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Exam DP-200 topic 2 question 44 discussion

Actual exam question from Microsoft's DP-200

Question #: 44
Topic #: 2

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

Show Suggested Answer

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

by imkoomin at March 30, 2021, 5:03 a.m.

Comments

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SankarMG

Highly Voted 3 years, 11 months ago

Hopping Window is the correct answer

upvoted 12 times

victor90

3 years, 6 months ago

https://docs.microsoft.com/en-us/azure/stream-analytics/media/stream-analytics-window-functions/stream-analytics-window-functions-hopping-intro.png

upvoted 1 times

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dumpi

Most Recent 3 years, 11 months ago

correct answer c only

upvoted 1 times

captainbee

3 years, 11 months ago

Don't be ridiculous, doesn't help other people either. It's a hopping window as the windows will overlap.

upvoted 7 times

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Sudhansu21

4 years ago

Hopping

upvoted 4 times

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kaigalmane

4 years ago

Sorry. Looks like D now.

upvoted 1 times

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kaigalmane

4 years ago

I think C. Tumbling

upvoted 1 times

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kaigalmane

4 years ago

So what is the answer?

upvoted 2 times

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Mily94

4 years, 1 month ago

correct answer: D

upvoted 3 times

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imkoomin

4 years, 2 months ago

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.

upvoted 3 times

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