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Home / Interview Subjects / MongoDB
WithoutBook LIVE Mock Interviews MongoDB Related interview subjects: 24

Interview Questions and Answers

Know the top MongoDB interview questions and answers for freshers and experienced candidates to prepare for job interviews.

Total 27 questions Interview Questions and Answers

The Best LIVE Mock Interview - You should go through before interview

Know the top MongoDB interview questions and answers for freshers and experienced candidates to prepare for job interviews.

Interview Questions and Answers

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Freshers / Beginner level questions & answers

Ques 4

What is a NoSQL database?

NoSQL databases are databases that provide a mechanism for storage and retrieval of data that is modeled in ways other than the tabular relations used in relational databases.
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Ques 6

What is the significance of the ObjectId in MongoDB?

ObjectId is a 12-byte identifier typically employed as the primary key in a MongoDB document. It consists of a timestamp, machine identifier, process ID, and a random incrementing value.
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Ques 7

What is the purpose of the `findOne` method in MongoDB?

The `findOne` method in MongoDB is used to retrieve a single document that satisfies the specified query criteria. It returns the first document that matches the query.
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Intermediate / 1 to 5 years experienced level questions & answers

Ques 15

How does MongoDB provide high availability?

MongoDB achieves high availability through replica sets, where data is replicated across multiple servers. If one server goes down, another can serve the data.
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Ques 16

What is the role of the WiredTiger storage engine in MongoDB?

WiredTiger is the default storage engine in MongoDB. It provides features like compression, document-level locking, and support for multiple storage engines in the same MongoDB deployment.
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Ques 17

What is the significance of the Journal in MongoDB?

The Journal in MongoDB is a write-ahead log that helps in recovering data in case of a server crash or failure. It ensures data durability and consistency.
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Ques 18

Explain the process of data migration in MongoDB.

Data migration in MongoDB involves transferring data from one database or collection to another. It can be done using tools like `mongodump` and `mongorestore`.
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Ques 19

How can you create an index in MongoDB?

You can create an index in MongoDB using the `createIndex` method. For example, `db.collection.createIndex({ field: 1 })` creates an ascending index on the specified field.
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Experienced / Expert level questions & answers

Ques 21

How can you achieve ACID properties in MongoDB?

MongoDB sacrifices ACID properties for performance and scalability. However, it supports multi-document transactions in recent versions to some extent.
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Ques 23

Explain the concept of covered queries in MongoDB.

Covered queries are queries where all the fields in the query are part of an index, and the index itself can fulfill the query requirements, avoiding the need to fetch data from the actual documents.
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Ques 24

What is the role of the `$lookup` stage in MongoDB aggregation?

The `$lookup` stage is used in MongoDB aggregation to perform a left outer join between documents from the source and target collections based on a specified condition.
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Ques 26

How does MongoDB handle transactions?

MongoDB supports multi-document transactions starting from version 4.0. Transactions allow you to perform multiple operations on one or more documents and ensure atomicity and consistency.
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Ques 27

What is the Aggregation Pipeline in MongoDB?

The Aggregation Pipeline is a framework in MongoDB for data aggregation. It allows you to process data and transform it using a sequence of stages, such as `$match`, `$group`, and `$project`.
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