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This question evaluates competency in relational data manipulation and aggregation, specifically the ability to identify repeated actor–director relationships using SQL or Python data tools.

  • Medium
  • Amazon
  • Data Manipulation (SQL/Python)
  • Business Intelligence Engineer

Identify Frequent Actor-Director Collaborations in Film Database

Company: Amazon

Role: Business Intelligence Engineer

Category: Data Manipulation (SQL/Python)

Difficulty: Medium

Interview Round: Onsite

FILMOGRAPHY +-------+---------+------------+ | actor | dir | date | +-------+---------+------------+ | Tom | Nolan | 2020-01-01 | | Tom | Nolan | 2021-01-01 | | Tom | Nolan | 2022-01-01 | | Amy | Nolan | 2021-07-01 | +-------+---------+------------+ ##### Scenario Film industry database: find frequent actor–director collaborations ##### Question Write an SQL query to list each actor–director pair that has worked together at least three times, returning actor, dir, and collaboration_count. ##### Hints GROUP BY actor, dir; use HAVING COUNT(*) >= 3.

Quick Answer: This question evaluates competency in relational data manipulation and aggregation, specifically the ability to identify repeated actor–director relationships using SQL or Python data tools.

Last updated: Mar 29, 2026

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