In Snowflake, how does Time Travel feature assist in data retrieval and analysis?

Question

Options

• ALimits data access for specific user roles
• BAccelerates query performance significantly
• CEnables querying data as of a specific point in time
• DProvides real-time data updates

• A
  8% (3)
• B
  3% (1)
• C
  87% (33)
• D
  3% (1)

Explanation

Snowflake's Time Travel feature allows users to query historical data by specifying a past timestamp, statement ID, or offset - effectively letting you "travel back" to see what the data looked like at that exact moment, which is invaluable for auditing, recovering accidentally deleted/modified data, and point-in-time analysis.

Why the distractors are wrong:

• A - Access control is handled by Snowflake's RBAC (roles and privileges), not Time Travel.
• B - Time Travel adds no query acceleration; performance optimization is the job of clustering, caching, and virtual warehouse sizing.
• D - Real-time updates are a streaming/CDC concern; Time Travel is explicitly about historical snapshots, the opposite of real-time.

Memory tip: Think of Time Travel like a DVR rewind for your database - you can scrub back to any point within the retention window (1–90 days depending on edition) using AT or BEFORE clauses in your SELECT statement (e.g., SELECT * FROM my_table AT(timestamp => '2026-01-01')). If it sounds like a time machine for data, that's exactly what it is.

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