- A
Use AWS Snowball to transfer the database files to AWS and then restore to RDS.
Why wrong: Snowball is for bulk data transfer, not for minimal downtime migration.
- B
Use AWS Database Migration Service with full load and change data capture (CDC).
DMS with CDC minimizes downtime by replicating changes until cutover.
- C
Use Oracle Data Pump to export the database and import into RDS.
Why wrong: Data Pump export/import requires the database to be offline or in read-only mode during the process.
- D
Use AWS Schema Conversion Tool (SCT) to convert the schema and then use DMS for data migration.
Why wrong: SCT is not needed when migrating from Oracle to Oracle; schema conversion is unnecessary.
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 an on-premises Oracle database to Amazon RDS for Oracle. The database uses Oracle Data Pump for export/import. The migration must be completed within a short maintenance window. Which migration approach should they use?
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
Use AWS Database Migration Service with full load and change data capture (CDC).
Option A (Use AWS DMS with a full load + CDC) is correct because it minimizes downtime by capturing changes. Option B (Use Oracle Data Pump export/import) requires significant downtime. Option C (Use AWS SCT to convert schema and then use DMS) is unnecessary if staying on Oracle. Option D (Use AWS Snowball) is for large data transfers, not for minimal downtime.
Key principle: ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use AWS Snowball to transfer the database files to AWS and then restore to RDS.
Why it's wrong here
Snowball is for bulk data transfer, not for minimal downtime migration.
- ✓
Use AWS Database Migration Service with full load and change data capture (CDC).
Why this is correct
DMS with CDC minimizes downtime by replicating changes until cutover.
Related concept
Standard ACLs match source addresses.
- ✗
Use Oracle Data Pump to export the database and import into RDS.
Why it's wrong here
Data Pump export/import requires the database to be offline or in read-only mode during the process.
- ✗
Use AWS Schema Conversion Tool (SCT) to convert the schema and then use DMS for data migration.
Why it's wrong here
SCT is not needed when migrating from Oracle to Oracle; schema conversion is unnecessary.
Common exam traps
Common exam trap: ACLs stop at the first match
ACLs are processed top to bottom. The first matching entry wins, and an implicit deny usually exists at the end.
Detailed technical explanation
How to think about this question
ACL questions test precision: source, destination, protocol, port and direction. A generally correct ACL can still fail if it is applied on the wrong interface or in the wrong direction.
KKey Concepts to Remember
- Standard ACLs match source addresses.
- Extended ACLs can match source, destination, protocol and ports.
- The first matching ACL entry is used.
- There is usually an implicit deny at the end.
TExam Day Tips
- Check inbound versus outbound direction.
- Read the ACL from top to bottom.
- Look for a broader permit or deny above the intended line.
Key takeaway
ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.
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. ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement. 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.
Review ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related DBS-C01 ACL questions on filtering logic and placement.
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FAQ
Questions learners often ask
What does this DBS-C01 question test?
Deployment and Migration — This question tests Deployment and Migration — Standard ACLs match source addresses..
What is the correct answer to this question?
The correct answer is: Use AWS Database Migration Service with full load and change data capture (CDC). — Option A (Use AWS DMS with a full load + CDC) is correct because it minimizes downtime by capturing changes. Option B (Use Oracle Data Pump export/import) requires significant downtime. Option C (Use AWS SCT to convert schema and then use DMS) is unnecessary if staying on Oracle. Option D (Use AWS Snowball) is for large data transfers, not for minimal downtime.
What should I do if I get this DBS-C01 question wrong?
Review ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related DBS-C01 ACL questions on filtering logic and placement.
What is the key concept behind this question?
Standard ACLs match source addresses.
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Last reviewed: Jun 20, 2026
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