DEA-C02 Storage and Data Protection Practice Question
What is the result of increasing the DATA_RETENTION_TIME_IN_DAYS from 1 to 5 days on an existing table?
⚠ Common exam trap
Candidates frequently assume that increasing the retention period will retroactively 'recover' or make previously purged data available, which is incorrect as the change only applies to future data states.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The table begins retaining historical data for 5 days moving forward.
Increasing the retention period immediately updates the table's metadata. Going forward, Snowflake will begin retaining the historical data for 5 days instead of 1. This change does not retroactively 'create' historical data that has already been purged from the 1-day window; it only applies to the data state from the moment of the change onwards. This distinction is vital for planning data recovery and compliance audits.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
All data from the last 5 days becomes immediately accessible.
Why it's wrong here
Changing the parameter does not magically recover data that was already purged. If the retention was 1 day, data older than 24 hours has already been permanently cleaned up by background processes. Only data that exists from the time of the change will be kept for the new 5-day window.
- ✓
The table begins retaining historical data for 5 days moving forward.
Why this is correct
Increasing the retention setting tells Snowflake to hold onto data versions for the new, longer period starting from the time the parameter is updated. This allows for a longer Time Travel window for future data states, supporting the requirement to access historical data for analysis or recovery operations.
- ✗
The storage cost remains the same as it was.
Why it's wrong here
Increasing retention will inevitably increase storage costs over time. By holding more historical versions of data, the amount of data occupied on disk grows. Users must account for this increased storage footprint when extending retention, as it directly impacts monthly costs for the specific table and database.
- ✗
The change takes effect only after the next vacuum process.
Why it's wrong here
Snowflake does not have a manual 'vacuum' process. The configuration change updates the metadata immediately, and the background storage management system adjusts its behavior accordingly. The new retention policy is applied as soon as the ALTER TABLE command finishes, ensuring the update is effective without manual intervention.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Snowflake exam blueprint
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