To orchestrate a data flow and prepare Dataflow Gen2, which workload is appropriate?

Prepare for the DP-700 Microsoft Fabric Data Engineer Exam with flashcards and multiple choice questions. Study with hints and explanations, and ensure success on your certification exam!

Multiple Choice

To orchestrate a data flow and prepare Dataflow Gen2, which workload is appropriate?

Explanation:
Orchestration and preparing Dataflow Gen2 fall under managing data pipelines and coordinating transformation steps. Data Factory is the service built for constructing and running data pipelines, scheduling them, and orchestrating activities like invoking data flows. Since Dataflow Gen2 transformations are executed as part of a pipeline, Data Factory provides the control plane to trigger, monitor, and retry these flows across different data sources and destinations. The other options focus on streaming analytics (real-time intelligence), storage and querying (data warehouse), or visualization (Power BI Desktop), none of which handle the orchestration and preparation of data flows. So Data Factory is the appropriate workload.

Orchestration and preparing Dataflow Gen2 fall under managing data pipelines and coordinating transformation steps. Data Factory is the service built for constructing and running data pipelines, scheduling them, and orchestrating activities like invoking data flows. Since Dataflow Gen2 transformations are executed as part of a pipeline, Data Factory provides the control plane to trigger, monitor, and retry these flows across different data sources and destinations. The other options focus on streaming analytics (real-time intelligence), storage and querying (data warehouse), or visualization (Power BI Desktop), none of which handle the orchestration and preparation of data flows. So Data Factory is the appropriate workload.

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