Calculate DAU/MAU ratio per date

Last updated: September 23, 2025

Quick Overview

Write a query to compute DAU/MAU ratio grouped by date, handling edge cases like nulls and duplicates.

Scale AI
Data Manipulation (SQL/Python)
Data Scientist
Scale AI
September 23, 2025
Data Scientist
Onsite
Data Manipulation (SQL/Python)
Medium

3

7

133 solved


Write a query to compute DAU/MAU ratio grouped by date, handling edge cases like nulls and duplicates.

This question from Scale AI's Onsite tests practical data skills. The interviewer wants to see clean, efficient queries that handle edge cases like NULLs, duplicates, and large datasets.

What the Interviewer Expects
  • Use advanced SQL features: window functions, CTEs, subqueries
  • Write efficient queries that avoid common performance pitfalls
  • Handle complex data transformations with multiple joins and aggregations
  • Discuss indexing strategy and query optimization
  • Address data quality issues: duplicates, missing values, outliers
Key Topics to Cover
Aggregate functions and GROUP BY
Index optimization and query performance
Common Table Expressions (CTEs)
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 validate the correctness of your query results?
  • How would you handle this if the data was spread across multiple databases?
  • What indexes would you create to support this query?
  • What would you do if this query needs to run every 5 minutes?
Sharpen Your Skills on Codemia

Practice similar problems with our interactive workspace, get AI feedback, and track your progress.

Practice SQL Problems
Sample Answer
Approach

Break the problem into logical steps before writing SQL. Think about: 1. What tables do I need to join and on which keys? 2. What filtering (WHERE) d...

Solution Pattern

```sql WITH filtered_data AS ( SELECT * FROM main_table WHERE condition = 'value' AND date_col >= '2024-01-01' ), aggregated AS ( SELECT ...


Submit Your Answer
Markdown supported

Related Questions