**Architectural Logic**: Error handling affects debuggability and caller experience. **TRY-CATCH**: Captures errors in block; enables cleanup or logging. **THROW** (SQL 2012+): Raises error; preserves call stack; use in CATCH to rethrow. **RAISERROR**: Legacy; custom messages;...
This easy-level SQL question appears frequently in data engineering interviews at companies like Kaseya. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (sql) will help you answer variations of this question confidently.
Start by clearly defining the core concept being asked about. Interviewers want to see that you understand the fundamentals before diving into implementation details. Structure your answer with a definition, then explain the practical application with a concise example.
Architectural Logic: Error handling affects debuggability and caller experience. TRY-CATCH: Captures errors in block; enables cleanup or logging. THROW (SQL 2012+): Raises error; preserves call stack; use in CATCH to rethrow. RAISERROR: Legacy; custom messages; doesn't preserve stack. Example: BEGIN TRY; INSERT ...; END TRY BEGIN CATCH; THROW; END CATCH. Why THROW: Better diagnostics; RAISERROR is deprecated for new code. Best Practice: Prefer THROW; use TRY-CATCH in procedures; log to error table; don't swallow without logging. Severity levels; avoid exposing internals to callers.
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Analyze My Answer β FreeAccording to DataEngPrep.tech, this is one of the most frequently asked SQL interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.