Databricks Data Engineer Professional Question 136
Select 3How does the Change Data Feed (CDF) in Delta Lake address past challenges in propagating updates and deletes within a Lakehouse architecture?
- A
CDF captures row-level changes, including updates and deletes, enabling downstream systems to process only the modified data.
- B
CDF requires full table scans for identifying changes, ensuring data consistency across the Lakehouse.
- C
CDF eliminates the need for custom change-tracking mechanisms by providing a native way to capture incremental changes.
- D
CDF supports streaming consumption of changes, allowing for real-time or near-real-time data processing.
- E
CDF automatically triggers updates and deletes in downstream systems without any additional configuration.
Show answer and explanation
Correct answers: A, C, D
Explanation
Change Data Feed (CDF) is a feature in Delta Lake that addresses historical challenges in propagating updates and deletes by natively capturing and exposing row-level changes in Delta tables. This eliminates the need for full table scans or custom change-tracking mechanisms and supports both batch and streaming consumption. It does not, however, automatically apply changes to downstream systems, as additional configurations or workflows are necessary for such operations.
- A. Correct.
Correct. CDF captures detailed row-level changes (insert, update, delete), which helps downstream systems avoid processing the entire dataset and instead focus only on the changes.
- B. Incorrect.
Incorrect. CDF does not require full table scans; it efficiently tracks changes, avoiding unnecessary overhead.
- C. Correct.
Correct. By natively tracking changes in Delta tables, CDF removes the need for custom logic or external tools to identify and propagate changes.
- D. Correct.
Correct. CDF supports streaming consumption, which enables downstream systems to process changes in real-time or near-real-time, improving data timeliness.
- E. Incorrect.
Incorrect. While CDF provides the data needed for updates and deletes, it does not automatically trigger these operations in downstream systems; additional configuration or workflows are required.