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MongoDB Multiple Choice Questions (MCQs) and Answers

Master MongoDB with Practice MCQs. Explore our curated collection of Multiple Choice Questions. Ideal for placement and interview preparation, our questions range from basic to advanced, ensuring comprehensive coverage of MongoDB. Begin your placement preparation journey now!

Q121

Q121 How can you identify and terminate long-running operations in MongoDB?

A

Use the db.killOp() method with the operation ID

B

Restart the MongoDB server

C

Increase the server's processing power

D

Modify the application's code to limit execution time

Q122

Q122 What might cause an increase in the number of page faults in MongoDB?

A

Insufficient memory

B

Inefficient indexes

C

Network bottlenecks

D

High server load

Q123

Q123 If write operations in MongoDB suddenly become slower, what could be a primary reason?

A

Limited disk space

B

High server load

C

Inefficient write concern settings

D

Database schema changes

Q124

Q124 What is the purpose of the MongoDB Node.js driver?

A

To convert MongoDB data to Node.js formats

B

To facilitate communication between a Node.js application and MongoDB

C

To optimize Node.js performance

D

To provide additional security features for Node.js applications

Q125

Q125 How do you manage asynchronous operations in MongoDB when using Node.js?

A

Using callbacks

B

Using the async/await syntax

C

Using XMLHTTPRequest

D

Using synchronous operations

Q126

Q126 What is Mongoose in the context of Node.js and MongoDB?

A

A MongoDB GUI tool

B

A Node.js framework

C

An ORM for MongoDB in Node.js

D

A data validation library

Q127

Q127 What advantage does using the Mongoose library provide for Node.js applications working with MongoDB?

A

Improved database performance

B

Automated MongoDB installation

C

Simplified data modeling and validation

D

Enhanced security features

Q128

Q128 How does the use of schema in Mongoose benefit a MongoDB application in Node.js?

A

It enforces a rigid structure on the MongoDB database

B

It provides data validation and type casting

C

It increases the speed of MongoDB queries

D

It automatically encrypts sensitive data

Q129

Q129 In a Node.js application, how can you handle transactions with MongoDB?

A

Transactions are not supported in MongoDB with Node.js

B

Using the startTransaction method in the MongoDB Node.js driver

C

By manually managing state reversals on errors

D

Using middleware in Node.js

Q130

Q130 How do you connect to a MongoDB database from a Node.js application?

A

Using the MongoDB connection URI with the mongodb.connect() function

B

Using a special Node.js MongoDB library

C

Through direct socket programming

D

By configuring a Node.js environment variable

Q131

Q131 How can you perform a query to find all documents in a collection with a specific field value in MongoDB using Node.js?

A

Using the collection.find({field: value}) method

B

Using a SQL query syntax

C

By downloading all documents and filtering in Node.js

D

Using Node.js streams

Q132

Q132 How do you use an aggregation pipeline in MongoDB with Node.js?

A

Using the collection.aggregate([]) method

B

By sending raw MongoDB aggregation queries

C

Through a third-party Node.js library

D

Aggregation is not supported in MongoDB with Node.js

Q133

Q133 What is a common issue when a Node.js application cannot connect to a MongoDB database?

A

Incorrect database URI

B

Firewall restrictions

C

Outdated Node.js version

D

Server downtime

Q134

Q134 For troubleshooting slow queries in a MongoDB database accessed from a Node.js application, what should be primarily checked?

A

Checking for missing indexes

B

Analyzing the query execution plan

C

Increasing the server's memory

D

Reviewing server logs

Q135

Q135 What is MongoDB Atlas primarily used for?

A

Automated backup and recovery

B

Database scaling and management as a service

C

Real-time data analytics

D

Enhanced security features

Q136

Q136 How does MongoDB Atlas ensure high availability?

A

Through automated backups only

B

By using sharding

C

By replicating data across multiple availability zones

D

By encrypting data

Q137

Q137 What are the benefits of using MongoDB Atlas for handling big data?

A

It offers larger storage capacities only

B

It provides advanced data analysis tools and integrations

C

It offers scalability and flexibility in data processing

D

All of the above

Q138

Q138 In MongoDB Atlas, what is the purpose of VPC Peering?

A

To connect the MongoDB Atlas cluster to a private network

B

To increase the processing speed of the database

C

To reduce data storage costs

D

To provide additional security layers

Q139

Q139 How do you connect a MongoDB Atlas cluster to an application?

A

Using a standard MongoDB connection string with Atlas-specific details

B

Using a special Atlas API key

C

By configuring a direct database link

D

By downloading a connection driver from Atlas

Q140

Q140 How can you automate database scaling in MongoDB Atlas?

A

By setting automatic scaling triggers based on performance metrics

B

By manually resizing the cluster based on usage

C

By using third-party tools

D

Scaling is not automated in MongoDB Atlas

Q141

Q141 What might be a common reason for a connection failure to a MongoDB Atlas cluster from an application?

A

Incorrect connection string

B

Firewall or network configuration issues

C

MongoDB Atlas service downtime

D

Client-side configuration errors

Q142

Q142 When encountering latency issues with MongoDB Atlas, what is a crucial area to investigate?

A

Atlas cluster configuration

B

Network latency between the application and Atlas

C

Resource limitations on the application side

D

Database indexing strategies

Q143

Q143 What is the purpose of Change Streams in MongoDB?

A

To monitor changes in database schema

B

To stream real-time data updates to applications

C

To optimize database performance

D

To track user activities

Q144

Q144 How does the use of the Aggregation Framework improve querying in MongoDB?

A

By simplifying queries into a single step

B

By allowing complex transformations and data analysis

C

By automatically creating indexes

D

By reducing data redundancy

Q145

Q145 What is the benefit of using the Oplog in MongoDB replication?

A

It provides a history of all database operations

B

It speeds up replication between nodes

C

It allows for point-in-time recovery

D

All of the above

Q146

Q146 How does MongoDB ensure data durability and consistency in a distributed environment?

A

Through sharding

B

Via the write concern and read preference settings

C

By using only in-memory storage

D

By replicating data to multiple data centers

Q147

Q147 How do you implement a transaction in MongoDB?

A

Using the db.transaction() function

B

By starting a session with startSession() and using startTransaction()

C

By enabling transaction mode in the database configuration

D

Transactions are not supported in MongoDB

Q148

Q148 To optimize a query in MongoDB for improved execution time and efficiency, what is a primary tactic?

A

By adding appropriate indexes

B

By rewriting the query in a more efficient form

C

By using the explain() method to analyze query performance

D

Refining the data schema

Q149

Q149 What should be investigated first if a MongoDB query suddenly starts taking longer to execute than usual?

A

Database load and performance metrics

B

Network latency

C

The size and structure of the data

D

Query complexity

Q150

Q150 In a sharded MongoDB environment, what could be a reason for uneven data distribution across shards?

A

Incorrect shard key selection

B

Hardware disparities among shard servers

C

Network issues

D

All of the above

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