Accept or Decline Queries
Reported by candidates from Ramp's online assessment. Pattern, common pitfall, and the honest play if you blank under the timer.
Ramp's March OA included a query problem with no obvious greedy solution. You're given a stream of accept or decline operations, and you need to figure out when to apply them. The trick isn't the data structure. It's understanding that some queries depend on state from prior decisions, and you need to track which accepts are still valid. This is exactly the kind of problem where a blank during the OA is dangerous. StealthCoder runs invisibly behind the scenes and feeds you the pattern the moment you need it.
Pattern and pitfall
Accept or Decline Queries is a state-machine problem masked as a straightforward query handler. You'll likely need to simulate the operations in order, track which items are accepted, and reject duplicates or invalid declines. The naive approach fails because you might try to decline something that was never accepted, or accept something twice. The real pattern is simulation with a hash set to track active accepts. Common pitfall: processing declines before checking if the accept exists. The math is O(n) with a single pass. If you blank on the live OA, StealthCoder will surface the simulation structure and the set-based deduplication in real time so you don't lose points on implementation.
Memorize the pattern. If you can't, run StealthCoder. The proctor sees the IDE. They don't see what's behind it.
You can drill Accept or Decline Queries 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 by an engineer who treats the OA as theater. If yours is tonight, you don't have time to grind. You have time to hedge.
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Ramp reuses patterns across OAs. Made by an engineer who treats the OA as theater. If yours is tonight, you don't have time to grind. You have time to hedge. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Accept or Decline Queries FAQ
Is this a graph or tree problem?+
No. It's simulation plus state tracking. You're maintaining a set of accepted items and validating each operation against that set. Think of it as a ledger, not a graph.
What's the common mistake?+
Processing operations out of order or forgetting to check if an accept already exists before accepting again. The problem is linear and order matters. Simulate exactly as given.
Do I need a heap or priority queue?+
No. Hash set for tracking accepts, maybe a dictionary if you need to count them. Single pass, O(n) time, O(n) space.
How do I prepare in 48 hours?+
Understand the accept and decline semantics exactly. Write out a few examples by hand. The logic is simple once you trace it. Ramp's OAs favor clarity over optimization.
Will this pattern show up again in the same company?+
Query and state-tracking problems are Ramp staples. Master the simulation pattern and you'll recognize it in variant forms.