In Snowflake, how does leveraging Time Travel contribute to handling data anomalies and ensuring data integrity?

Question

Options

• AValidates data types for consistency
• BRestricts data access for specific user roles
• CEnables querying data as of specific timestamps
• DProvides real-time data updates

• B
  7% (2)
• C
  90% (26)
• D
  3% (1)

Explanation

Snowflake's Time Travel feature works by retaining historical snapshots of your data, allowing you to query it AT or BEFORE a specific timestamp, statement ID, or offset - making it a powerful tool for detecting and recovering from data anomalies like accidental deletes or incorrect updates. Option C is correct because this time-based query capability is the core mechanism by which Time Travel addresses data integrity issues; you can pinpoint exactly what the data looked like before an anomaly occurred and restore it.

Why the distractors are wrong:

• A (validates data types): That's the job of schema constraints and data validation rules, not Time Travel.
• B (restricts access by role): That describes Role-Based Access Control (RBAC), a separate Snowflake security feature.
• D (real-time updates): Time Travel is retrospective, not prospective - it looks back in time, not forward in real-time.

Memory tip: Think of Time Travel like a DVR for your database - you can rewind and replay data at any past moment (up to 90 days on Enterprise), but it has nothing to do with who holds the remote or what's currently on live TV.

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