CERTIFIED-DATA-ENGINEER-PROFESSIONAL · Question #84
CERTIFIED-DATA-ENGINEER-PROFESSIONAL Question #84: Real Exam Question with Answer & Explanation
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Question
A Delta Lake table in the Lakehouse named customer_parsams is used in churn prediction by the machine learning team. The table contains information about customers derived from a number of upstream sources. Currently, the data engineering team populates this table nightly by overwriting the table with the current valid values derived from upstream data sources. Immediately after each update succeeds, the data engineer team would like to determine the difference between the new version and the previous of the table. Given the current implementation, which method can be used?
Options
- AParse the Delta Lake transaction log to identify all newly written data files.
- BExecute DESCRIBE HISTORY customer_churn_params to obtain the full operation metrics for
- CExecute a query to calculate the difference between the new version and the previous version
- DParse the Spark event logs to identify those rows that were updated, inserted, or deleted.
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