SQL Essentials Practice Exam

SQL Essentials Practice Exam

SQL Essentials Practice Exam

SQL Essentials is about learning the foundation of Structured Query Language (SQL), which is the standard language used to work with databases. Databases are everywhere — from websites and apps to banking systems and online stores. This certification helps people understand how to organize, store, and retrieve information from databases using SQL.

By learning SQL Essentials, candidates gain the ability to write queries that pull data, update records, create new tables, and manage databases efficiently. It’s an important skill for anyone working with technology, business, or data, as it makes handling information faster and more accurate.

Who should take the Exam?

This exam is ideal for:

  • Data Analyst
  • Database Administrator
  • Business Analyst
  • Software Developer
  • IT Support Specialist

Skills Required

  • Logical thinking and problem-solving
  • Basic computer and data knowledge
  • Interest in working with information systems

Knowledge Gained

  • Understanding of relational databases
  • Writing SQL queries for data extraction
  • Creating and managing tables
  • Updating and deleting records safely
  • Applying SQL in real-world business and tech scenarios

Course Outline

The SQL Essentials Exam covers the following topics -

1. Introduction to Databases

  • What is a database?
  • Types of databases
  • Importance of SQL

2. Basics of SQL

  • Structure of SQL commands
  • Syntax and rules
  • Common SQL operations

3. Data Retrieval

  • SELECT statements
  • Filtering with WHERE
  • Sorting and ordering results

4. Working with Tables

  • Creating tables
  • Modifying table structure
  • Dropping tables

5. Data Manipulation

  • Inserting records
  • Updating data
  • Deleting rows

6. Joins and Relationships

  • Primary and foreign keys
  • INNER, LEFT, RIGHT, FULL joins
  • Combining data from multiple tables

7. Aggregations and Functions

  • COUNT, SUM, AVG, MIN, MAX
  • Grouping data with GROUP BY
  • Filtering groups with HAVING

8. Constraints and Data Integrity

  • NOT NULL, UNIQUE, DEFAULT
  • Primary and foreign key constraints
  • Ensuring accuracy of data

9. Advanced Queries

  • Subqueries
  • Nested queries
  • Using aliases

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