Smartsheet coding interview
questions, leaked.
4 problems reported across recent Smartsheet interviews. Top patterns: array, hash table, sorting. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
Smartsheet's assessment is four medium-difficulty problems, all arrays. You're looking at hash tables, sorting, and heap operations across nearly every question. The company leans hard on top-K frequency problems and island-traversal patterns. One runtime wall and you're done. StealthCoder runs invisibly during the assessment and surfaces working code the moment you hit a blank, turning a panic into a solve. You have the data now. Drill arrays and hash tables first, then learn heap and bucket-sort implementations cold.
Top problems at Smartsheet
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | Top K Frequent Words | MEDIUM | 100.0 | 59% | Array · Hash Table · String |
| 02 | Max Area of Island | MEDIUM | 89.4 | 73% | Array · Depth-First Search · Breadth-First Search |
| 03 | Group Anagrams | MEDIUM | 89.4 | 71% | Array · Hash Table · String |
| 04 | Top K Frequent Elements | MEDIUM | 89.4 | 65% | Array · Hash Table · Divide and Conquer |
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 Smartsheet 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- array4 · 100%
- hash table3 · 75%
- sorting3 · 75%
- string2 · 50%
- heap priority queue2 · 50%
- bucket sort2 · 50%
- counting2 · 50%
- depth first search1 · 25%
- breadth first search1 · 25%
- union find1 · 25%
Array manipulation dominates the assessment, appearing in all four problems. Hash tables follow close behind, then sorting and heap operations tie for third. Top K Frequent Words and Top K Frequent Elements are the real gatekeepers: they demand hash tables for counting, then either a heap or bucket sort for ranking. Max Area of Island tests your graph traversal chops, depth-first and breadth-first search. Group Anagrams is the easiest pattern, but it still requires clean sorting or hash-table logic. Your weak point is likely heap and bucket sort under pressure. That's where StealthCoder becomes your safety net on the live assessment. Start with array iteration and hash-table counting patterns. Then drill heap implementations and bucket-sort edge cases. You won't have time to learn them both during the OA.
Companies with similar patterns
If you prepped for Smartsheet, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass Smartsheet.
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.
Smartsheet interview FAQ
Should I spend more time on hash tables or arrays for Smartsheet?+
Arrays are mandatory, but hash tables are the multiplier. All four problems use hash tables for counting or grouping. Arrays appear in every single problem, but they're scaffolding. Master hash-table insertion, lookup, and iteration first, then array traversal patterns. Then pair them together.
Is heap or bucket sort more important for Smartsheet?+
Both appear in Top K problems, which are two of the four problems you'll face. Heap is the safer bet: it's easier to implement under pressure and works for any K. Bucket sort is faster asymptotically, but it's a gotcha on interview day. Learn heap solid, bucket sort second.
How many Top K problems should I solve before the assessment?+
Two of the four problems are top-K variants. Solve at least five to ten top-K problems across different domains, frequencies, and implementations. You need to muscle-memory the hash-count-and-heap pipeline. One solved isn't enough; three is your baseline.
Do I need to know union-find for Smartsheet?+
It appears once, in Max Area of Island. You can solve it with depth-first search alone. Union-find is a nice-to-have optimization, not a blocker. Focus on dfs and bfs first. Union-find is your last-day cramming topic.
What's the fastest way to prep if I have one week?+
Day one through three, solve hash table and array problems. Day four, drill top-K implementations with heap. Day five, solve Max Area of Island and Group Anagrams back-to-back. Day six, timed runs. Day seven, rest and setup. You can't learn bucket sort in a week. That's why StealthCoder is on your system during the actual assessment.