SELECT CASE WHEN age BETWEEN 0 AND 18 THEN '0-18' WHEN age BETWEEN 19 AND 35 THEN '19-35' WHEN age BETWEEN 36 AND 50 THEN '36-50' ELSE '51+' END AS age_group, COUNT(*) FROM people GROUP BY 1 ORDER BY 1. FLOOR(age/10)*10 for decades. Handle NULL; mutually exclusive buckets....
This easy-level General/Other question appears frequently in data engineering interviews at companies like TCS. While less common, it tests deeper understanding that distinguishes strong candidates.
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.
SELECT CASE WHEN age BETWEEN 0 AND 18 THEN '0-18' WHEN age BETWEEN 19 AND 35 THEN '19-35' WHEN age BETWEEN 36 AND 50 THEN '36-50' ELSE '51+' END AS age_group, COUNT() FROM people GROUP BY 1 ORDER BY 1. FLOOR(age/10)10 for decades. Handle NULL; mutually exclusive buckets. SCALABILITY: Index on age if filtered; materialize if frequent.
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Analyze My Answer — FreeAccording to DataEngPrep.tech, this is one of the most frequently asked General/Other 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.