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A mobile SDK queued a checkout_completed event with event_time Tuesday 09:14 on a phone with patchy

A medium Pipeline Design mock interview question on DataDriven. Practice with AI-powered feedback, real code execution, and a hire/no-hire decision.

Domain
Pipeline Design
Difficulty
medium

Interview Prompt

A mobile SDK queued a checkout_completed event with event_time Tuesday 09:14 on a phone with patchy reception. The phone reconnected Thursday 14:27 and the event arrived at the pipeline two days late. The section names three things a pipeline can do with a late event: include it in its event-time bucket and update history, include it in the bucket of when it arrived, or drop it. The first is correct but mutates yesterday; the second is wrong but cheap; the third is wrong but predictable. Place the late event on the canvas: replace the processing-time aggregation with one that buckets by event time, and add a node whose name states which of the three reactions the pipeline now uses.

How This Interview Works

  1. Read the vague prompt (just like a real interview)
  2. Ask clarifying questions to the AI interviewer
  3. Write your pipeline design solution with real code execution
  4. Get instant feedback and a hire/no-hire decision

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