Microsoft Fabric Data Engineer Associate DP-700 Practice Question

Your team ingests high-frequency IoT events into a Delta table named sensor_data in a Microsoft Fabric lakehouse. The pipeline appends thousands of 10-KB files every hour. Analysts run queries such as SELECT * FROM sensor_data WHERE device_id = 'abc' and say latency has grown to several minutes. You must improve query performance without changing the ingestion pattern. Which action should you perform?

  • Export the table to plain Parquet files and reload it with COPY INTO.

  • Run OPTIMIZE sensor_data ZORDER BY (device_id) in a Fabric notebook.

  • Enable Change Data Feed by setting the table property delta.enableChangeDataFeed = true.

  • Run VACUUM sensor_data RETAIN 0 HOURS to remove obsolete files immediately.

Microsoft Fabric Data Engineer Associate DP-700
Monitor and optimize an analytics solution
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