When migrating data to DBaaS on IBM Cloud, what practices ensure a smooth transition? (Select two)

Question

Options

• AIgnoring the security features of the DBaaS
• BEnsuring data is compatible and optimized for the target DBaaS
• CConducting thorough testing and validation post-migration
• DSelecting a DBaaS without considering the specific needs of the workload

• A
  19% (4)
• B
  71% (15)
• D
  10% (2)

Explanation

Ensuring data compatibility and optimization for the target DBaaS (B) is essential because schema differences, data types, or encoding mismatches between source and target systems can cause silent data corruption or failed migrations. Thorough testing and validation post-migration (C) confirms data integrity, application functionality, and performance benchmarks before going live - catching issues before users do. Options A and D are traps: ignoring security features exposes sensitive data during and after the transition, and choosing a DBaaS without matching it to your workload's needs (e.g., throughput, latency, compliance) leads to poor performance or cost overruns.

Memory tip: Think "Prepare, then Prove" - B is about preparing your data correctly, C is about proving the migration worked. Any answer that suggests skipping preparation or validation is always wrong.

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