๐Ÿ“˜ SQL Theoretical Interview Questions

๐Ÿ“˜ SQL Theoretical Interview Questions

2 min read 342 words

๐Ÿ‘ฉโ€๐Ÿ’ผ Business Analyst (BA)

๐Ÿ”น SQL Fundamentals

  1. What is SQL, and what purpose does it serve in data management?
  2. Differentiate between a database and a database management system (DBMS).
  3. What are the main SQL sublanguages (DDL, DML, DCL, TCL, DQL)?
  4. What are some common uses of SQL in business analysis?
  5. Is SQL a programming language? Explain why or why not.

๐Ÿ”น Tables, Keys, and Relationships

  1. What is a table in a relational database?
  2. What are primary and foreign keys, and why are they important?
  3. Explain referential integrity in simple terms.
  4. What are normalization and denormalization, and why do they matter in reporting?
  5. What are aggregate functions and why are they useful in analysis?

๐Ÿ”น Analytical Concepts

  1. Whatโ€™s the difference between GROUP BY and HAVING?
  2. What is the order of SQL query execution and why does it matter?
  3. What is OLTP vs OLAP?
  4. How would you define and measure customer churn conceptually?
  5. What is ARPU (Average Revenue Per User)?
  6. How do you interpret retention and engagement in a dataset?

๐Ÿ“Š Data Analyst (DA)

๐Ÿ”น SQL Architecture & Commands

  1. What is the purpose of DDL (Data Definition Language)?
  2. Whatโ€™s the difference between DDL and DML commands?
  3. Explain COMMIT, ROLLBACK, and SAVEPOINT with examples.
  4. What are DCL commands (GRANT, REVOKE)?
  5. What are the most common SQL data types?
  6. Whatโ€™s the difference between CHAR, VARCHAR, and NVARCHAR?
  7. How do you handle NULL values in SQL?
  8. What are COALESCE() and ISNULL() used for?
  9. Explain basic string and date functions in SQL.
  10. What are the different types of SQL joins?

๐Ÿ”น Views, Subqueries, and CTEs

  1. What is a VIEW and why is it useful?
  2. Explain a subquery and how it differs from a CTE.
  3. What is a correlated subquery?
  4. What are recursive CTEs and when are they applied?

๐Ÿ”น Indexes & Optimization Basics

  1. What is an index?
  2. What are clustered and non-clustered indexes?
  3. What happens when you create too many indexes?
  4. Explain the concept of query optimization.

๐Ÿ”น Data Integrity & Constraints

  1. What is data integrity?
  2. What are constraints (NOT NULL, UNIQUE, CHECK) and why are they used?

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