You have a large amount of sensor data stored in an Azure Data Lake Storage Gen2 account. The files are in the Parquet file format.
New sensor data will be published to Azure Event Hubs.
You need to recommend a solution to add the new sensor data to the existing sensor data in real-time. The solution must support the interactive querying of the entire dataset.
Which type of server should you include in the recommendation?

A. Azure SQL Database

B. Azure Cosmos DB

C. Azure Stream Analytics

D. Azure Databricks








 

Suggested Answer: C

Azure Stream Analytics is a fully managed PaaS offering that enables real-time analytics and complex event processing on fast moving data streams.
By outputting data in parquet format into a blob store or a data lake, you can take advantage of Azure Stream Analytics to power large scale streaming extract, transfer, and load (ETL), to run batch processing, to train machine learning algorithms, or to run interactive queries on your historical data.
Reference:
https://azure.microsoft.com/en-us/blog/new-capabilities-in-stream-analytics-reduce-development-time-for-big-data-apps/

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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