MongoDB MCQ (Multiple Choice Questions)

MongoDB MCQ - Multiple Choice Questions and Answers

Our 1000+ MongoDB MCQs (Multiple Choice Questions and Answers) focuses on all chapters of MongoDB covering 100+ topics. You should practice these MCQs for 1 hour daily for 2-3 months. This way of systematic learning will prepare you easily for MongoDB exams, contests, online tests, quizzes, MCQ-tests, viva-voce, interviews, and certifications.

MongoDB Multiple Choice Questions Highlights

- 1000+ Multiple Choice Questions & Answers (MCQs) in MongoDB with a detailed explanation of every question.
- These MCQs cover theoretical concepts, true-false(T/F) statements, fill-in-the-blanks and match the following style statements.
- These MCQs also cover numericals as well as diagram oriented MCQs.
- These MCQs are organized chapterwise and each Chapter is futher organized topicwise.
- Every MCQ set focuses on a specific topic of a given Chapter in MongoDB Subject.

Who should Practice MongoDB MCQs?

– Students who are preparing for college tests and exams such as mid-term tests and semester tests on MongoDB.
- Students who are preparing for Online/Offline Tests/Contests in MongoDB.
– Students who wish to sharpen their knowledge of MongoDB Subject.
- Anyone preparing for Aptitude test in MongoDB.
- Anyone preparing for interviews (campus/off-campus interviews, walk-in interview and company interviews).
- Anyone preparing for entrance examinations and other competitive examinations.
- All - Experienced, Freshers and College / School Students.

MongoDB Chapters

Here's the list of chapters on the "MongoDB" subject covering 100+ topics. You can practice the MCQs chapter by chapter starting from the 1st chapter or you can jump to any chapter of your choice.

  1. MongoDB and noSQL Concepts
  2. MongoDB Enterprise and Packages
  3. MongoDB CRUD Concepts and Operation
  4. Data Models
  5. GridFS, BSON Datatype and Administration Concepts
  6. Monitoring MongoDB and Optimization Strategies for MongoDB
  7. Production Checklist, Security Concepts and Network Security
  8. Aggregation Concepts and Aggregation Mechanics
  9. Index/Indexing Concepts
  10. Replication Concepts, Processes and Replication Set
  11. Sharding Concepts, Mechanics and Sharded Cluster

1. MongoDB and noSQL Concepts

The section contains multiple choice questions and answers on basics on mongoDB, big data and noSQL databases.

  • Introduction to MongoDB
  • Big Data and MongoDB
  • NoSQL Databases
  • 2. MongoDB Enterprise and Packages

    The section contains questions and answers on installation and mongoDB enterprise and packages.

  • Installation – 1
  • Installation – 2
  • MongoDB Enterprise – 1
  • MongoDB Enterprise – 2
  • MongoDB Packages
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    3. MongoDB CRUD Concepts and Operation

    The section contains MCQs on basics of mongoDB, test data generation, read and write operations, query performance analysis and CRUD basics.

  • Getting Started with MongoDB-1
  • Getting Started with MongoDB-2
  • Generate Test Data
  • CRUD Concepts
  • Read Operations-1
  • Read Operations-2
  • Write Operations
  • Analyze Query Performance
  • 4. Data Models

    The section contains multiple choice questions and answers on basics and concepts of data modelling, examples and patterns of data modelling, tree structures and atomic operations of data modelling and time and monetary modelling.

  • Data Modeling Introduction
  • Data Modeling Concepts-1
  • Data Modeling Concepts-2
  • Data Model Examples and Patterns
  • Model Tree Structures
  • Model Data for Atomic Operations
  • Model Monetary and Time
  • 5. GridFS, BSON Datatype and Administration Concepts

    The section contains questions and answers on gridFS, BSON, objectID basics, administration, backup, monitoring, database configuration and operational strategies of mongoDB.

  • GridFS
  • BSON
  • ObjectId
  • MongoDB Documents-1
  • MongoDB Documents-2
  • MongoDB Administration
  • Operational Strategies
  • MongoDB Backup
  • Monitoring for MongoDB
  • Run-time Database Configuration
  • MongoDB Maintenance
  • 6. Monitoring MongoDB and Optimization Strategies for MongoDB

    The section contains MCQs on capped and data collections, data production and management, optimization strategies and operational segregation.

  • Production MongoDB
  • Data Management
  • Operational Segregation
  • Capped Collections
  • Data from Collections
  • Optimization Strategies-1
  • Optimization Strategies-2
  • Optimization Strategies-3
  • 7. Production Checklist, Security Concepts and Network Security

    The section contains multiple choice questions and answers on system collection, authentication, authorization and database profiler, security checklist, API interfaces, kerberos authentication, user management and access control.

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  • System Collections
  • Database Profiler
  • Exit Codes and Statuses
  • Authentication
  • Authorization
  • Collection-Level Access Control
  • Network Exposure and Security
  • Security and MongoDB API Interfaces
  • Auditing
  • Kerberos Authentication
  • Security Checklist
  • Access Control
  • User and Role Management
  • 8. Aggregation Concepts and Aggregation Mechanics

    The section contains questions and answers on aggregation pipeline,commands, variables, operators and mechanics, pipeline operators, optimization and limits, pipeline, sharded and map reduce collections and different mapping charts.

  • Aggregation
  • Aggregation Pipeline
  • Map-Reduce
  • Aggregation Operations
  • Aggregation Mechanics
  • Pipeline Optimization
  • Pipeline Limits
  • Pipeline and Sharded Collections
  • Map-Reduce and Sharded Collections
  • Pipeline Operators-1
  • Pipeline Operators-2
  • SQL to Aggregation Mapping Chart
  • 9. Index/Indexing Concepts

    The section contains MCQs on index types, properties, creation, intersection, index management, strategies, methods and geospatial index.

  • Indexes In MongoDB
  • Index Types-1
  • Index Types-2
  • Index Types-3
  • Index Properties
  • Index Management
  • Geospatial Index
  • Text Search
  • Indexing Strategies
  • Indexing Methods
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    10. Replication Concepts, Processes and Replication Set

    The section contains multiple choice questions and answers on replication processes and maintenance, master and slave replication, replica set members, deployment architectures and availability, member configuration and troubleshooting.

  • Replication in MongoDB
  • Replica Set Members
  • Replica Set Deployment Architectures
  • Replica Set High Availability
  • Read and Write Semantics
  • Master Slave Replication
  • Replication Processes-1
  • Replication Processes-2
  • Replication Maintenance
  • Troubleshooting
  • Member Configuration
  • 11. Sharding Concepts, Mechanics and Sharded Cluster

    The section contains questions and answers on basics of sharding, sharding cluster maintenance, data management and troubleshooting, cluster architecture and deployment.

  • Sharding Introduction
  • Sharding Concepts
  • Cluster Architectures
  • Sharded Cluster Behavior
  • Sharding Mechanics
  • Cluster Deployment
  • Sharded Cluster Maintenance
  • Troubleshooting Sharded Cluster
  • Sharded Cluster Data Management-1
  • Sharded Cluster Data Management-2
  • If you would like to learn "MongoDB" thoroughly, you should attempt to work on the complete set of 1000+ MCQs - multiple choice questions and answers mentioned above. It will immensely help anyone trying to crack an exam or an interview.

    Wish you the best in your endeavor to learn and master MongoDB!

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    Manish Bhojasia - Founder & CTO at Sanfoundry
    Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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