
Databricks Certified Data Engineer - Associate
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You are designing a data pipeline in Azure Databricks to incrementally process data from a source table to a target table. The pipeline must ensure that the target table always reflects the latest changes from the source table, including updates, inserts, and deletes, without duplicating data. Additionally, the solution must be cost-effective and scalable to handle large volumes of data. Given these requirements, which command should you use and why? (Choose one option.)
You are designing a data pipeline in Azure Databricks to incrementally process data from a source table to a target table. The pipeline must ensure that the target table always reflects the latest changes from the source table, including updates, inserts, and deletes, without duplicating data. Additionally, the solution must be cost-effective and scalable to handle large volumes of data. Given these requirements, which command should you use and why? (Choose one option.)
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