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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?

Show Suggested Answer Hide Answer
Suggested Answer: C

Contribute your Thoughts:

Pamella
1 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
1 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
3 days ago
Let's go with Azure Stream Analytics for real-time processing power.
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Daniel
6 days ago
C) Azure Stream Analytics
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Ashley
7 days ago
B) Azure Databricks
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Felicitas
16 days ago
A) Azure SQL Database
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Valentin
2 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
22 days 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
1 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
1 months ago
I agree, Azure Stream Analytics is the way to go. It's simple and efficient.
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Melita
2 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
2 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
10 days ago
Databricks is more for big data processing, but Stream Analytics is better for real-time anomaly detection.
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Tyra
16 days ago
B) Azure Databricks
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An
21 days ago
That's a good choice. It can process the streaming data efficiently.
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Shalon
1 months ago
I agree, Azure Stream Analytics is the best choice for this scenario.
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Clarinda
1 months ago
C) Azure Stream Analytics
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Shantay
1 months ago
C) Azure Stream Analytics
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Lenita
2 months ago
Because it can process real-time data and easily detect anomalies in time series data.
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Lynelle
3 months ago
Why do you think that?
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Lenita
3 months ago
I think we should include Azure Stream Analytics in the solution.
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