Microsoft Certified: Azure Data Fundamentals (DP-900) Practice Test

Azure Data Factory (ADF) is primarily designed for data integration and orchestration across various data services. It facilitates the movement of data from different sources to destinations in a structured way, making data integration a core function. Additionally, ADF provides data transformation capabilities, allowing for data to be processed and transformed as it moves between sources and sinks using Data Flow and other activities.

When it comes to real-time data processing, ADF is more focused on batch processing, although it does support event-driven data movement through triggers. However, it does not align with true real-time data processing needs in the same way that other Azure services like Azure Stream Analytics do.

Data visualization, however, is not a function of Azure Data Factory. Visualization involves creating graphical representations of data, which is often done using tools like Power BI or Azure Synapse Analytics. ADF does not include capabilities for visualizing data directly; its purpose is to manage data workflow and integration instead. Thus, identifying data visualization as a function not associated with Azure Data Factory is accurate.