Which statement about Lakehouse capabilities is accurate?

• A. It stores only logs
• B. Combines data warehousing and data lake capabilities
• C. It is a separate service from data stores
• D. It cannot be queried

Answer: (B)

Lakehouse capabilities center on unifying data warehouse and data lake functionality in one platform. This means you get the best of both worlds: the ability to store large volumes of raw, diverse data (structured, semi-structured, and unstructured) like a data lake, together with fast SQL-based analytics, governance, and transactional reliability like a data warehouse. This combination lets you run analytics and BI on up-to-date data without moving data between separate systems, and it supports features such as ACID transactions, schema enforcement and evolution, and rich metadata management.

So, the statement that it combines data warehousing and data lake capabilities is the best fit. It’s not limited to storing only logs, it isn’t inherently a separate service from your data stores, and you can query the data using familiar SQL-based tools.