You use Azure Stream Analytics to receive Twitter data from Azure Event Hubs and to output the data to an Azure Blob storage account.
You need to output the count of tweets from the last five minutes every minute.
Which windowing function should you use?
To count tweets from the last five minutes every minute, the appropriate windowing function is the Hopping window. Hopping windows can overlap, allowing them to capture data points that span over a period while advancing at regular intervals. This means you can set a Hopping window to cover the last five minutes of data and 'hop' every minute to give an updated count. Other windowing functions like Tumbling, Sliding, and Session do not provide the same overlapping behavior needed for this continuous count.
Hopping Window is the correct answer
https://docs.microsoft.com/en-us/azure/stream-analytics/media/stream-analytics-window-functions/stream-analytics-window-functions-hopping-intro.png
Hopping
Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.
correct answer: D
So what is the answer?
I think C. Tumbling
Sorry. Looks like D now.
correct answer c only
Don't be ridiculous, doesn't help other people either. It's a hopping window as the windows will overlap.