Home » Microsoft » DP-200 v.2 » Which windowing function should you use to perform the streaming aggregation of the sales data?
Which windowing function should you use to perform the streaming aggregation of the sales data?
A. Tumbling
B. Hopping
C. Sliding
D. Session
Correct Answer: A
Explanation/Reference:
Explanation:
Scenario: The analytic process will perform aggregations that must be done continuously, without gaps, and without overlapping.
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.
Incorrect Answers:
B, C: Like hopping windows, events can belong to more than one sliding window.
D: Session windows can have gaps.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions
