Internet of Things (IoT) Practice Exam 2026 – Comprehensive Prep Resource

The attributes commonly associated with big data are volume, velocity, and variety.

Volume refers to the immense amount of data generated every second from various sources, including social media, IoT devices, and enterprise transactions. This characteristic emphasizes the sheer scale of data that organizations must process, store, and analyze.

Velocity pertains to the speed at which data is generated and needs to be processed. In today’s fast-paced digital environment, data is continuously streaming in, requiring real-time or near-real-time processing to extract valuable insights and respond to changing conditions rapidly.

Variety describes the different types of data that are generated—from structured data in databases to unstructured data such as text, images, and videos. This diversity presents challenges in terms of how to analyze and integrate the data effectively, making it crucial for organizations to manage and derive insights from multiple formats.

Together, these three attributes help define the framework and challenges of big data, guiding organizations in their data strategies and technological investments. The other options, while they address important aspects of data and IT infrastructure, do not encapsulate the fundamental characteristics that define big data in the same way.