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
September 23, 20253
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
How to Approach This
- Clarify the schema and expected output format before writing queries.
- Use CTEs (WITH clauses) to break complex queries into readable steps.
- Consider window functions (ROW_NUMBER, RANK, LAG, LEAD) for ranking and sequential analysis.
- Watch for NULLs, duplicates, and edge cases in JOINs and GROUP BY.
- 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?
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Practice SQL ProblemsSample Answer
Problem Understanding
The task is to compute the Daily Active Users (DAU) and Monthly Active Users (MAU) ratio per date. The data involved likely includes a user activity log with timestamps indicating when users were acti...
Approach
- Identify the Data Structure: Assume we have a table named
user_activitywith columnsuser_id(identifier for the user) andactivity_date(date of user activity). - Calculate DAU: U...