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Exam DP-201 topic 2 question 29 discussion

Actual exam question from Microsoft's DP-201
Question #: 29
Topic #: 2
[All DP-201 Questions]

A company installs IoT devices to monitor its fleet of delivery vehicles. Data from devices is collected from Azure Event Hub.
The data must be transmitted to Power BI for real-time data visualizations.
You need to recommend a solution.
What should you recommend?

  • A. Azure HDInsight with Spark Streaming
  • B. Apache Spark in Azure Databricks
  • C. Azure Stream Analytics
  • D. Azure HDInsight with Storm
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️
Step 1: Get your IoT hub ready for data access by adding a consumer group.
Step 2: Create, configure, and run a Stream Analytics job for data transfer from your IoT hub to your Power BI account.
Step 3: Create and publish a Power BI report to visualize the data.
Reference:
https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-live-data-visualization-in-power-bi
by Yuri1101 at April 22, 2020, 8:05 p.m.

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azurearch
Highly Voted 5 years, 1 month ago
data is already collected from event hub as per question, hence stream analytics is correct
upvoted 33 times
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Deepu1987
Most Recent 4 years, 4 months ago
It's ASA - Azure Stream Analytics where it's fastest way to view real time data visualizations
upvoted 2 times
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chaoxes
4 years, 6 months ago
C. Azure Stream Analytics It is most efficient with Event Hubs
upvoted 2 times
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syu31svc
4 years, 6 months ago
It can only be stream analytics
upvoted 1 times
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runningman
5 years, 1 month ago
Is 'B' wrong/no good because it says Apache Spark with Databricks? If 'Databricks' was by itself, wouldn't that be an acceptable answer? Databricks can model and serve to BI.
upvoted 2 times
Abhilvs
5 years ago
Azure Databricks is suitable for complex analysis. With Strem analytics, one can query event data and perform the required analysis on it. upon the data can directly send to Power BI without any other interface between, SA has Power BI as an output stream.
upvoted 5 times
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Yuri1101
5 years, 2 months ago
The given reference is incorrect. Should use Event Hub. https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-tutorial-visualize-anomalies
upvoted 2 times
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C (25%)
B (20%)
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