- A
Use AWS DMS with a full load and ongoing replication from Oracle to Aurora MySQL, then cut over.
DMS supports ongoing replication for cross-engine migrations, enabling minimal downtime and test-and-cutover.
- B
Use AWS Schema Conversion Tool (SCT) to convert the schema and then use AWS DMS for a one-time full load.
Why wrong: SCT converts schema but does not replicate ongoing changes; DMS full load does not support bidirectional replication.
- C
Use AWS DMS with Oracle GoldenGate as a source for continuous replication to Aurora MySQL.
Why wrong: AWS DMS cannot use Oracle GoldenGate as a source; it uses its own CDC mechanism.
- D
Use Oracle GoldenGate to replicate directly to Aurora MySQL, then cut over.
Why wrong: GoldenGate does not support Aurora MySQL as a target natively; it requires additional configuration.
Quick Answer
The correct choice is to use AWS DMS with a full load and ongoing replication from Oracle to Aurora MySQL, then cut over. This strategy minimizes downtime migration using AWS DMS with ongoing replication because it continuously captures and applies changes from the source Oracle database to the target Aurora MySQL instance, allowing you to test the target environment thoroughly before a brief cutover window. On the AWS Certified Database Specialty DBS-C01 exam, this scenario tests your understanding that AWS DMS supports heterogeneous migrations with change data capture (CDC), making it ideal for a test-and-cutover approach, while a common trap is assuming you need Oracle GoldenGate or the Schema Conversion Tool for replication—neither handles ongoing data movement in this context. Remember the key distinction: DMS handles the data flow, SCT handles the schema, and GoldenGate is a separate tool not integrated with DMS. A useful memory tip is "DMS for data, SCT for schema, GoldenGate for gold—but not together."
DBS-C01 Deployment and Migration Practice Question
This DBS-C01 practice question tests your understanding of deployment and migration. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 financial services company is migrating a 500 GB Oracle database to Amazon Aurora MySQL-Compatible Edition. The migration must have minimal downtime and support bidirectional replication for a test-and-cutover approach. The company currently uses Oracle GoldenGate for replication. Which migration strategy should be used?
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 DMS with a full load and ongoing replication from Oracle to Aurora MySQL, then cut over.
Option C is correct because AWS DMS supports ongoing replication from Oracle to Aurora MySQL, enabling a test-and-cutover approach with minimal downtime. Option A is wrong because the AWS Schema Conversion Tool (SCT) does not handle data replication. Option B is wrong because AWS DMS supports cross-engine migrations from Oracle to Aurora MySQL. Option D is wrong because AWS DMS cannot use Oracle GoldenGate as a source; GoldenGate is a separate replication tool that is not directly integrated.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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 DMS with a full load and ongoing replication from Oracle to Aurora MySQL, then cut over.
Why this is correct
DMS supports ongoing replication for cross-engine migrations, enabling minimal downtime and test-and-cutover.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
Use AWS Schema Conversion Tool (SCT) to convert the schema and then use AWS DMS for a one-time full load.
Why it's wrong here
SCT converts schema but does not replicate ongoing changes; DMS full load does not support bidirectional replication.
- ✗
Use AWS DMS with Oracle GoldenGate as a source for continuous replication to Aurora MySQL.
Why it's wrong here
AWS DMS cannot use Oracle GoldenGate as a source; it uses its own CDC mechanism.
- ✗
Use Oracle GoldenGate to replicate directly to Aurora MySQL, then cut over.
Why it's wrong here
GoldenGate does not support Aurora MySQL as a target natively; it requires additional configuration.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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. NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated. 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 the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DBS-C01 NAT questions on configuration and troubleshooting.
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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 — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Use AWS DMS with a full load and ongoing replication from Oracle to Aurora MySQL, then cut over. — Option C is correct because AWS DMS supports ongoing replication from Oracle to Aurora MySQL, enabling a test-and-cutover approach with minimal downtime. Option A is wrong because the AWS Schema Conversion Tool (SCT) does not handle data replication. Option B is wrong because AWS DMS supports cross-engine migrations from Oracle to Aurora MySQL. Option D is wrong because AWS DMS cannot use Oracle GoldenGate as a source; GoldenGate is a separate replication tool that is not directly integrated.
What should I do if I get this DBS-C01 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DBS-C01 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
5 more ways this is tested on DBS-C01
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company is migrating a 5 TB Oracle database to Amazon Aurora PostgreSQL. The database has a 4-hour maintenance window weekly. Which migration approach minimizes downtime?
medium- A.Use Oracle Data Pump to export and pg_restore to import.
- ✓ B.Use AWS Database Migration Service (DMS) with change data capture (CDC).
- C.Use AWS Schema Conversion Tool (SCT) to convert schema and then copy data.
- D.Use AWS DMS full load only and then manually sync.
Why B: Option B is correct because AWS DMS supports ongoing replication with minimal downtime. Option A is wrong because native export/import requires downtime. Option C is wrong because it adds unnecessary complexity. Option D is wrong because SCT is for schema conversion, not data migration.
Variation 2. A company is migrating a 5 TB PostgreSQL database to Amazon Aurora PostgreSQL. The database has complex stored procedures and triggers. The migration must be completed within a 30-minute downtime window. Which approach would meet the requirement?
hard- A.Use Database Migration Service (DMS) with validation only.
- ✓ B.Use AWS DMS with full load and ongoing replication, then perform a cutover.
- C.Use AWS SCT to convert the schema and then use pg_dump/pg_restore.
- D.Set up an Aurora read replica from the source PostgreSQL.
Why B: Option B is correct because AWS DMS with ongoing replication can keep the target in sync and then perform a cutover within minutes. Option A is wrong because AWS SCT is for schema conversion, not data migration. Option C is wrong because Aurora native replication only works from Aurora to Aurora. Option D is wrong because pg_dump/pg_restore would take longer than 30 minutes for 5 TB.
Variation 3. A company is migrating a 3 TB PostgreSQL database from on-premises to Amazon Aurora PostgreSQL. They need to minimize downtime and ensure that the migration is completed within a maintenance window. Which approach should they use?
medium- ✓ A.Use AWS DMS with full load and ongoing replication (CDC)
- B.Use AWS SCT to convert the schema and then migrate data
- C.Use pg_dump to export the database and pg_restore to import into Aurora
- D.Take a file system snapshot and restore to Aurora
Why A: AWS DMS with full load and ongoing replication (CDC) is the correct approach because it allows you to perform an initial full load of the 3 TB database while continuously capturing changes from the source PostgreSQL using logical replication (via the pglogical extension or native slot-based replication). This minimizes downtime by keeping the target Aurora PostgreSQL nearly synchronized, and you can switch over during a maintenance window with only a brief outage to apply any final lag.
Variation 4. A company is migrating a 500 GB PostgreSQL database from on-premises to Amazon Aurora PostgreSQL. The migration must have a recovery point objective (RPO) of less than 5 minutes and a recovery time objective (RTO) of less than 30 minutes. Which migration strategy should the company use?
hard- A.Create a read replica of the on-premises database and promote it.
- ✓ B.Use AWS DMS with full load and ongoing replication.
- C.Take a full backup using pg_basebackup and restore to Aurora.
- D.Use pg_dump to export the database and import into Aurora.
Why B: Option B is correct because AWS DMS with ongoing replication can achieve an RPO of less than 5 minutes by continuously replicating changes, and the RTO can be met by cutting over quickly. Option A is wrong because a full backup and restore has an RPO of hours. Option C is wrong because pg_dump export/import has an RPO of the time of the dump. Option D is wrong because creating a read replica from on-premises is not possible.
Variation 5. A company is moving a self-hosted MySQL database to Amazon Aurora MySQL. The current database uses InnoDB with full-text indexes and triggers. The migration must be done with zero downtime. Which approach meets these requirements?
hard- ✓ A.Use AWS DMS with ongoing replication from the source MySQL database
- B.Use mysqldump to export the database and import into Aurora
- C.Set up MySQL replication from on-premises to Aurora using native binlog replication
- D.Export data to Amazon S3 and use Aurora's LOAD DATA FROM S3 command
Why A: AWS DMS can migrate MySQL to Aurora MySQL with ongoing replication (CDC), supporting InnoDB tables, full-text indexes, and triggers. Option A fails because mysqldump causes downtime. Option B fails because Aurora does not support replication from external MySQL. Option D is incorrect because S3 bucket loading is not supported for MySQL.
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Last reviewed: Jun 20, 2026
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