MongoDB

Database Management > MongoDB

MongoDB ➲ MongoDB - Quiz


  • A db.InitiateIndex()
  • B db.ensureIndex()
  • C db.initateIndex()
  • D All the Options
  • A Mutikey Index
  • B Compound Index
  • C Single Field Index
  • D All the Options
  • A db.initateIndex()
  • B db.getIndexes()
  • C db.ensureIndex()
  • D All the Options
  • A Single Field Index
  • B MutiKey Index
  • C Compound Index
  • D All the Options
  • A db.dropUser()
  • B db.dropsUsers()
  • C db.getUsers()
  • D All the Options
  • A db.dropUser()
  • B db.dropsUsers()
  • C db.getUsers()
  • D All the Options
  • A SQL
  • B NoSQL
  • C Relational
  • D Object-oriented
  • A SQL
  • B NoSQL
  • C Relational
  • D Object-oriented
  • A Java
  • B C++
  • C Python
  • D Ruby
  • A 2005
  • B 2007
  • C 2009
  • D 2011
  • A CSV
  • B XML
  • C JSON-like
  • D Plain text
  • A MIT License
  • B Apache License 2.0
  • C Server Side Public License
  • D GNU General Public License
  • A A database management system
  • B A cloud computing platform
  • C A mobile application development framework
  • D A social networking website
  • A 2007
  • B 2009
  • C 2011
  • D 2013
  • A 2015
  • B 2016
  • C 2017
  • D 2018
  • A MGDB
  • B MONG
  • C MDB
  • D MDOO
  • A San Francisco
  • B New York City
  • C Seattle
  • D Boston
  • A Relational
  • B Document-oriented
  • C Key-value
  • D Graph
  • A Founding member
  • B Supporting member
  • C Honorary member
  • D Advisory board member
  • A MongoDB Cloud
  • B MongoDB Atlas
  • C MongoDB Cloud Managed
  • D MongoDB Cloud Services
  • A Windows Vista and later, Linux, OS X 10.7 and later, Solaris, and FreeBSD
  • B Windows XP and later, Linux, OS X 10.6 and later, and Android
  • C Windows 7 and later, Linux, iOS 10 and later, and FreeBSD
  • D Windows 8 and later, Linux, OS X 10.8 and later, and Chrome OS
  • A To enforce strict data types
  • B To enforce strict data validation rules
  • C To allow for flexible data structures
  • D To allow for efficient indexing
  • A Amazon Web Services
  • B Google Cloud Platform
  • C Microsoft Azure
  • D Alibaba Cloud
  • A Improved performance
  • B Easier data querying
  • C More flexible data modeling
  • D Better data security
  • A Java
  • B C++
  • C JavaScript
  • D Python
  • A InnoDB
  • B MyISAM
  • C WiredTiger
  • D Btrfs
  • A Managed offering
  • B Self-hosted offering
  • C Shared hosting offering
  • D Virtual private server offering
  • A $
  • B &
  • C #
  • D @
  • A A group of related tables
  • B A group of related documents
  • C A group of related columns
  • D A group of related fields
  • A They can only be created on a single field
  • B They can be created on multiple fields
  • C They can only be created on a collection's primary key
  • D They are not supported in MongoDB
  • A A group of related tables
  • B A group of related documents
  • C A group of related columns
  • D A group of related fields
  • A $
  • B $
  • C #
  • D @
  • A A relational database management system
  • B A NoSQL document-oriented database
  • C A file storage system
  • D An operating system
  • A SQL
  • B Java
  • C Python
  • D All of the above
  • A Integer
  • B Date
  • C String
  • D All of the above
  • A 27017
  • B 3306
  • C 5432
  • D 1521
  • A SELECT
  • B UPDATE
  • C INSERT
  • D FIND
  • A A type of index
  • B A way to split a collection into multiple parts
  • C A way to sort documents in a collection
  • D A way to group documents in a collection
  • A To store large binary data, such as images or videos
  • B To store indexes for faster query performance
  • C To store backup files
  • D To store logs
  • A A set of related collections
  • B A set of related databases
  • C A set of related documents
  • D A set of related servers
  • A They are not supported in MongoDB
  • B They are supported in MongoDB starting from version 4.0
  • C They are only supported in MongoDB Atlas
  • D They are only supported in MongoDB Enterprise
  • A Stale reads
  • B Unauthorized access to database
  • C Denial of service attacks
  • D SQL injection attacks
  • A Inability to do collation-based sorting
  • B Inability to store binary data
  • C Inability to handle high traffic
  • D None of the above
  • A Snapshot read concern
  • B Read uncommitted
  • C Read committed
  • D Repeatable read
  • A Unauthorized access to database
  • B Denial of service attacks
  • C Retrocausal transactions
  • D SQL injection attacks
  • A Collection level locks
  • B Database level locks
  • C No locks were implemented
  • D All of the above
  • A MMAPv1
  • B WiredTiger
  • C Both and
  • D None of the above
  • A 2.2
  • B 2.6
  • C 3.0
  • D 3.6
  • A Cross-site scripting attacks
  • B Unauthorized access to database
  • C Denial of service attacks
  • D SQL injection attacks
  • A Binaries from official packages bind to localhost by default
  • B Networked connections to the database will be denied unless explicitly configured
  • C Both and
  • D None of the above
  • A Before version 2.2
  • B With version 2.2
  • C Since version 3.0
  • D None of the above
  • A Use sharding
  • B Use pessimistic concurrency control
  • C Use locking at the document level
  • D Use optimistic concurrency control
  • A Since version 2.2
  • B Since version 3.0
  • C Since version 3.3.11
  • D None of the above
  • A To allow anyone to have full access to the database
  • B To eliminate the phenomenon of documents being missed during queries against an index
  • C To address the issue of MongoDB returning stale reads
  • D None of the above
  • A Bind all networked connections to the database by default
  • B Allow anyone to have full access to the database
  • C Allow ransomware attacks to hold MongoDB servers hostage
  • D None of the above
  • A MongoDB could not do collation-based sorting
  • B Locks were implemented on a per-server process basis
  • C MongoDB could return stale reads
  • D Queries against an index were not atomic
  • A A mechanism to prevent concurrent writes to the same document
  • B A feature that allows multiple database instances to synchronize data
  • C A strategy to increase concurrency by temporarily releasing locks
  • D A mechanism to prevent data corruption during power outages