A company manufactures automobile parts. The company installs IoT sensors on manufacturing machinery.
You must design a solution that analyzes data from the sensors.
You need to recommend a solution that meets the following requirements:
✑ Data must be analyzed in real-time.
✑ Data queries must be deployed using continuous integration.
✑ Data must be visualized by using charts and graphs.
✑ Data must be available for ETL operations in the future.
✑ The solution must support high-volume data ingestion.
Which three actions should you recommend? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Use Azure Analysis Services to query the data. Output query results to Power BI.

B. Configure an Azure Event Hub to capture data to Azure Data Lake Storage.

C. Develop an Azure Stream Analytics application that queries the data and outputs to Power BI. Use Azure Data Factory to deploy the Azure Stream Analytics application.

D. Develop an application that sends the IoT data to an Azure Event Hub.

E. Develop an Azure Stream Analytics application that queries the data and outputs to Power BI. Use Azure Pipelines to deploy the Azure Stream Analytics application.

F. Develop an application that sends the IoT data to an Azure Data Lake Storage container.




 

Suggested Answer: BCD



This question is in DP-201 Designing an Azure Data Solution Exam
For getting Microsoft Certified: Azure Data Engineer Associate Certificate



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