Which Fabric experience is used to move and transform data?

• A. Data Warehousing
• B. Data Science
• C. Data Factory
• D. Data Integration

Answer: (C)

This question centers on how data is moved and transformed within Fabric. In Fabric, the Data Factory experience is built for data movement and transformation. It lets you create pipelines that copy data from various sources to destinations and apply transformations through data flows as part of the workflow, effectively handling ETL/ELT tasks.

Other options describe different aspects: Data Warehousing focuses on storing and organizing data for analysis; Data Science is about building models and extracting insights; Data Integration is a broader concept of merging data from multiple sources, but the explicit tool designed for orchestrating movement and transformation in Fabric is Data Factory.