MongoDB Interview Questions

Check out 30 of the most common MongoDB interview questions and take an AI-powered practice interview

NoSQLAggregationShardingReplica SetsAtlas
30+
Questions
12
Basic
13
Intermediate
5
Advanced
Q1

What is MongoDB and when should you use it?

BasicFundamentals
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Q2

How do you connect to MongoDB?

BasicConnections
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Q3

What are the basic data types in MongoDB?

BasicData Types
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Q4

How do you create and manage databases in MongoDB?

BasicDatabase Management
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Q5

What are tables/collections in MongoDB?

BasicTables & Schema
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Q6

How do you perform CRUD operations in MongoDB?

BasicCRUD Operations
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Q7

What are primary keys and foreign keys in MongoDB?

BasicKeys & Relationships
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Q8

How do you write basic queries in MongoDB?

BasicQueries
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Q9

What are joins/lookups in MongoDB?

BasicJoins & Relationships
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Q10

How do you handle NULL values in MongoDB?

BasicNULL Handling
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Q11

What are constraints in MongoDB?

BasicConstraints
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Q12

How do you import/export data in MongoDB?

BasicData Migration
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Q13

How do you optimize queries in MongoDB?

IntermediateQuery Optimization
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Q14

What is indexing in MongoDB?

IntermediateIndexing
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Q15

How do you handle transactions in MongoDB?

IntermediateTransactions
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Q16

What are stored procedures/functions in MongoDB?

IntermediateStored Procedures
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Q17

How do you implement data validation in MongoDB?

IntermediateValidation
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Q18

What is normalization/denormalization in MongoDB?

IntermediateNormalization
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Q19

How do you handle concurrent access in MongoDB?

IntermediateConcurrency
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Q20

What are triggers in MongoDB?

IntermediateTriggers
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Q21

How do you implement full-text search in MongoDB?

IntermediateSearch
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Q22

What is query execution plan in MongoDB?

IntermediateExecution Plans
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Q23

How do you handle large datasets in MongoDB?

IntermediateBig Data
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Q24

What are views in MongoDB?

IntermediateViews & Templates
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Q25

How do you monitor performance in MongoDB?

IntermediateMonitoring
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Q26

How do you implement sharding in MongoDB?

AdvancedSharding
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Q27

What is replication strategy in MongoDB?

AdvancedReplication
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Q28

How do you handle distributed MongoDB?

AdvancedDistributed Systems
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Q29

What are advanced optimization techniques in MongoDB?

AdvancedAdvanced Topics
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Q30

How do you implement high availability in MongoDB?

AdvancedHigh Availability
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Companies Hiring MongoDB

Google
Amazon
Microsoft
Meta
Netflix
Uber
PayPal
LinkedIn
Spotify
Airbnb

Salary Insights

Average in India
₹6-22 LPA

Frequently Asked Questions

What is MongoDB used for?

MongoDB is widely used for storing, managing, and retrieving data efficiently. It's valued for its performance, reliability, and extensive ecosystem.

How long does it take to learn MongoDB?

Learning MongoDB basics typically takes 1-3 months of dedicated study. Achieving proficiency requires 6-12 months of practice and real-world projects. Mastery comes with years of experience and continuous learning.

What are the job prospects for MongoDB developers?

MongoDB developers are in high demand across industries. With strong MongoDB skills, you can pursue roles in database administration, data engineering, with competitive salaries ranging from ₹6-22 LPA.

What prerequisites are needed for learning MongoDB?

Understanding of data structures and basic SQL are helpful prerequisites for learning MongoDB.

Which companies use MongoDB?

Major companies using MongoDB include Google, Amazon, Microsoft, Meta, Netflix, and many more. MongoDB is adopted across startups to enterprise organizations.

Introduction

Preparing for database interviews with MongoDB expertise? Database knowledge is fundamental for any developer working with data-driven applications.

MongoDB is widely used for data storage, retrieval, and management. Understanding its architecture, query optimization, and best practices is essential.

This guide covers MongoDB interview questions ranging from basic CRUD operations to advanced topics like indexing, replication, and performance tuning.

Whether you're a backend developer or data engineer, these questions will help you demonstrate strong database expertise.