SQL Practice Exam

The SQL Fundamentals exam is designed to assess participants with essential skills in Structured Query Language (SQL), a standard programming language for managing and manipulating relational databases. Participants will learn how to write SQL queries to retrieve, update, and manage data stored in databases. The exam covers fundamental SQL concepts, including database design, data manipulation, data definition, and data control.

Skills Required

• Basic understanding of databases and data management concepts.
• Familiarity with basic programming principles (not mandatory but beneficial).
• Ability to comprehend and construct SQL queries.
• Proficiency in problem-solving and logical thinking.

Who should take the exam?

• Aspiring data analysts or data scientists looking to gain proficiency in SQL.
• Database administrators seeking to enhance their SQL skills.
• Software developers who need to interact with databases in their applications.
• Business professionals who want to leverage data for decision-making.

Course outline

The SQL exam covers the following topics :-

Module 1: Introduction to SQL

• Understanding Databases and SQL
• History and Evolution of SQL
• Overview of Relational Database Management Systems (RDBMS)

Module 2: SQL Basics

• Syntax and Structure of SQL Queries
• Retrieving Data with SELECT Statement
• Filtering Data using WHERE Clause
• Sorting Results with ORDER BY Clause
• Limiting and Paging Results

Module 3: Data Manipulation with SQL

• Inserting Data into Tables
• Updating and Deleting Records
• Modifying Table Structures with ALTER
• Using Transactions for Data Integrity

Module 4: Advanced Querying

• Joining Multiple Tables with INNER JOIN, LEFT JOIN, RIGHT JOIN
• Aggregating Data with GROUP BY and HAVING
• Working with Subqueries
• Common Table Expressions (CTEs)

Module 5: Data Definition Language (DDL)

• Creating and Managing Database Objects (Tables, Views, Indexes)
• Defining Constraints (Primary Key, Foreign Key, Unique)
• Understanding Data Types

Module 6: Data Control Language (DCL) and Security

• Granting and Revoking Permissions
• Managing User Access
• Ensuring Data Security and Integrity

Module 7: Practical Applications and Best Practices

• Optimizing Queries for Performance
• Handling Errors and Exception Handling
• Utilizing SQL in Real-world Scenarios

Module 8: Case Studies and Hands-on Projects

• Applying SQL Concepts to Real-world Datasets
• Designing and Implementing Database Solutions
• Project Presentations and Peer Review