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Microsoft Exam DP-700 Topic 2 Question 1 Discussion

Actual exam question for Microsoft's DP-700 exam
Question #: 1
Topic #: 2
[All DP-700 Questions]

You have a Fabric workspace that contains an eventstream named Eventstream1. Eventstream1 processes data from a thermal sensor by using event stream processing, and then stores the data in a lakehouse.

You need to modify Eventstream1 to include the standard deviation of the temperature.

Which transform operator should you include in the Eventstream1 logic?

Show Suggested Answer Hide Answer
Suggested Answer: D

To compute the standard deviation of the temperature from the thermal sensor data, you would use the Aggregate transform operator in Eventstream1. The Aggregate operator allows you to apply functions like sum, average, count, and statistical functions like standard deviation across a group of rows or events. This operator is ideal for operations that require summarizing or computing statistics over a dataset, such as calculating the standard deviation.


by Yen at Jan 14, 2025, 03:20 AM

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Claudia
12 days ago
I'm not sure, but I think Aggregate makes sense for this scenario.
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Dorathy
20 days ago
I agree with Diane. Aggregate is used for calculating standard deviation.
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Man
22 days ago
The answer is clearly D. Aggregate. Standard deviation is, like, the bread and butter of that transform. Unless they secretly added a 'Shimmer' or 'Glitter' transform, then I might be swayed. But Aggregate is the way to go.
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Hubert
5 days ago
Yes, D) Aggregate is the logical choice for adding the standard deviation to Eventstream1.
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Lachelle
5 days ago
I think so too. Aggregate is the transform operator that will help us include the standard deviation.
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Rutha
8 days ago
I agree, D) Aggregate is the right choice for calculating standard deviation.
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Diane
23 days ago
I think the correct transform operator is D) Aggregate.
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Corazon
28 days ago
D. Aggregate, for sure. That's the one that can handle all those fancy statistical functions. Now, if only they had an option for 'Jitter' or 'Sparkle' transforms, I'd be all over that.
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Troy
28 days ago
Hmm, I'd say 'Aggregate' is the way to go. It's perfect for calculating standard deviation, right? I mean, who doesn't love a good standard deviation calculation every now and then? It's like the cherry on top of the data processing sundae.
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Truman
8 days ago
Definitely! 'Aggregate' is essential for advanced data processing tasks like calculating standard deviation.
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Melvin
11 days ago
I agree, 'Aggregate' is the way to go for calculating standard deviation. It's a powerful operator for data processing.
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Truman
13 days ago
Yes, 'Aggregate' is the correct choice. It allows you to perform calculations like standard deviation on the data.
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