The answer is to use AWS DMS data validation. This feature automatically compares the source and target records by computing and matching checksums for each row during the migration, ensuring full data consistency without manual effort. For the AWS Certified Database Specialty DBS-C01 exam, this question tests your understanding that row count comparisons alone miss data corruption, while full-table checksums or random sampling are either too expensive or incomplete. A common trap is assuming a simple row count is sufficient, but DMS validation catches subtle differences like column-level mismatches. Remember the memory tip: “DMS validates, row counts fail” — always choose the built-in validation over manual checks when consistency is critical.
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 3 TB MySQL database to Amazon Aurora MySQL. They need to validate data consistency after migration. Which approach should they use?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use AWS DMS data validation feature.
Option C is correct because AWS DMS provides data validation to compare source and target data. Option A is wrong because comparing row counts is insufficient for consistency. Option B is wrong because checksums on all columns would be very expensive and time-consuming. Option D is wrong because querying random rows is not comprehensive.
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.
✗
Compare row counts between source and target tables.
Why it's wrong here
Row count comparison does not verify data content.
✓
Use AWS DMS data validation feature.
Why this is correct
DMS data validation compares source and target data using table-level checksums.
Related concept
Read the scenario before looking for a memorised answer.
✗
Run random SELECT queries on a subset of rows to compare values.
Why it's wrong here
Random sampling does not guarantee full data consistency.
✗
Compute MD5 checksums of the entire dataset in both databases.
Why it's wrong here
Computing checksums on large datasets is resource-intensive and impractical.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
Identify which DBS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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: Use AWS DMS data validation feature. — Option C is correct because AWS DMS provides data validation to compare source and target data. Option A is wrong because comparing row counts is insufficient for consistency. Option B is wrong because checksums on all columns would be very expensive and time-consuming. Option D is wrong because querying random rows is not comprehensive.
What should I do if I get this DBS-C01 question wrong?
Identify which DBS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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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