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DP-200 Exam - Question 196

You have to implement Azure Stream Analytics Functions as part of your data streaming solution.

The solution has the following requirements:

- Segment the data stream into distinct time segments that do not repeat or overlap

- Segment the data stream into distinct time segments that repeat and can overlap

- Segment the data stream to produce an output when an event occurs

Which of the following windowing function would you use for the following requirement?

`Segment the data stream into distinct time segments that do not repeat or overlap`

Show Answer
Correct Answer: D

D

You need to use the Tumbling windowing function for this requirement.

The Microsoft documentation mentions the following:

Tumbling window -

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.

Exam DP-200 Question 196

Since this is clearly given in the documentation, all other options are incorrect.

Reference:

https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions

Discussion

2 comments
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eng1
Jul 1, 2021

Hopping

Podavenna
Sep 17, 2021

Session window: Neither overlaps nor repeats Tumbling window: Repeats and does not overlap Hopping: Repeats and can overlap Sliding: Does not repeat but overlaps