Optimize a slow query on impressions

Last updated: March 30, 2026

Quick Overview

A query on impressions is running slowly. Identify the bottleneck and optimize it.

Microsoft
Data Manipulation (SQL/Python)
Data Scientist
Microsoft
March 30, 2026
Data Scientist
Phone Screen
Data Manipulation (SQL/Python)
Hard

45

12

675 solved


A query on impressions is running slowly. Identify the bottleneck and optimize it.

Data manipulation questions at Microsoft test your ability to work with real-world datasets. This Phone Screen question evaluates your SQL proficiency, understanding of data modeling, and ability to derive insights from raw data.

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
Aggregate functions and GROUP BY
Date/time manipulation
Window functions (ROW_NUMBER, RANK, LAG, LEAD)
JOIN types and when to use each
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 optimize this query for a table with 100 million rows?
  • How would you handle this if the data was spread across multiple databases?
  • How would you handle slowly changing dimensions in this scenario?
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Practice SQL Problems
Sample Answer
Problem Understanding

The query in question is focused on obtaining insights from a dataset containing 'impressions', which likely includes user interactions with advertisements or content. The key data fields involved may...

Approach
  1. Identify the JOINs: Determine if there are any unnecessary JOINs that can be eliminated or optimized.
  2. Review Aggregations: Look at the GROUP BY clauses to ensure that they are efficient...

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