$1.$ Explain the difference between descriptive and predictive analytics. Provide an example of how each can be applied in a business context, highlighting the tools used to implement them.

$2.$ Describe the architecture of an IoT system. Discuss the roles of sensors$,$ actuators, communication protocols, and IoT platforms in data collection and processing. How is IoT data typically analyzed in real$-$time?

$3.$ Identify three major security challenges associated with the deployment of IoT systems. What strategies can be implemented to mitigate these risks and ensure data privacy in IoT environments?

$4.$ Discuss the integration of IoT and Business Analytics. How does IoT data enhance business decision$-$making, and what frameworks are commonly used to analyze IoT data for business intelligence purposes?

$5.$ Provide a detailed example of an IoT application in a specific industry $($e$.$g$.,$ manufacturing, healthcare, or smart cities$).$ Explain how IoT is transforming the operations of businesses in that sector and the role of data analytics in optimizing performance