During month-end close, an organization must be able to reproduce the exact contents of its customer dimension table as they existed on the last calendar day of each month. The data engineering team therefore configures the cloud data warehouse to create a read-only copy of the table automatically at 23:59 on the final day of every month, while allowing the live table to continue receiving daily updates. No other historical images are kept. Which data versioning technique does this configuration implement?
Maintaining a geo-redundant replica of the database
Scheduling a 30-day refresh interval on a materialized view
Capturing row-level changes with change data capture (CDC)
The team is capturing point-in-time, read-only copies of the table on a fixed schedule; this is the hallmark of a snapshot. A snapshot freezes the dataset at a specific moment so it can be queried or restored later, even though the source continues to change. Setting a refresh interval governs how often a live object such as a materialized view is updated, but it does not preserve older states. Change data capture stores row-level deltas in logs rather than a full frozen view, and geo-redundant replication focuses on high availability rather than historical versions. Therefore, snapshotting is the correct data versioning mechanism in this scenario.
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CompTIA Data+ DA0-002 (V2)
Data Governance
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