Mastering MongoDB Concepts

What is MongoDB primarily used for?

• Relational database for structured data

• Graph database for social networking

• In-memory data storage solution

• NoSQL database for unstructured data management

Which of the following is a feature of MongoDB?

• Column-family storage

• Document-oriented storage

• Key-value storage

• Graph database

What does CRUD stand for in database operations?

• Create, Read, Archive, Delete

• Construct, Read, Update, Destroy

• Create, Read, Update, Delete

• Create, Retrieve, Update, Remove

Which command is used to insert a document in MongoDB?

• createEntry()

• addDocument()

• uploadRecord()

• insertOne() or insertMany()

What is the primary data structure used in MongoDB?

• JSON

• XML

• CSV

• BSON

How do you update a document in MongoDB?

• Use insertOne(document) to add a new document.

• Use deleteOne(filter) to remove a document.

• Use find(filter) to retrieve documents.

• Use updateOne(filter, update, options) or updateMany(filter, update, options) methods.

What is a collection in MongoDB?

• A collection is a single document in MongoDB.

• A collection is a type of database in MongoDB.

• A collection is a method for querying data in MongoDB.

• A collection in MongoDB is a grouping of documents within a database.

Which of the following is true about indexes in MongoDB?

• Indexes improve query performance and can enforce uniqueness.

• Indexes slow down query performance.

• Indexes can only be created on string fields.

• Indexes are not necessary for large databases.

What is the purpose of the aggregation framework in MongoDB?

• To create indexes for faster queries.

• To perform data aggregation and analysis on collections.

• To store data in a relational format.

• To manage user authentication and permissions.

How can you improve query performance in MongoDB?

• Use a single collection for all data

• Store data in XML format instead of BSON

• Disable all indexes for faster writes

• Create indexes, optimize queries, use aggregation framework, and design data model effectively.