Quick Overview

This question evaluates a candidate's understanding of core SQL concepts and data-manipulation competencies, covering the behavior of data-deletion operations, distinctions between logical and physical data structures, and join semantics.

Understand SQL: DELETE vs TRUNCATE, VIEW vs TABLE, CROSS JOIN

Company: Amazon

Role: Data Scientist

Category: Data Manipulation (SQL/Python)

Difficulty: medium

Interview Round: Technical Screen

employees +----+--------+---------+ | id | name | dept_id | +----+--------+---------+ | 1 | Alice | 10 | | 2 | Bob | 20 | | 3 | Carol | 10 | | 4 | Dave | 30 | +----+--------+---------+ ​ departments +---------+-------------+ | dept_id | dept_name | +---------+-------------+ | 10 | Sales | | 20 | Marketing | | 30 | Engineering | +---------+-------------+ ##### Scenario Amazon BIE interview: assessing SQL fundamentals and understanding of relational concepts. ##### Question Compare DELETE and TRUNCATE; when would you use each? Contrast a VIEW with a physical TABLE; what are pros/cons? What does a CROSS JOIN do, and in what real-world scenario would you apply it? ##### Hints Discuss transactional logging, constraints, persistence, and Cartesian product size considerations.

Overview: This question evaluates a candidate's understanding of core SQL concepts and data-manipulation competencies, covering the behavior of data-deletion operations, distinctions between logical and physical data structures, and join semantics.

You are interviewing for a BIE role and are being assessed on SQL fundamentals and relational concepts. 1) Conceptually compare DELETE and TRUNCATE: how do they differ in behavior (logging, constraints, triggers, rollback) and when would you use each? 2) Contrast a VIEW with a physical TABLE: what are the main pros/cons and use cases of each? 3) Using the tables below, write a SQL query that uses a CROSS JOIN to return all combinations of employees and departments, showing employee_id, employee_name, dept_id, and dept_name.

Tables

employees(id INTEGER, name VARCHAR, dept_id INTEGER)

departments(dept_id INTEGER, dept_name VARCHAR)

Hints

  1. Think about how DELETE logs each row change versus how TRUNCATE deallocates entire data pages.
  2. Consider how foreign keys and triggers might prevent or behave differently under TRUNCATE versus DELETE.

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