Use `try` / `except` / `else` / `finally`. **Example**: `try: x = 1/0\nexcept ZeroDivisionError as e: logging.error(e)\nelse: print("ok")\nfinally: resource.close()` **Why it matters**: Proper handling avoids cascading failures and enables cleanup. **Architectural implication**:...
Red Flag: Empty `except: pass` or catching `Exception` and not re-raising. Pro-Move: 'I catch specific exceptions, log with stack traces, use finally for connection cleanup, and have a top-level handler for unhandled exceptions in long-running services.'
This easy-level Python/Coding question appears frequently in data engineering interviews at companies like Altimetrik, Infosys. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (python) 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.
Use try / except / else / finally. Example: try: x = 1/0\nexcept ZeroDivisionError as e: logging.error(e)\nelse: print("ok")\nfinally: resource.close() Why it matters: Proper handling avoids cascading failures and enables cleanup. Architectural implication: Bare except: swallows all exceptions including KeyboardInterrupt—dangerous in production. Use specific exceptions and re-raise when needed. Scalability/cost: Poor handling can mask bugs and cause resource leaks (files, connections). Best practice: Log with context; use else for success-path code; use finally for deterministic cleanup.
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Analyze My Answer — FreeAccording to DataEngPrep.tech, this is one of the most frequently asked Python/Coding interview questions, reported at 2 companies. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.