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
Here in this article, we will be listing frequently asked MongoDB Interview Questions and Answers with the belief that they will be helpful for you to gain higher marks. Also, to let you know that this article has been written under the guidance of industry professionals and covered all the current competencies.
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.
A storage engine in MongoDB is a part of the database, which is responsible for managing and storing data on the disk. The two storage engines in MongoDB are WiredTiger and MMAPv1.
CRUD in MongoDB refers to the fundamental operations - Create, Read, Update, and Delete.
MongoDB uses the method of sharding for enabling deployments of large data sets and operations that demand high throughput. This method allows data to be stored across different machines.
In MongoDB, developers do not need to create a collection. It will get created automatically when a document will be inserted.
The syntax for creating a collection in MongoDB is: db.createCollection(name,options)
To drop a collection in MongoDB, connect to the database where you want to delete the collection.
Type the following command for deleting: db.collection_name.drop()
You can use the db.collection.createIndex() method for creating Indexes in MongoDB.
The command - db.dropDatabse() is used for drop databases in MongoDB.
The limit() method in MongoDB is used for limiting the records in different databases.
Yes. You can use GridFS function in MongoDB for storing as well as retrieving large files such as Images, audio files, and video files.
You can consider CouchDB, Cassandra, Riak, Redis, and HBase as some of the decent alternatives to MongoDB.
A Replica Set in MongoDB is a group of instances that maintain similar data sets. These type of sets are essential for production deployments as they offer high availability as well as good redundancy.
Yes. MongoDB 4.0 version provides complete multi-document ACID transaction support.
To list all indexes you can use db.items.getIndexes()