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Deployment and MigrationmediumMultiple ChoiceObjective-mapped

DBS-C01 Deployment and Migration Practice Question

A company is migrating a 2 TB SQL Server database to Amazon RDS for SQL Server. They need to minimize downtime and are using AWS DMS with CDC. The migration is taking longer than expected during the full load phase. Which change would most likely improve the full load performance?

⚠ Common exam trap

Watch out — candidates often assume a larger target instance (Option C) is the universal performance fix, but AWS DMS full load performance is more commonly limited by the parallelism of the load tasks, not the target instance size, especially when the target can keep up with writes.

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

Increase the number of parallel load tasks in the DMS task settings

Increasing the number of parallel load tasks in the DMS task settings allows the full load to be split into multiple concurrent threads, each handling a subset of tables or partitions. This directly improves throughput by utilizing more of the available source and target resources, which is the most effective way to accelerate a slow full load phase when using AWS DMS with CDC.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Disable CDC to focus on full load only

    Why it's wrong here

    CDC is needed for minimal downtime; disabling it requires another full load.

  • Use AWS Schema Conversion Tool to optimize schema

    Why it's wrong here

    SCT is for schema conversion, not load speed.

  • Use a larger RDS instance class for the target

    Why it's wrong here

    Helps but not directly addressing DMS load parallelism.

  • Increase the number of parallel load tasks in the DMS task settings

    Why this is correct

    More parallel tasks can load data faster.

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