Your question is Diagnose SLA Bottlenecks with SQL. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Operational bottlenecks often sit across multiple tables, and standard dashboards may not expose where work is actually stalling. In analyst roles, you are often expected to write custom SQL against systems such as Broadcom Clarity or DX Operational Intelligence data stores to diagnose the issue quickly.
Explain a scenario where you had to write custom SQL queries to extract and analyze data to solve a critical operational bottleneck. Describe how you identified the right tables, how you used joins and aggregations to connect process steps, how you applied date logic to measure delays, and how you validated that the bottleneck you found was real rather than a data-quality artifact.
The interviewer is looking for a structured explanation, not just “I wrote a query.” You should cover the business problem, the SQL techniques you used, the metrics you calculated, how you interpreted the output, and what action the analysis enabled.