High Five
A easy-tier problem at 74% community acceptance, tagged with Array, Hash Table, Sorting. Reported in interviews at Goldman Sachs and 0 others.
High Five is a straightforward array and hash table problem that Goldman Sachs has reportedly asked. It sits at easy difficulty with a 74% acceptance rate, which means most candidates who see it solve it. The trick isn't complex, but there's a clean implementation that separates people who rushed from people who thought it through. If you hit this on a live assessment and blank on the exact approach, StealthCoder surfaces a working solution in seconds, invisible to the proctor.
Companies that ask "High Five"
High Five is the kind of problem that decides whether you pass. StealthCoder reads the problem on screen and surfaces a working solution in under 2 seconds. Invisible to screen share. The proctor sees nothing. Built by an Amazon engineer who used it to pass JPMorgan's OA and system design loop.
Get StealthCoderThe problem usually asks you to group data by key (hash table) and then return the maximum value or sorted result from each group. The naive approach iterates and builds a dictionary, then sorts or heaps the result. Most candidates get the grouping right but overcomplicate the sorting step or forget to handle ties. The real edge is recognizing that a simple hash table with list aggregation plus a final sort pass beats trying to be clever with a heap. Common pitfall: using a default dict and forgetting the sort order. StealthCoder handles these details instantly if you're mid-interview and the problem feels like it should be simple but isn't clicking.
Pattern tags
You know the problem.
Make sure you actually pass it.
High Five recycles across companies for a reason. It's easy-tier, and most candidates blank under the timer. StealthCoder is the hedge: an AI overlay invisible during screen share. It reads the problem and surfaces a working solution in under 2 seconds. Built by an Amazon engineer who used it to pass JPMorgan's OA and system design loop. Works on HackerRank, CodeSignal, CoderPad, and Karat.
High Five interview FAQ
Is High Five actually asked at Goldman Sachs interviews?+
Yes, Goldman Sachs is the only company in the available dataset that has reported asking it. Easy-difficulty array and hash table problems are common warm-ups in their technical rounds, so this is a legitimate prep target for their pipeline.
What's the difference between solving this with a hash table vs. a heap?+
Hash table approach: aggregate values into lists, then sort. Heap approach: maintain a priority queue per key. For small datasets, the hash table is faster and cleaner. Heaps shine when you need streaming inserts or N is massive, which High Five doesn't require.
Why is the acceptance rate so high if it's on interviews?+
At 74%, this problem is genuinely easy. It's likely used as a warm-up or screening problem. High acceptance doesn't mean it's not asked; it means most prepared candidates pass it. Don't let the rate fool you into skipping it.
Which topic matters most: Array, Hash Table, Sorting, or Heap?+
Hash Table and Sorting are the core skills here. Array is the container, and Heap is an alternate (often overkill) approach. Master the hash table aggregation and sort pattern first; that's what the solution hinges on.
If I freeze on this during the OA, what do I do?+
Say you want to group the data and then return a sorted or max result per group. That roadmap will unlock the implementation. If you're truly stuck and running out of time, StealthCoder runs invisibly and hands you a clean, working solution so you can paste it and move on.
Want the actual problem statement? View "High Five" on LeetCode →