Microsoft Fabric Data Engineer Associate DP-700 Practice Question
You are designing a Microsoft Fabric solution to ingest a nightly 200-GB batch of structured sales data that lands in Azure Data Lake Storage Gen2. Analysts query the data in Power BI and need fully ACID transactions, time-travel auditing, and automatic index and statistics maintenance for complex T-SQL joins. Which Fabric data store should you load the sales data into to best satisfy these requirements?
A Microsoft Fabric Warehouse is a managed, SQL-based analytical store built on OneLake. Warehouses provide full ACID transaction support, time-travel (via delta logs), and an engine that automatically maintains indexes and statistics so complex T-SQL queries from Power BI run efficiently. A Lakehouse also offers ACID and time-travel through Delta Lake but does not manage relational indexes or statistics, making it less suitable when many joined queries are expected. A KQL database is optimized for log and time-series data rather than relational joins, and Azure Cosmos DB targets operational NoSQL scenarios, not large analytical fact tables queried with T-SQL.
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Microsoft Fabric Data Engineer Associate DP-700
Ingest and transform data
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