What are the core components of Microsoft Fabric's data platform architecture?

• A. OneLake storage, Fabric Lakehouse with Delta Lake tables, compute layers (Spark pools and SQL endpoints), and the Fabric Studio experiences for Data Engineering, Data Science, and Data Analytics
• B. OneLake storage only
• C. Fabric Lakehouse uses non-Delta storage
• D. Compute layers separate from storage with no integration

Answer: (A)

Microsoft Fabric’s data platform architecture revolves around four integrated pieces: OneLake storage as the universal repository, the Fabric Lakehouse built on Delta Lake tables for reliable, governed data, compute layers (Spark pools and SQL endpoints) that process data where it lives, and the Fabric Studio experiences for Data Engineering, Data Science, and Data Analytics that provide the targeted tooling for different roles. OneLake serves as the shared storage layer used across the platform, while the Lakehouse stores data as Delta Lake tables, enabling ACID transactions, schema enforcement, and unified governance. The compute layers are designed to work hand in hand with the Lakehouse, allowing scalable processing and querying through both Spark and SQL engines. Fabric Studio ties everything together by offering role-specific experiences that support ingestion, transformation, experimentation, and analysis. The combination of these four elements—storage, Delta Lake-based Lakehouse, integrated compute, and Studio experiences—best reflects how Fabric's data platform is built. The other options omit essential pieces or misstate how Delta Lake and compute integrate with storage.