How do I approach Data Manipulation (SQL/Python) interview questions?

Data Manipulation (SQL/Python) questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master data manipulation (sql/python) interviews.

What difficulty level is this interview question?

This is a easy difficulty Data Manipulation (SQL/Python) question, commonly asked during Technical Screen rounds at Meta.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Meta during technical interviews.

Convert multi-currency revenue to USD totals

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's competency in converting multi-currency revenue into USD totals by aligning event dates with FX rates, handling missing rate data, and performing date-based aggregation to produce accurate US and global revenue figures, covering skills in currency conversion, time-aware joins, and data integrity for financial metrics. It is commonly asked to assess accuracy in time-series financial aggregations and proficiency with data manipulation tools and query logic, and is categorized under Data Manipulation (SQL/Python) with a practical application emphasis rather than purely conceptual theory.

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Convert multi-currency revenue to USD totals