Crucial Exams

Microsoft Fabric Data Engineer Associate DP-700 Practice Question

You are designing a data pipeline in Microsoft Fabric that loads operational data into a Lakehouse-based star schema every hour. Dimension tables must retain type-2 history and use surrogate keys that stay unique across all incremental loads. Which action should you implement to prepare the dimension data before the fact tables are loaded?

  • Write the incoming dimension rows in append mode; let a GENERATED ALWAYS IDENTITY column assign surrogate keys automatically during the insert.

  • Overwrite the dimension table on every run by using a KQL dataflow that recreates the table from scratch.

  • Use a Delta Lake MERGE statement that matches on the business key, expires the current row, and inserts a new row that receives a new surrogate key whenever any tracked attribute changes.

  • Load the source table with COPY INTO and keep the original primary key from the operational system as the dimension key.

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