Top 2 Teams
Reported by candidates from Uber's online assessment. Pattern, common pitfall, and the honest play if you blank under the timer.
Uber's Top 2 Teams question hit the OA circuit in March 2024, and it's a ranking and aggregation problem disguised as a simple data question. You've got a set of teams with scores or metrics, and you need to surface the top two. The trap is handling ties, missing data, or deciding what "top" means when the problem statement is sparse. StealthCoder will catch the edge case you miss under pressure.
Pattern and pitfall
This is a sorting and selection problem at its core. You'll likely parse team data, compute or extract a score, sort in descending order, and return the top two. The twist candidates report is usually in the sorting stability or how ties break. Some versions ask for top 2 by aggregate score, others by individual performance. The common mistake is assuming the input is clean or that there are always at least two teams. Use a custom comparator if the language allows it, or sort a list of tuples. If you blank on the exact sorting syntax, StealthCoder will feed you the pattern in real time so you don't lose points on implementation detail.
Drill it cold or hedge it with StealthCoder. Either way, don't walk into the OA hoping you remember the trick.
You can drill Top 2 Teams cold, or you can hedge it. StealthCoder runs invisibly during screen share and surfaces a working solution in under 2 seconds. The proctor sees the IDE. They don't see what's behind it. Made for the candidate who got the OA invite this morning and has 72 hours, not six months.
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Top 2 Teams FAQ
What if there's a tie for second place?+
The problem usually specifies (check the constraints section first). If it doesn't, assume you return exactly two teams by the sorting order they appear after you sort. Ask clarifying questions if you can, or code for the most natural interpretation: stable sort, then take the first two.
Is this a real sorting problem or is it a trick?+
It's mostly straightforward sorting and selection. The trick is usually in parsing the input format or handling edge cases like empty teams or null scores. Not a hidden greedy or DP trap.
How do I prepare for this in 48 hours?+
You don't need to. Review basic sorting (O(n log n) complexity) and how your language handles custom comparators. Practice reading the input format once. Write clean, readable code. That's enough.
Should I over-engineer this with a heap or priority queue?+
No. Use a heap only if the problem says "find top K in a stream of millions." For a fixed set of teams, sort once and slice the top two. Simpler code, same time complexity.
What if the problem asks for top 2 teams by a specific metric I've never heard of?+
The problem will define it. Read the full problem statement twice before coding. If it's an unfamiliar metric (like ELO rating or weighted score), implement the formula exactly as stated. Don't invent your own ranking system.