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Microsoft Exam DP-300 Topic 12 Question 95 Discussion

Actual exam question for Microsoft's DP-300 exam
Question #: 95
Topic #: 12
[All DP-300 Questions]

You are designing an anomaly detection solution for streaming data from an Azure IoT hub. The solution must meet the following requirements:

Send the output to an Azure Synapse.

Identify spikes and dips in time series data.

Minimize development and configuration effort.

Which should you include in the solution?

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Suggested Answer: C

by Craig at Jul 08, 2024, 09:14 AM

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Pamella
3 months ago
Azure Stream Analytics is the clear winner here. It's like the Ferrari of anomaly detection - fast, efficient, and built for the job.
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Adolph
3 months ago
Haha, Azure SQL Database? That's like trying to use a sledgehammer to crack a nut. Let's stick with the real-time processing power of Azure Stream Analytics.
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Fatima
2 months ago
Let's go with Azure Stream Analytics for real-time processing power.
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Daniel
2 months ago
C) Azure Stream Analytics
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Ashley
2 months ago
B) Azure Databricks
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Felicitas
2 months ago
A) Azure SQL Database
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Valentin
3 months ago
Hmm, Azure Databricks could also work, but it might be overkill for this simple use case. Gotta keep it simple, right? I'm Team Azure Stream Analytics!
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Nu
2 months ago
Yeah, Azure Databricks might be too much for what we need. Let's stick with Azure Stream Analytics for now.
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Linsey
3 months ago
I think Azure SQL Database could work too, but Azure Stream Analytics seems like the best fit for this scenario.
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Jennie
3 months ago
I agree, Azure Stream Analytics is the way to go. It's simple and efficient.
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Melita
3 months ago
I agree, Azure Stream Analytics is the way to go. It's designed for real-time analytics on streaming data, and the integration with Azure Synapse is a bonus.
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Matthew
4 months ago
Azure Stream Analytics sounds like the perfect fit for this use case. It can handle streaming data, identify anomalies, and integrate with Azure Synapse with minimal setup.
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Lucina
2 months ago
Databricks is more for big data processing, but Stream Analytics is better for real-time anomaly detection.
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Tyra
2 months ago
B) Azure Databricks
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An
2 months ago
That's a good choice. It can process the streaming data efficiently.
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Shalon
3 months ago
I agree, Azure Stream Analytics is the best choice for this scenario.
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Clarinda
3 months ago
C) Azure Stream Analytics
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Shantay
3 months ago
C) Azure Stream Analytics
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Lenita
4 months ago
Because it can process real-time data and easily detect anomalies in time series data.
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Lynelle
4 months ago
Why do you think that?
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Lenita
4 months ago
I think we should include Azure Stream Analytics in the solution.
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