Microsoft Fabric Data Engineer Associate DP-700 Practice Question
You are creating a workspace in Microsoft Fabric for a team of analysts who will build multiple Dataflows Gen2 that ingest files from an AWS S3 bucket into OneLake every night. To ensure that each dataflow can automatically create its own staging and destination lakehouse without manual configuration, which workspace Data workflow setting should you enable before the analysts start building the dataflows?
Enable "Validate queries before saving dataflows".
Disable "Allow dataflows to create new items" and instruct authors to select existing lakehouses.
Enable "Auto create new lakehouse for dataflow output".
Enable "Use dataflow staging capacity during refresh".
When the "Auto create new lakehouse for dataflow output" setting is enabled in the Data workflow section of a Fabric workspace, every new Dataflow Gen2 published to that workspace automatically provisions a dedicated lakehouse as its destination and configures the required staging area. This eliminates the need for authors to pre-create or select a lakehouse manually. The other options control how dataflows are refreshed or validated but do not cause automatic lakehouse creation.
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Microsoft Fabric Data Engineer Associate DP-700
Implement and manage an analytics solution
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