Exam DP-200 topic 6 question 71 discussion

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 repeat and can overlap`

Suggested Answer: A 🗳️
You need to use the Hopping windowing function for this requirement.
The Microsoft documentation mentions the following:

Hopping window -
Hopping window functions hop forward in time by a fixed period. It may be easy to think of them as Tumbling windows that can overlap, so events can belong to more than one Hopping window result set. To make a Hopping window the same as a Tumbling window, specify the hop size to be the same as the window size.

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