Welcome to our interview preparation website! We provide comprehensive resources and guidance to help you prepare for interviews in various fields and courses. We understand that interviews can be nerve-wracking, which is why we are here to help you feel confident and prepared.

Java Programming

Java is a popular programming language that has been in use for more than two decades. It is widely used for building web applications, mobile applications, desktop applications, games, and more.

Apache Spark

Apache Spark is a fast and flexible open-source distributed computing system used for big data processing. It has become a popular technology in the big data space due to its fast processing speeds and ease of use.

Python Programming

Python is a high-level, interpreted programming language that has gained immense popularity due to its simplicity, versatility, and ease of use.


JavaScript is a popular programming language that is widely used for building web applications, games, and desktop applications.

Kafka Stream

Apache Kafka is a distributed streaming platform used for building real-time data pipelines and streaming applications. Kafka Streams is a client library that enables developers to write streaming applications using Java.

Scala Programming

Scala is a powerful programming language that runs on the Java Virtual Machine (JVM) and has gained popularity due to its ability to integrate with Java and support functional programming.


SQL (Structured Query Language) is a programming language used to manage relational databases. It is used to create, update, and query databases, and it is a crucial skill for anyone working with data.

Data Structure & Algorithm

Data structures and algorithms or DSA is the concept in programming that every programmer has to be perfect in, to create a code by efficiently making the best use of the available resources. Irrespective of the programming language, DSA is more of a general concept.


MongoDB is a document-oriented, NoSQL database that uses BSON (Binary JSON) to store data. It was first released in 2009 and has gained popularity due to its flexibility, scalability, and ease of use.