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Two tables sit on the same source database

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

Two tables sit on the same source database. customers has 2 million rows that update slowly. orders has 500 million rows growing by 10 million per day. The current pipeline does a full load on both, which is fine for customers and unworkable for orders (the nightly extract has hit 4 hours). The section's spectrum: full load for small reference tables, incremental with a bookmark for large ones. Pick the load strategy by replacing each extract transform with one whose name states the strategy (full reload or bookmark-driven incremental), and add a shared bookmark-store node the incremental extract reads and writes only after a successful run.

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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