Developing Solutions for Microsoft Azure (AZ-204) Practice Exam 2026 - Free Azure Practice Questions and Solutions Guide

Azure Data Factory is a cloud-based data integration service that allows you to create data-driven workflows for orchestrating and automating data movement and data transformation. It enables you to construct systems that can extract data from various sources, transform that data as necessary, and load it into data stores.

The functionality of Azure Data Factory is primarily focused on the movement and preparation of data for analytics, ensuring that users can efficiently manage tasks involving large volumes of data and complex workflows. It allows for the scheduling of tasks, monitoring of data flows, and execution of ETL (Extract, Transform, Load) processes.

The other options, while relevant to Azure's overall capabilities, do not align with the primary purpose of Azure Data Factory. Building web applications relates to services like Azure App Services, managing virtual machines ties into Azure Virtual Machines, and examining application performance pertains to Azure Application Insights or Azure Monitor. Thus, the choice that directly corresponds to what Azure Data Factory enables is the creation of data-driven workflows.