Join rides and users to find percentile rank

Last updated: May 14, 2026

Quick Overview

Write a query joining rides and transactions to produce the combined percentile rank.

MongoDB
Data Manipulation (SQL/Python)
Data Scientist
MongoDB
May 14, 2026
Data Scientist
Onsite
Data Manipulation (SQL/Python)
Easy

13

12

1,285 solved


Write a query joining rides and transactions to produce the combined percentile rank.

Data manipulation questions at MongoDB test your ability to work with real-world datasets. This Onsite question evaluates your SQL proficiency, understanding of data modeling, and ability to derive insights from raw data.

What the Interviewer Expects
  • Write syntactically correct SQL with proper JOIN and WHERE clauses
  • Use GROUP BY and aggregate functions appropriately
  • Handle NULL values correctly in your queries
  • Explain the query execution plan at a high level
Key Topics to Cover
NULL handling and COALESCE
Common Table Expressions (CTEs)
Window functions (ROW_NUMBER, RANK, LAG, LEAD)
Index optimization and query performance
Date/time manipulation
How to Approach This
  1. Clarify the schema and expected output format before writing queries.
  2. Use CTEs (WITH clauses) to break complex queries into readable steps.
  3. Consider window functions (ROW_NUMBER, RANK, LAG, LEAD) for ranking and sequential analysis.
  4. Watch for NULLs, duplicates, and edge cases in JOINs and GROUP BY.
  5. For pandas, prefer vectorized operations over row-by-row iteration.
Possible Follow-up Questions
  • How would you optimize this query for a table with 100 million rows?
  • How would you handle slowly changing dimensions in this scenario?
  • What would you do if this query needs to run every 5 minutes?
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