Which statement describes the time-varying nature of data in IoT?

• A. Intelligence
• B. Connectivity
• C. Dynamic Nature
• D. Enormous Scale

Answer: (C)

Time-varying data in IoT is data that changes over time as sensors continuously collect measurements and events. This creates time-series streams where values rise and fall, often with timestamps to track trends, detect anomalies, or forecast conditions. The dynamic nature best captures this, since it speaks to data evolving rather than staying static. Intelligence is about analyzing and deriving insights from data, connectivity is about how devices link to networks, and enormous scale refers to the large number of devices or the volume of data—important concepts, but they don’t describe the evolving, time-based aspect of the data itself.