You are designing an Azure Stream Analytics job to process incoming events from sensors in retail environments. You need to process the events to produce a running average of shopper counts during the

The correct answer is C. hopping. Unlike tumbling windows, hopping windows model scheduled overlapping windows. A hopping window specification consist of three parameters: the timeunit, the windowsize (how long each window lasts) and the hopsize (by how much each window moves forward relative to the previous http

Submitted by ngozi_ng· Mar 30, 2026Data Integration and Interoperability

Question

You are designing an Azure Stream Analytics job to process incoming events from sensors in retail environments. You need to process the events to produce a running average of shopper counts during the previous 15 minutes, calculated at five-minute intervals. Which type of window should you use?

Options

Asnapshot
Btumbling
Chopping
Dsliding

How the community answered

(39 responses)

A
3% (1)
B
5% (2)
C
79% (31)
D
13% (5)

Explanation

Unlike tumbling windows, hopping windows model scheduled overlapping windows. A hopping window specification consist of three parameters: the timeunit, the windowsize (how long each window lasts) and the hopsize (by how much each window moves forward relative to the previous https://docs.microsoft.com/en-us/stream-analytics-query/hopping-window-azure-stream-analytics

Topics

#hopping window#Stream Analytics windowing#running average#time-series aggregation

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