DRAG DROP
You have data generated by sensors. The data is sent to Microsoft Azure Event Hubs.
You need to have an aggregated view of the data in near real time by using five-minute tumbling windows to
identify short-term trends. You must also have hourly and a daily aggregated views of the data.
Which technology should you use for each task? To answer, drag the appropriate technologies to the correct
tasks. Each technology may be used once, more than once, or not at all. You may need to drag the spilt bar
between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:

Answer:

Explanation:
Box 1: Azure HDInsight MapReduce
Azure Event Hubs allows you to process massive amounts of data from websites, apps, and devices. The
Event Hubs spout makes it easy to use Apache Storm on HDInsight to analyze this data in real time.
Box 2: Azure Event Hub
Box 3: Azure Stream Analytics
Stream Analytics is a new service that enables near real time complex event processing over streaming data.
Combining Stream Analytics with Azure Event Hubs enables near real time processing of millions of events per
second. This enables you to do things such as augment stream data with reference data and output to storage(or even output to another Azure Event Hub for additional processing).

https://blogs.msdn.microsoft.com/kaevans/2015/02/26/using-stream-analytics-with-event-hubs/
https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-storm-develop-csharp-event-hub-topology