Sql Interview Questions With Business Scenarios

Crack SQL interviews with confidence!

What you'll learn
Most popular MSSQL interview questions along with their solutions
Business scenarios of MSSQL interview questions
Important MSSQL concepts to use while working in industry
Best practices to follow along with what a MSSQL developer does in office
Connection between SQL and Artificial Intelligence

Requirements
Basic to intermediate level understanding of SQL, preferably in Microsoft products

Description
This course is based on SQL interview questions and answers for freshers as well as experienced professionals with examples of live SQL queries.Though Structured query language or SQL is ~50 years old but Microsoft SQL Server came into existence in the late 80s. Nowadays, we use SQL Server Management Studio, i.e., SSMS to write SQL queries (also called T-SQL) and after the advent of its cloud computing offering called Microsoft Azure, role of SSMS has been extended as it can connect to Azure SQL and Azure Synapse servers and run SQL queries.You can register for this course if you want to know the MSSQL Interview Questions based on popular concepts like Common Table Expressions (also known as CTEs), Joins (Like Inner Join, Left Join), Subquery, Distinct, Top, Pivot and Unpivot in SQL, Store Procedures etc. along with their possible business scenarios. Although SQL is quite common topic in data analyst courses and it is an important part of data engineering roadmap (as you can use SQL in Databricks too!), full stack developers and software testers are also required to know the concepts of relational database and SQL.Additionally, we have a section dedicated to SQL with Artificial Intelligence, in which we discuss about using tools like ChatGPT and Copilot for T-SQL development purpose as it will give you an edge over others when either you appear in any interview or write code for your organization!Let us start SQL practice to do well in the interviews!

Who this course is for:
Beginner to intermediate level data analysts, data engineers, software developers and other IT professionals with background in SQL