When migrating data to DBaaS on IBM Cloud, what strategy ensures a smooth transition and minimal downtime?

Question

Options

• AMigrating data in a single, large batch during peak business hours to expedite the process
• BUtilizing IBM Cloud Data Migration Service for secure and efficient data transfer
• CSelecting a DBaaS that is entirely different from the source database to explore new features
• DIgnoring data validation post-migration to save time

• A
  4% (2)
• B
  76% (38)
• C
  14% (7)
• D
  6% (3)

Explanation

IBM Cloud Data Migration Service (B) is purpose-built for exactly this scenario - it provides secure, efficient, and managed data transfer to DBaaS with features like encryption, validation, and minimal downtime, making it the correct enterprise-grade approach.

Why the distractors fail:

• A is the opposite of best practice - large batch migrations during peak hours maximize disruption and risk, not minimize it.
• C switching to a completely different database type during a migration compounds risk unnecessarily; platform changes should be evaluated separately from migration events.
• D skipping post-migration validation is dangerous - it's how silent data corruption or loss goes undetected until it causes production failures.

Memory tip: Think "right tool, right time, verify" - IBM's dedicated migration service (right tool) runs during off-peak windows (right time), and always validates afterward. Any answer that skips tooling, rushes timing, or omits validation is wrong.

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