MongoDB Essentials: Key Concepts and CRUD Operations, Exams of Advanced Education

A concise overview of mongodb, a nosql document-oriented database. It covers key concepts such as data storage in json-like documents, scalability, availability, and flexibility. The document also outlines mongodb's features, including automatic failover, data redundancy, horizontal scalability through sharding, and support for ad-hoc queries. It details the differences between mongodb documents and json objects, highlighting mongodb's support for various data types. Additionally, it explains crud operations (create, read, update, delete) with code examples, compass key features, and the default mongodb port. Useful for students learning about nosql databases and mongodb's functionalities, offering a quick reference for understanding its architecture and operations.

Typology: Exams

2024/2025

Available from 05/18/2025

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FIT 2095 SECTION 4 TEST
MongoDB and benefits - ANSWER NoSQL open-source, cross-platform
document-oriented database program that uses JSON-like documents with
schemas.
- offers high scalability, availability, and flexibility.
How does mongoDB store data - ANSWER It stores data in JSON-like
documents, which means fields can vary from document to document and data
structure can be changed over time
MongoDB documents are similar to - ANSWER JSON objects
Benefits of Mongo DB - ANSWER High performance
High availability
- MongoDB's replication facility, called a replica set, provides:
automatic failover
data redundancy.
Horizontal scalability
- MongoDB provides horizontal scalability as part of its core functionality:
- Sharding distributes data across a cluster of machines.
- Supports creating zones of data based on the shard key.
Indexing
Supports Ad-Hoc queries
Rich query language
Match the term in mongoDB
Database:
Table:
Index:
Row:
Column: - ANSWER Database
Collection
Index
Document
Field
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FIT 2095 SECTION 4 TEST

MongoDB and benefits - ANSWER NoSQL open-source, cross-platform document-oriented database program that uses JSON-like documents with schemas.

  • offers high scalability, availability, and flexibility. How does mongoDB store data - ANSWER It stores data in JSON-like documents, which means fields can vary from document to document and data structure can be changed over time MongoDB documents are similar to - ANSWER JSON objects Benefits of Mongo DB - ANSWER High performance High availability
  • MongoDB's replication facility, called a replica set, provides: automatic failover data redundancy. Horizontal scalability
  • MongoDB provides horizontal scalability as part of its core functionality:
  • Sharding distributes data across a cluster of machines.
  • Supports creating zones of data based on the shard key. Indexing Supports Ad-Hoc queries Rich query language Match the term in mongoDB Database: Table: Index: Row: Column: - ANSWER Database Collection Index Document Field

MongoDB is a what database - ANSWER document database, which means that the equivalent of a record is a document or an object. MongoDB vs. JSON objects - ANSWER Compared to a JSON object, a MongoDB document has support not only for the primitive data types boolean, numbers, and strings, but also other common data types such as dates, timestamps, regular expressions, and binary data. What is the only requirement in MongoDB document - ANSWER The only requirement is that all documents in a collection must have a unique id, but the actual documents may have completely different fields. Does mongoDB require to define a schema for a collection - ANSWER No Compass key features - ANSWER Visually explore your data. Run ad hoc queries in seconds. Interact with your data with full CRUD functionality. View and optimize your query performance. Available on Linux, Mac, or Windows. Compass empowers you to make smarter decisions about indexing, document validation, and more. Default mongoDB port - ANSWER port 27017 Const mongodb = require('mongodb'); Const MongoClient = mongodb.MongoClient MongoClient.connect(p1,p2,p3) - ANSWER p1: MongoDB server URL p2: useNewUrlParser: true, required for the latest version of mongo p3: callback function (print err if error occurs or success if connected) function(err,client) Creating or inserting documents CRUD - ANSWER InsertOne(document) InsertMany(document,document) Retrieve documents - ANSWER findOne(filter) findMany(filter)