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?

A. Sliding

B. Session

C. Tumbling

D. Hopping








 

Suggested Answer: D

Hopping window functions hop forward in time by a fixed period.
Incorrect Answers:
A: Sliding windows, unlike Tumbling or Hopping windows, output events only for points in time when the content of the window actually changes. In other words, when an event enters or exits the window.
B: Session window functions group events that arrive at similar times, filtering out periods of time where there is no data. A session window begins when the first event occurs. If another event occurs within the specified timeout from the last ingested event, then the window extends to include the new event. Otherwise if no events occur within the timeout, then the window is closed at the timeout.
C: Tumbling window functions are used to segment a data stream into distinct time segments. A Tumbling windows do not overlap, and an event cannot belong to more than one tumbling window.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions

This question is in DP-200 Microsoft Azure Data Engineer Exam
For getting Microsoft Certified: Azure Data Engineer Associate Certificate



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