Slow SQL can delay dashboards, bot runs, and operational workflows in Automation Anywhere environments. Interviewers want to see whether you can diagnose the real bottleneck instead of giving generic advice.
You are asked to explain how you would optimize a slow-running PostgreSQL query that powers an Automation Anywhere reporting or control-room workflow. Walk through how you would investigate the query plan, identify whether the issue comes from joins, subqueries, CTE materialization, window functions, or heavy aggregations, and decide what to change first.
Go beyond “add an index.” Explain how you would use EXPLAIN (ANALYZE, BUFFERS), how data volume and cardinality affect join strategy, when to rewrite subqueries or CTEs, when window functions are appropriate, and what trade-offs you would mention before changing SQL or schema design.