Quick Answer
The answer is AWS Schema Conversion Tool (AWS SCT), AWS Database Migration Service (AWS DMS), and Amazon Aurora PostgreSQL as the target database. AWS SCT is essential for converting the Oracle schema—including stored procedures, functions, and data types—into PostgreSQL-compatible objects, handling the heterogeneous translation that manual rewriting would otherwise require. AWS DMS then performs the ongoing replication from the source Oracle database to Aurora PostgreSQL, enabling near-zero downtime by continuously applying changes through change data capture (CDC). On the AWS Certified Database Specialty DBS-C01 exam, this scenario tests your understanding of heterogeneous migrations and the distinction between schema conversion (SCT) and data movement (DMS), with a common trap being to select AWS Snowball or S3 Transfer Acceleration for ongoing replication—those are for bulk file transfer, not live database sync. To remember the trio, think “SCT for structure, DMS for data, Aurora for destination.”
This DBS-C01 practice question tests your understanding of management and operations. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 Aurora PostgreSQL. The migration must have minimal downtime and support ongoing replication. Which THREE services should the company use? (Choose 3.)
AWS Snowball Edge
Why wrong: Snowball is for offline data transfer, not live migration.
Amazon Aurora PostgreSQL
Target database for migration.
AWS DataSync
Why wrong: DataSync is for file transfers, not databases.
AWS Database Migration Service (AWS DMS)
DMS supports live migration and ongoing replication.
AWS Schema Conversion Tool (AWS SCT)
SCT converts schema from Oracle to PostgreSQL.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Amazon Aurora PostgreSQL
Option A is correct for schema conversion. Option B is correct for ongoing replication. Option C is correct for data migration. Option D is incorrect because it is for file transfer. Option E is incorrect because it is for large data transfer.
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
For each option: why learners choose it and why it is or isn't the right answer here.
AWS Snowball Edge
Why it's wrong here
Snowball is for offline data transfer, not live migration.
Amazon Aurora PostgreSQL
Why this is correct
Target database for migration.
Related concept
Standard ACLs match source addresses.
AWS DataSync
Why it's wrong here
DataSync is for file transfers, not databases.
AWS Database Migration Service (AWS DMS)
Why this is correct
DMS supports live migration and ongoing replication.
Related concept
Standard ACLs match source addresses.
AWS Schema Conversion Tool (AWS SCT)
Why this is correct
SCT converts schema from Oracle to PostgreSQL.
Related concept
Standard ACLs match source addresses.
Common exam traps
ACLs are processed top to bottom. The first matching entry wins, and an implicit deny usually exists at the end.
Detailed technical explanation
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.
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
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
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.
Management and Operations — study guide chapter
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FAQ
Management and Operations — This question tests Management and Operations — Standard ACLs match source addresses..
The correct answer is: Amazon Aurora PostgreSQL — Option A is correct for schema conversion. Option B is correct for ongoing replication. Option C is correct for data migration. Option D is incorrect because it is for file transfer. Option E is incorrect because it is for large data transfer.
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.
Standard ACLs match source addresses.
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Last reviewed: Jun 20, 2026
This DBS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DBS-C01 exam.
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