Join products and transactions to find percentile rank

Last updated: January 7, 2026

Quick Overview

Write a query joining products and events to produce the combined percentile rank.

Palo Alto Networks
Data Manipulation (SQL/Python)
Data Scientist
Palo Alto Networks
January 7, 2026
Data Scientist
Take-home Project
Data Manipulation (SQL/Python)
Easy

174

5

3,702 solved


Write a query joining products and events to produce the combined percentile rank.

Data manipulation questions at Palo Alto Networks test your ability to work with real-world datasets. This Take-home Project 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
Date/time manipulation
Aggregate functions and GROUP BY
JOIN types and when to use each
Common Table Expressions (CTEs)
Pandas vectorized operations and groupby
NULL handling and COALESCE
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?
  • 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?
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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

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