You have a C# application that process data from an Azure IoT hub and performs complex transformations. You need to replace the application with a real-time solution. The solution must reuse as much code as possible from the existing application.
Suggested Answer:C🗳️
Azure Stream Analytics on IoT Edge empowers developers to deploy near-real-time analytical intelligence closer to IoT devices so that they can unlock the full value of device-generated data. UDF are available in C# for IoT Edge jobs Azure Stream Analytics on IoT Edge runs within the Azure IoT Edge framework. Once the job is created in Stream Analytics, you can deploy and manage it using IoT Hub. References: https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-edge
Ans : A
Apache Spark in Azure Databricks supports C#.
Ref: https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/stream-processing
This seems to be correct answer as Databricks, as from the available options only Databricks have the support for C#. so the question says maximum reusability of the code, hence Databricks must be the correct answer. Thanks.
Azure synapse analytics
Azure Databricks is a big data analytics platform. While it's powerful, it may not be the most straightforward choice if the goal is to reuse existing C# code for real-time processing.
Given the requirements, Azure Stream Analytics is likely the most appropriate option for a real-time solution with the potential for code reuse.
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