Final answer:
Real-time analytics are used in online fraud detection, IoT apps, and geo-fencing. These technologies enable instantaneous processing and analysis of data, which allows for quick action in various spheres. The correct answer to the use cases mentioned is 'all'.
Step-by-step explanation:
Real-time analytics use cases encompass a wide range of applications, including online fraud detection, IoT apps, and geo-fencing. These technologies provide the ability to instantaneously process and analyze data as it's being generated, allowing for immediate insights and action.
- Online fraud detection systems utilize real-time analytics to quickly identify and mitigate fraudulent activities as they happen.
- In the realm of IoT apps, real-time analytics play a crucial role in monitoring and managing devices, providing up-to-the-second information.
- With geo-fencing, real-time analytics allow for the creation of virtual boundaries that trigger responses when they are crossed by the appropriate subjects.
The correct answer to the student's question is d) all, meaning that all the options listed are indeed use cases for real-time analytics.