CRED coding interview
questions, leaked.
2 problems reported across recent CRED interviews. Top patterns: array, hash table, counting. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
CRED's assessment is small but deceptively sharp. Two problems, one easy and one medium, both hammer arrays and frequency counting. You won't face a sprawling question bank here, so every problem they ask is a signal. The easy one is straightforward: count elements by their frequency. The medium one layers in binary search, greedy thinking, and sliding windows all at once. It's the kind of problem that separates people who've drilled the pattern from people who haven't. If you hit a wall mid-assessment, StealthCoder runs invisibly on screen share and surfaces a working solution in seconds. But first, know what you're walking into.
Top problems at CRED
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | Count Elements With Maximum Frequency | EASY | 100.0 | 78% | Array · Hash Table · Counting |
| 02 | Frequency of the Most Frequent Element | MEDIUM | 89.4 | 44% | Array · Binary Search · Greedy |
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 CRED OA. The proctor cannot see it. Screen share cannot detect it. Built by an engineer who got tired of watching his cohort grind for six months and still get filtered at the OA stage.
Get StealthCoder- array2 · 100%
- hash table1 · 50%
- counting1 · 50%
- binary search1 · 50%
- greedy1 · 50%
- sliding window1 · 50%
- sorting1 · 50%
- prefix sum1 · 50%
Array manipulation dominates the signal across both problems. Frequency counting appears in the easy problem and again in a more complex form in the medium one, so that's your first drill target. The medium problem is where CRED filters candidates. It touches binary search, greedy optimization, sliding window, sorting, and prefix sums all in one question. That's not scope creep on their part; it's a single elegant problem that requires pattern recognition across multiple techniques. Start with the easy problem to build confidence, then spend most of your time on frequency optimization using the medium problem as your sandbox. If you're stuck on the greedy or sliding-window approach during the live assessment, StealthCoder is your hedge to stay unblocked.
Companies with similar patterns
If you prepped for CRED, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass CRED.
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 engineer who got tired of watching his cohort grind for six months and still get filtered at the OA stage. Works on HackerRank, CodeSignal, CoderPad, and Karat.
CRED interview FAQ
What should I drill first for CRED's assessment?+
Frequency counting with hash tables. Both problems touch it, and the easy one is purely that pattern. Solve Count Elements With Maximum Frequency cold until you can write it in under two minutes. That builds momentum before the medium problem.
Is the medium problem really that hard for a CRED interview?+
It depends on your pattern library. If you've done sliding-window optimization and greedy array problems, it's medium. If you haven't seen frequency optimization combined with binary search, it'll feel harder. The problem itself isn't tricky; it rewards recognizing which technique to apply when.
How much time should I spend on each problem during prep?+
Spend 20 minutes max on the easy one. Put 45 to 60 minutes on the medium problem, trying different approaches: greedy alone, then with sliding window, then with binary search. That's where the pattern sticks.
Do I need to know binary search well for CRED?+
The medium problem uses it, but not as the main challenge. What matters more is recognizing when binary search solves the optimization step. If binary search is weak, drill lower-bound and upper-bound queries on sorted arrays first.
What if I blank on the greedy approach during the assessment?+
That's exactly when StealthCoder works. It reads the problem in real time and surfaces a working solution you can adapt, all invisible to the proctor. You stay unblocked and move forward.