Graphshard70 minFull Stack Developer

CRM Evidence Path Finder

Full Stack Developer signal: shortest path + weighted graph in a sales CRM context. This is a ProdMatch-owned full stack engineer drill, framed as a April 2026 Oracle Customer Platform simulation, not a copied platform question.

Company context

Oracle · Customer Platform

Freshness

April 2026

Product surface

sales CRM

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

Question

In sales CRM, entities are connected by weighted evidence edges. For each query, find the least-cost evidence path from source to target while avoiding blocked entities.

Input

Weighted graph, blocked set, and q source-target queries.

Output

Minimum cost per query, or -1 if unreachable.

Constraints

1 <= nodes <= 100000
1 <= edges <= 300000
1 <= queries <= 100000
All weights are non-negative.

Concepts

workflow graphs
API pagination
cache invalidation
shortest path
weighted graph
retrieval quality

0-1 cost 2, 1-2 cost 3, query 0->2 -> 5

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?

Your rating tunes when this problem shows up again.

Common Mistakes

Mark visited when enqueueing, not after repeated dequeue.
Do not ignore disconnected components if the product surface can have them.

Next Similar Problems

Onboarding Dependency DAG Recoverymedium Onboarding Evidence Path Finderhard Billing Dependency DAG Recoveryhard