Join rides and impressions to find average revenue

Last updated: September 16, 2025

Quick Overview

Write a query joining rides and events to produce the combined average revenue.

Palo Alto Networks
Data Manipulation (SQL/Python)
Data Scientist
Palo Alto Networks
September 16, 2025
Data Scientist
Phone Screen
Data Manipulation (SQL/Python)
Medium

16

6

4,606 solved


Write a query joining rides and events to produce the combined average revenue.

This question from Palo Alto Networks's Phone Screen 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
Common Table Expressions (CTEs)
JOIN types and when to use each
Data cleaning and transformation
Aggregate functions and GROUP BY
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 indexes would you create to support this query?
  • How would you handle slowly changing dimensions in this scenario?
  • How would you validate the correctness of your query results?
  • What would you do if this query needs to run every 5 minutes?
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