Join clicks and products to find DAU/MAU ratio

Last updated: November 20, 2025

Quick Overview

Write a query joining clicks and events to produce the combined DAU/MAU ratio.

Expedia
Data Manipulation (SQL/Python)
Data Scientist
Expedia
November 20, 2025
Data Scientist
Onsite
Data Manipulation (SQL/Python)
Hard

186

7

3,356 solved


Write a query joining clicks and events to produce the combined DAU/MAU ratio.

Expedia asks this during the Onsite because data engineering skills are critical for the role. You should be comfortable with complex joins, window functions, CTEs, and performance optimization.

What the Interviewer Expects
  • Solve complex analytical problems with elegant, readable SQL
  • Optimize queries for large-scale datasets with partitioning and indexing
  • Use recursive CTEs, lateral joins, and advanced window functions
  • Design the data model alongside the query solution
  • Discuss trade-offs between SQL and programmatic approaches (Python/pandas)
  • Consider the operational aspects: query scheduling, incremental processing
Key Topics to Cover
Window functions (ROW_NUMBER, RANK, LAG, LEAD)
Pandas vectorized operations and groupby
Data cleaning and transformation
NULL handling and COALESCE
Index optimization and query performance
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
  • What would you do if this query needs to run every 5 minutes?
  • How would you optimize this query for a table with 100 million rows?
  • How would you handle this if the data was spread across multiple databases?
  • What indexes would you create to support this query?
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