The correct answer is Azure Stream Analytics.

Azure Stream Analytics is a fully managed real time analytics service that is built to ingest and process high velocity event streams with low latency. It offers a SQL like query language and built in windowing functions for event time processing and it integrates natively with Event Hubs and IoT Hub so it is the best fit for the scenario described.

Azure Databricks is a unified analytics platform based on Apache Spark and it excels at batch processing and advanced analytics. It can perform streaming with Spark Structured Streaming but it is not the serverless, purpose built service for simple low latency event stream analytics that the question asks for.

Google Cloud Dataflow is a managed stream and batch processing service on Google Cloud and it is not an Azure service, so it is not the correct choice for an Azure focused question.

Azure Synapse Analytics is an integrated analytics service that targets data warehousing and large scale analytical workloads. It can support streaming scenarios through additional components but it is primarily focused on big data analytics and not on being the dedicated real time event stream processor asked for here.

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