Microsoft Fabric Data Engineer Associate DP-700 Practice Question
You are configuring a mirrored lakehouse in Microsoft Fabric to replicate data from an existing Azure SQL Database. During the table-selection step, the wizard flags several tables with a warning that they will be loaded only once and will not receive incremental updates after the initial snapshot.
You need these tables to stay in sync with future data changes without building additional pipelines. What should you do before creating the mirror?
Configure the mirror to use a shorter refresh interval so that changes are detected more frequently.
Enable automatic index tuning on the Azure SQL Database before you start the mirroring wizard.
Add a primary key to each table that is missing one in the source Azure SQL Database.
Create database-level triggers that write changes to a separate audit table and include that table in the mirror.
Fabric mirroring relies on change data capture (CDC) in the source Azure SQL Database to detect inserts, updates, and deletes after the initial bulk load. CDC requires each mirrored table to have a primary key so that row-level changes can be uniquely identified. If a table lacks a primary key, the wizard warns that it will be brought in by a one-time snapshot only. Adding a primary key to every such table allows CDC to track subsequent changes, enabling continuous synchronization without building custom triggers or additional pipelines. Altering index-tuning settings or mirror refresh frequency does not satisfy the CDC prerequisite, and writing custom triggers defeats the purpose of using built-in mirroring.
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Why is a primary key necessary for table mirroring with CDC in Microsoft Fabric?
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Microsoft Fabric Data Engineer Associate DP-700
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