DP-700 Microsoft Fabric Data Engineer Practice Exam

Which option best describes the Lakehouse data store in Fabric?

Optimized for unstructured data only Combines data warehousing and data lake capabilities Stores only raw CSV Is the same as OneLake

Correct Answer:

Combines data warehousing and data lake capabilities

Explanation:

The Lakehouse in Fabric is designed to merge the strengths of data lakes and data warehouses. It provides scalable storage for diverse data types—structured, semi-structured, and unstructured—while also offering SQL-based querying, metadata management, schema enforcement, and ACID transactions for reliable analytics. This combination lets you store raw data and curated, optimized data in one place and analyze it efficiently with governance features. So, it best describes a system that combines data warehousing and data lake capabilities. It’s not limited to unstructured data, not restricted to raw CSV files, and it isn’t just the same as OneLake—the Lakehouse sits on top of storage like OneLake to enable analytics.

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