Microsoft Fabric Data Engineer Associate DP-700 Practice Question

Your company already lands sensor readings in Delta Lake tables inside an existing Fabric Lakehouse. A new project must run ad-hoc KQL queries over the latest readings with sub-second latency, but the compliance team insists that no additional copies of the data are created. In Real-Time Intelligence, which storage option should you choose for the KQL database that will power the queries?

  • Export the Delta tables to Azure Blob Storage and re-ingest the files into a new native KQL database.

  • Set up mirroring for the Lakehouse so that the Delta tables are replicated into Real-Time Intelligence.

  • Ingest the data into a native KQL database table by connecting the Lakehouse as a source.

  • Create a shortcut in the KQL database that points to the Lakehouse Delta tables.

Microsoft Fabric Data Engineer Associate DP-700
Ingest and transform data
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