Quick Overview

This question evaluates proficiency in SQL-based data manipulation and analytics, focusing on joins across event and reference tables, time-of-day bucketing and aggregation for CTR, boolean filtering, and date-based currency conversion for revenue.

Write SQL for CTR and Revenue

Company: Meta

Role: Data Scientist

Category: Data Manipulation (SQL/Python)

Difficulty: medium

Interview Round: Technical Screen

Quick Answer: This question evaluates proficiency in SQL-based data manipulation and analytics, focusing on joins across event and reference tables, time-of-day bucketing and aggregation for CTR, boolean filtering, and date-based currency conversion for revenue.

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