55 Fundamental SQL in Machine Learning Interview Questions in ML and Data Science 2026

SQL is a programming language specifically designed for managing, manipulating, and querying data stored in relational databases. In technical interviews, SQL questions assess a candidate’s understanding of database concepts, including data extraction, data manipulation, and database design. They often explore a candidate’s knowledge in creating complex queries, optimizing database performance, and understanding how to interact with data stored in a relational database.

Content updated: January 1, 2024

Basic SQL Skills for Machine Learning


  • 1.

    What are the different types of JOIN operations in SQL?

    Answer:

    INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN are different SQL join types, each with its distinct characteristics.

    Join Types at a Glance

    • INNER JOIN: Returns matching records from both tables.
    • LEFT JOIN: Retrieves all records from the left table and matching ones from the right.
    • RIGHT JOIN: Gets all records from the right table and matching ones from the left.
    • FULL JOIN: Includes all records when there is a match in either of the tables.

    Visual Representation

    SQL Joins

    Code Example: SQL Joins

    Here is the SQL code:

    -- CREATE TABLES
    CREATE TABLE employees (
        id INT PRIMARY KEY,
        name VARCHAR(100),
        department_id INT
    );
    
    CREATE TABLE departments (
        id INT PRIMARY KEY,
        name VARCHAR(100)
    );
    
    -- INSERT SOME DATA
    INSERT INTO employees (id, name, department_id) VALUES
      (1, 'John', 1), 
      (2, 'Alex', 2), 
      (3, 'Lisa', 1), 
      (4, 'Mia', 1);
    
    INSERT INTO departments (id, name) VALUES 
      (1, 'HR'), 
      (2, 'Finance'), 
      (3, 'IT');
    
    -- INNER JOIN
    SELECT employees.name, departments.name as department
    FROM employees
    INNER JOIN departments ON employees.department_id = departments.id;
    
    -- LEFT JOIN
    SELECT employees.name, departments.name as department
    FROM employees
    LEFT JOIN departments ON employees.department_id = departments.id;
    
    -- RIGHT JOIN
    SELECT employees.name, departments.name as department
    FROM employees
    RIGHT JOIN departments ON employees.department_id = departments.id;
    
    -- FULL JOIN
    SELECT employees.name, departments.name as department
    FROM employees
    FULL JOIN departments ON employees.department_id = departments.id;
    
  • 2.

    Explain the difference between WHERE and HAVING clauses.

    Answer:
  • 3.

    How would you write a SQL query to select distinct values from a column?

    Answer:
  • 4.

    What does GROUP BY do in a SQL query?

    Answer:
  • 5.

    How can you aggregate data in SQL (e.g., COUNT, AVG, SUM, MAX, MIN)?

    Answer:
  • 6.

    Describe a subquery and its typical use case.

    Answer:
  • 7.

    Can you explain the use of indexes in databases and how they relate to Machine Learning?

    Answer:
  • 8.

    How would you optimize a SQL query that seems to be running slowly?

    Answer:

Data Extraction and Transformation


  • 9.

    How do you handle missing values in a SQL dataset?

    Answer:
  • 10.

    Write a SQL query that joins two tables and retrieves only the rows with matching keys.

    Answer:
  • 11.

    How would you merge multiple result sets in SQL without duplicates?

    Answer:
  • 12.

    Create a SQL query to pivot a table transforming rows into columns.

    Answer:
  • 13.

    Explain the importance of data normalization in SQL and how it affects Machine Learning models.

    Answer:
  • 14.

    How can you extract time-based features from a SQL datetime field for use in a Machine Learning model?

    Answer:
  • 15.

    What are SQL Window Functions and how can they be used for Machine Learning feature engineering?

    Answer:
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