Microsoft Fabric Data Engineer Associate DP-700 Practice Question
You are designing a nightly batch ingestion pattern in Microsoft Fabric that will load approximately 30 GB of structured data from an on-premises SQL Server. Analysts must query the data immediately by using familiar T-SQL. You need full ACID support and rely on automatically maintained statistics; you also want the option to create clustered columnstore indexes later for performance. Into which Fabric data store should you land the data first to best meet these requirements?
A Microsoft Fabric warehouse
A Real-Time Analytics Kusto database
A Fabric lakehouse backed by Delta tables in OneLake
A Microsoft Fabric warehouse is built on the Synapse SQL engine and stores data in open-format Parquet/Delta files. It offers full ACID transactional semantics, automatically maintains histogram-based statistics for query optimization, and allows you to create clustered columnstore indexes when additional compression or query performance is needed. Lakehouses, Eventstreams, and Real-Time Analytics databases are designed for different workloads and either do not provide the same level of T-SQL compatibility or lack the transactional guarantees required for this scenario.
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What are ACID transactional semantics in a Microsoft Fabric warehouse?
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How does Microsoft Fabric warehouse automatically maintain statistics for query optimization?
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Microsoft Fabric Data Engineer Associate DP-700
Ingest and transform data
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