MongoDB Interview Questions and Answers
Based on the document-oriented NoSQL database, MongoDB is an open-source database management system (DBMS) that is used for high volume data storage. MongoDB is one of many non-relational database technologies that came up in the mid-2000s for use in big data applications and other processing jobs. Instead of using tables and rows as in other databases, MongoDB architecture uses documents and collections. We have an impressive collection of MongoDB Interview Questions and Answers that is a must-read for all developers!
| About MongoDB | |
|---|---|
| What is MongoDB | MongoDB is an open-source database management system (DBMS) that is used for high volume data storage. MongoDB is one of many non-relational database technologies that came up in the mid-2000s for use in big data applications and other processing jobs. |
| Latest Version | 6.0.1, released on 19th August 2022 |
| Created By | MongoDB Inc. |
| License | Various; see § Licensing |
| Written in | C++, Go, JavaScript, Python |
| Initial release date | 11 February 2009 |
Most Frequently Asked MongoDB Interview Questions
To list all indexes you can use db.items.getIndexes()
MongoDB is an open source database management system (DBMS) that is used for high volume data storage. MongoDB is one of many non-relational database technologies that came up in the mid-2000s for use in big data applications and other processing jobs. Instead of using tables and rows as in other databases, MongoDB architecture uses documents and collections.
MongoDB is used for high volume data storage. MongoDB is one of many non-relational database technologies that came up in the mid-2000s for use in big data applications and other processing jobs. MongoDB is more faster than others because it allows users to query in a different manner.
In MongoDB, a record is a document, which is a data structure composed of field and value pairs. It is similar to JavaScript Object Notation objects
Most developers prefer MongoDB over MySQL because MongoDB allows them to build applications quicker, handle diverse data types, and efficiently manage applications. The flexible data model in MongoDB ensures database schema evolves with business needs.
MongoDB was founded in 2007.
MongoDB originally dubbed “p”, the database was officially named MongoDB, with “Mongo” being short for the word humongous. After received many inputs about MongoDB, the company decided it scrap the Babble project and release MongoDB on its own as an open-source database platform in 2009.
| S.no | MySQL | MongoDB |
|---|---|---|
| 1. | Written in C, C++ | Written in C, C++, JavaScript |
| 2. | Data stored in tables | Data stored in JSON documents |
| 3. | Sses schemas for defining DB structure | Schema-free |
| 4. | Development and maintenance by Oracle Corp. | Development and maintenance by MongoDB, Inc. |
No. MongoDB is a non-relational database. Instead, it is document-oriented. This means, instead of storing data in tables, similar to a relational database, it stores data in individual documents.
In MongoDB, Binary Interchange and Structure Object Notation (BSON) objects are stored in a collection. The combination of collection and database names is called a namespace. All documents in MongoDB belong to a namespace.
An Index is a special structure in MongoDB. It stores a minimal portion of data belonging to a specific field in a form that is easy to traverse. This feature is ordered by the value of a field, which is pre-specified in the index.
The primary role of an Index is to offer great performance read operations for queries that are used frequently.
Development History of MongoDB
10gen software company started developing MongoDB in 2007 as one of the components of a platform as a service product. However, in 2009, the company moved to an open-source development model and changed its name to MongoDB Inc in 2013. The company made is first release public on February 2009.
Whether you are a fresher or an experienced MongoDB developer, these MongoDB interview questions and answers are all you need to succeed in your next interview.
Latest Version: The most recent version is 4.2.0, which was released in 13 August 2019.
Advantages
- Easy to install and setup.
- Schema-less database.
- Capable of deriving a document-oriented data model
- Secured and scalable.
- Full technical support.
Are you looking to impress your boss and grab the upcoming promotion at work? Here are the most common MongoDB interview questions to help you do that.