Microsoft Azure Data Engineer Certification (DP-203) 2025 – 400 Free Practice Questions to Pass the Exam

The purpose of an Azure Event Hub in stream processing is to receive and process large volumes of events. Azure Event Hubs is designed to handle the ingestion of high-throughput data from various sources, making it a critical component for applications that require real-time event processing. It serves as a highly scalable data streaming platform that can accept millions of events per second, allowing for efficient collection and distribution of event data to various services and applications.

In the context of stream processing, Event Hubs enables real-time analytics and processing by providing a mechanism to capture events as they occur. This functionality is vital for scenarios such as telemetry data collection, log data streaming, and monitoring applications, where immediate data processing can lead to timely insights and actions.

Other options do not align with the primary function of Azure Event Hubs. For instance, hosting static web applications and storing large datasets for machine learning tasks fall outside the scope of Event Hubs, focusing instead on specific application hosting and data storage utilities that Azure provides. Hybrid cloud data integration, while important in a broader context, is not the primary purpose of Event Hubs, which is distinctly focused on event ingestion and processing capabilities.