The answer is to increase the number of parallel load tasks in the AWS DMS task settings. This directly improves AWS DMS full load performance by splitting the data into multiple concurrent threads, each handling a subset of tables or partitions, which maximizes throughput by better utilizing source and target resources. On the AWS Certified Database Specialty DBS-C01 exam, this concept tests your understanding of DMS task tuning under the “Migration and Data Load” domain, where a common trap is to focus on instance size or network bandwidth instead of task-level parallelism. Remember the memory tip: “More threads, less dread” — parallel tasks are the primary lever for accelerating a full load, especially when CDC is already enabled and the bottleneck is the initial data transfer.
DBS-C01 Deployment and Migration Practice Question
This DBS-C01 practice question tests your understanding of deployment and migration. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Clue confirmation
The clue words "most likely", "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that 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.
Detailed technical explanation
How to think about this question
AWS DMS full load performance is governed by the 'MaxFullLoadSubTasks' setting, which defaults to 8. Increasing this value allows DMS to spawn more concurrent threads that each read from a table or a table partition using a SELECT statement with an ORDER BY clause and a LIMIT/OFFSET mechanism. The optimal number depends on source CPU, I/O, and network bandwidth; setting it too high can cause source contention or throttling. In real-world scenarios, a 2 TB database often contains many large tables, and increasing parallel tasks from 8 to 16 or 32 can reduce full load time by 40-60%.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Deployment and Migration — This question tests Deployment and Migration — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: 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.
What should I do if I get this DBS-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "most likely", "minimum / minimize". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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