Binary Searchmedium45 minData Engineer

Dedupe Minimum Feasible Throughput

Data Engineer signal: binary search on answer + monotonic predicate in a transaction dedupe context. This is a ProdMatch-owned data engineer drill, framed as a April 2026 Cars24 Trust Data simulation, not a copied platform question.

Company context

Cars24 · Trust Data

Freshness

April 2026

Product surface

transaction dedupe

ProdMatch interview simulation based on product-team patterns; not a claim of a real company question.

Question

For transaction dedupe, choose the minimum processing rate so all records finish before deadline. Each worker can process rate units per minute, rounded up per item.

Input

Work item sizes and deadline minutes.

Output

Minimum integer rate.

Constraints

1 <= items.length <= 200000
1 <= item size <= 1e9
Deadline is at least items.length.

Concepts

stream windows
watermarks
lineage DAGs
binary search on answer
monotonic predicate

sizes [3,6,7,11], deadline=8 -> 4

Approach

Try framing your own approach first. The 30 seconds you think before peeking is where learning happens.

Clean Solution

Reveal the approach first.

How well did you understand?

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Common Mistakes

Use low + (high - low) // 2 to avoid overflow.
The predicate must be monotonic or binary search is invalid.

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