Azure Stream Analytics is a PaaS event processing engine. Below given is the list of key features or benefits of using Azure Stream Analytics to process streaming data. From the list, choose the incorrect statement.

Answer options:

A.It eases writing complex time-based queries and aggregations over the data produced by connected devices, sensors, or applications.
B.Stream Analytics processes the data in real-time, empowering powerful insights that further help in real-time decision-making.
C.It enables writing and testing transformation queries in the Azure portal
D.Integration with Azure Blob storage
E.None of these

Correct Answer: D 
Integration with Azure Blob storage is not the main feature or benefit of using Azure Stream Analytics to process streaming data. The integration with Blob storage can be used for the processing of static data.
Option A is incorrect. Azure Stream Analytics eases writing complex time-based queries and aggregations over the data produced by connected devices, sensors, or applications.
Option B is incorrect. It is true that Stream Analytics processes the data in real-time, empowering powerful insights that further help in real-time decision-making.
Option C is incorrect. Azure Stream Analytics enables writing and testing transformation queries in the Azure portal.
Option D is correct. Integration with Azure Blob storage is not the main feature or benefit of using Azure Stream Analytics to process streaming data.
Option E is incorrect. The statement "Integration with Azure Blob storage” is incorrect.
Reference: 
To know more about processing Azure Stream Analytics, please visit the below-given link: 

https://docs.microsoft.com/en-us/learn/modules/introduction-to-data-streaming/4-process-events-azure-stream-analytics