**SQL:** SELECT dept_id, COUNT(DISTINCT city) city_count FROM ... GROUP BY dept_id ORDER BY city_count DESC, dept_id LIMIT 3. **Ties:** RANK() or DENSE_RANK(); filter r<=3. **Why:** Ranking semantics. **Production:** Clarify tie behavior.
This medium-level Python/Coding question appears frequently in data engineering interviews at companies like Freight Tiger. 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.
Break this problem into components. Identify the core trade-offs involved, then walk the interviewer through your reasoning step by step. Demonstrate awareness of edge cases and production considerations - this is what separates good answers from great ones.
SQL: SELECT dept_id, COUNT(DISTINCT city) city_count FROM ... GROUP BY dept_id ORDER BY city_count DESC, dept_id LIMIT 3. Ties: RANK() or DENSE_RANK(); filter r<=3. Why: Ranking semantics. Production: Clarify tie behavior.
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Analyze My Answer β FreeAccording to DataEngPrep.tech, this is one of the most frequently asked Python/Coding 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.