Max User Traffic
Reported by candidates from Amazon's online assessment. Pattern, common pitfall, and the honest play if you blank under the timer.
Amazon's Max User Traffic question showed up in February 2024 OAs, and it's asking you to find a peak or maximum across some kind of time series or event log. The pattern isn't obvious from the title alone, but candidates report it's either an interval merging problem, a sweep-line counting problem, or a simulation that tracks concurrent events. StealthCoder can read the exact wording live and match it to the right approach if you blank on the strategy.
Pattern and pitfall
Without the verbatim text, the most likely shape is: given timestamps of user login/logout events or traffic spikes, find the moment with the highest concurrent users or highest aggregate traffic. The trick is usually recognizing you don't need to simulate every second. Instead, use events: create a list of (time, delta) pairs, sort by time, then scan left to right tracking a running count. Common pitfall: tie-breaking when multiple events happen at the same timestamp, and whether you count simultaneous arrivals/departures as overlapping. StealthCoder's real value here is catching the exact tie-breaking rule from the problem statement during the OA, so you don't code the wrong interpretation.
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Max User Traffic FAQ
Is this a sorting + greedy problem or dynamic programming?+
It's sorting and a single pass (greedy/simulation). No DP needed. Sort events by timestamp, track a running count or sum, find the max. It's O(n log n) because of sort, not because the problem is complex.
What's the trick with concurrent events at the same time?+
The problem statement will clarify: do logins and logouts at time T both count as concurrent, or is logout considered before login. Read the exact wording. If both happen at T, process one before the other based on what maximizes or counts first. This is almost always where people lose points.
How do I code this in 10 minutes if I recognize the pattern?+
Parse input into (timestamp, delta) pairs. Use a delta of +1 for login, -1 for logout. Sort by timestamp. Scan through and track running sum. Track max. Return max and timestamp. If they ask for the timestamp, store it. Basic template; 5-6 lines of logic.
Will Amazon ask me to optimize further or return multiple outputs?+
Possibly. Some variants ask for the earliest time of max traffic, or the duration of peak traffic. Read the output spec carefully. The sweep-line approach scales to any of these variants without major changes.
Is this still a common Amazon OA pattern in 2024?+
Amazon loves interval and event-based problems. This flavor appeared in February 2024, so yes, it's live. Expect similar shapes: concurrent connections, overlapping intervals, traffic peaks. The solution pattern is stable.