rain Water and you're covered.
Should I worry about greedy algorithms?+
Greedy appears once, in Monotone Increasing Digits. It's not a heavy topic in this pool. Solve that one problem and understand the greedy choice it makes (scan right-to-left, decrement when you break monotonicity). That's sufficient for Credit Karma's assessment.