Microsoft Fabric Data Engineer Associate DP-700 Practice Question
Your company is implementing Microsoft Fabric Real-Time Intelligence (RTI) to analyze telemetry that already lands as Delta Lake files in an existing lakehouse. Business analysts must be able to run KQL queries over both historical records and newly-arriving data within seconds, but the data engineering team wants to avoid duplicating the files or maintaining separate ingestion pipelines. Which RTI storage approach should you use for this requirement?
Ingest the telemetry into RTI native storage and schedule a job to export it to the lakehouse.
Set up mirroring so the lakehouse Delta tables are continuously replicated into an RTI database.
Create an RTI table that uses a shortcut to the Delta files in the lakehouse.
Use both native storage and mirroring together to provide dual access paths to the data.
Shortcuts let an RTI database point to Delta Lake or Parquet files that already reside in OneLake or an external storage account. Because no copy of the data is made, analysts can query the lakehouse data with KQL almost immediately and engineers do not have to build a new ingestion pipeline.
Native storage would require streaming the telemetry directly into an RTI table, creating a second physical copy. Mirrored storage is designed for synchronizing data from supported operational stores such as Azure SQL Database or Cosmos DB and therefore does not fit a scenario where the source files already exist in Delta format.
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Microsoft Fabric Data Engineer Associate DP-700
Ingest and transform data
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