Crucial Exams

Microsoft Fabric Data Engineer Associate DP-700 Practice Question

You are designing a batch ingestion solution in Microsoft Fabric for an IoT manufacturer. The sensors generate about 150 GB of semi-structured JSON files each day, and the company expects the data volume to reach multiple petabytes within a few years. Data engineers will use PySpark notebooks to clean and denormalize the data before it is loaded into a dimensional model for Power BI. Management requires the most cost-effective storage that still provides ACID transactions and supports schema evolution. Which Fabric data store should you recommend as the landing zone for the incoming files?

  • Provision a Fabric Warehouse and load the files directly into relational tables.

  • Create a Lakehouse and land the files in its unmanaged Delta tables.

  • Ingest the files into a Real-Time Analytics KQL database.

  • Use Mirroring to replicate the data from an external Azure SQL database into Fabric.

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