Databricks Data Engineer Professional Question 137
Select 3A data engineering team has been tasked with implementing a Lakehouse architecture for their organization's data platform. The team has struggled in the past with propagating updates and deletes to downstream systems in an efficient manner, often resulting in inconsistent data. How does Delta Lake's Change Data Feed (CDF) address these issues?
- A
CDF provides a mechanism to capture and query row-level changes, including inserts, updates, and deletes, without rewriting the entire table.
- B
CDF automatically replicates changes to downstream systems without requiring any additional configuration.
- C
CDF reduces the complexity of propagating updates and deletes by exposing only the changed data using change types like 'insert,' 'update,' and 'delete.'
- D
CDF allows downstream systems to query the change data incrementally, improving performance and reducing the need for full table scans.
- E
CDF ensures data consistency by automatically resolving schema conflicts between source and downstream systems.
Show answer and explanation
Correct answers: A, C, D
Explanation
Delta Lake's Change Data Feed (CDF) addresses challenges in propagating updates and deletes by providing a mechanism to track and expose row-level changes, including inserts, updates, and deletes. This enables incremental data processing and improves performance by reducing the need for full table scans. While CDF simplifies change propagation, it does not automatically replicate changes to downstream systems or resolve schema conflicts. Data engineers must still configure downstream systems to consume the change data as needed.
- A. Correct.
Correct. CDF captures and exposes row-level changes (inserts, updates, deletes) in a Delta table, eliminating the need to rewrite the entire table and making it easier to propagate changes.
- B. Incorrect.
Incorrect. While CDF provides the data required to propagate changes, it does not automatically replicate changes to downstream systems without additional configuration or processing.
- C. Correct.
Correct. CDF simplifies propagating changes by exposing only the modified rows along with the associated change types (insert, update, delete), reducing complexity for downstream systems.
- D. Correct.
Correct. CDF supports incremental queries for change data, which improves performance by avoiding full table scans and ensures only the necessary data is processed.
- E. Incorrect.
Incorrect. CDF does not handle schema conflicts automatically; schema evolution and resolution require manual configuration or other Delta Lake features.