Exam Databricks-Certified-Data-Engineer-Professional Topic 1 Question 38 Discussion

Actual exam question for Databricks's Databricks-Certified-Data-Engineer-Professional exam
Question #: 38
Topic #: 1
A data engineer is building a customer data pipeline in Lakeflow Spark Declarative Pipelines. The source is a cloud-based event stream with limited retention containing inserts, updates, and deletes for customer records. These changes are being applied using the AUTO CDC INTO syntax to maintain an SCD Type 1 table as the target table, customer_dim. How should the data engineer build a downstream job that streams from the customer_dim table to only act on updates and delete events, processing data incrementally?

Suggested Answer: B Vote an answer

Reading the change data feed from the customer_dim table enables downstream processing to react specifically to update and delete events while operating incrementally. Change data feed exposes row-level change types and versions, making it the correct mechanism for streaming only the relevant changes from an SCD Type 1 table maintained with AUTO CDC INTO.

by Lindsay at Aug 26, 2026, 11:06 AM

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