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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?
Suggested Answer: C
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35 comments · newest first
RO
Roselle
11 months ago
Azure SQL Database isn't suited for streaming data like this.
ER
Erinn
11 months ago
Azure Databricks could work too, but it might be overkill for this.
JU
Junita
11 months ago
Wait, can it really minimize development effort? Sounds too good to be true.
JA
Janna
12 months ago
Totally agree, it handles time series data well!
EI
Eileen
12 months ago
I think Azure Stream Analytics is the best fit for real-time anomaly detection.
SH
Shayne
1 year ago
I have a vague recollection that Azure SQL Database isn't really designed for real-time anomaly detection. I think it might not meet the requirements effectively.
LI
Linn
1 year ago
I practiced a similar question where Azure Stream Analytics was the answer for streaming data. It makes sense to use it here too.
MI
Mirta
1 year ago
I'm not entirely sure, but I think Azure Databricks might be overkill for just detecting spikes and dips. It feels more complex than necessary.
RA
Rashida
1 year ago
I remember we discussed Azure Stream Analytics in class as a good fit for real-time data processing. It seems to align well with the requirements.
LI
Linwood
1 year ago
I'm leaning towards Azure Stream Analytics. It's a managed service that can easily connect to IoT Hub and Synapse, and it has built-in support for time series analysis and anomaly detection. Seems like the most straightforward solution to meet the requirements.
DE
Delsie
1 year ago
Azure SQL Database doesn't seem like the right fit for this use case. We need a solution that can handle streaming data and identify anomalies, which Azure SQL Database isn't really designed for.
LA
Lashawn
1 year ago
Hmm, I'm a bit unsure about this one. Azure Databricks could also work since it has strong time series analysis capabilities, but the requirement to minimize development effort might make Azure Stream Analytics the better option.
SE
Sean
1 year ago
This looks like a straightforward question. I think Azure Stream Analytics would be the best choice here since it's designed for real-time data processing and can easily integrate with Azure IoT Hub and Synapse.
VE
Veronika
1 year ago
Hmm, I'm not sure about this one. The log file doesn't seem to provide a clear indication of the specific event. I'll need to think through the different possibilities and try to eliminate the less likely options.
PA
Pamella
1 year ago
Azure Stream Analytics is the clear winner here. It's like the Ferrari of anomaly detection - fast, efficient, and built for the job.
AD
Adolph
1 year 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.
FA
Fatima
1 year ago
Let's go with Azure Stream Analytics for real-time processing power.
DA
Daniel
1 year ago
C) Azure Stream Analytics
AS
Ashley
1 year ago
B) Azure Databricks
FE
Felicitas
1 year ago
A) Azure SQL Database
VA
Valentin
2 years 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!
NU
Nu
1 year ago
Yeah, Azure Databricks might be too much for what we need. Let's stick with Azure Stream Analytics for now.
LI
Linsey
1 year ago
I think Azure SQL Database could work too, but Azure Stream Analytics seems like the best fit for this scenario.
JE
Jennie
1 year ago
I agree, Azure Stream Analytics is the way to go. It's simple and efficient.
ME
Melita
2 years 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.
MA
Matthew
2 years 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.
LU
Lucina
1 year ago
Databricks is more for big data processing, but Stream Analytics is better for real-time anomaly detection.
TY
Tyra
1 year ago
B) Azure Databricks
AN
An
1 year ago
That's a good choice. It can process the streaming data efficiently.
SH
Shalon
1 year ago
I agree, Azure Stream Analytics is the best choice for this scenario.
CL
Clarinda
1 year ago
C) Azure Stream Analytics
SH
Shantay
1 year ago
C) Azure Stream Analytics
LE
Lenita
2 years ago
Because it can process real-time data and easily detect anomalies in time series data.
LY
Lynelle
2 years ago
Why do you think that?
LE
Lenita
2 years ago
I think we should include Azure Stream Analytics in the solution.