Quick Answer
The answer is AWS Database Migration Service (DMS) with CDC and AWS Glue Schema Registry. DMS with CDC captures ongoing changes from on-premises Oracle in near real-time by reading the database’s redo logs, while Glue Schema Registry manages schema evolution by storing and validating the structure of incoming data against a central registry, ensuring that changes like new columns or altered data types are handled without breaking the pipeline. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of combining a CDC-capable migration service with a schema management tool, and a common trap is confusing Kinesis or AppFlow for database CDC—Kinesis is for streaming application data, not direct database logs, and AppFlow is limited to SaaS sources. A useful memory tip is to think of DMS as the “log reader” and Glue Schema Registry as the “structure keeper” for evolving data.
This DEA-C01 practice question tests your understanding of data ingestion and transformation. 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 data engineer is building a pipeline to ingest data from an on-premises Oracle database into Amazon S3. The pipeline must capture change data (CDC) in near real-time and handle schema changes. Which TWO AWS services should the engineer use?
AWS Glue Schema Registry
Manages schema evolution for streaming data.
AWS Snowball Edge
Why wrong: Snowball is for large batch transfers.
Amazon AppFlow
Why wrong: AppFlow is for SaaS applications.
Amazon Kinesis Data Streams with Kinesis Agent
Why wrong: Kinesis Agent is for log files, not database CDC.
AWS Database Migration Service (DMS) with CDC
DMS captures ongoing changes from Oracle.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
AWS Glue Schema Registry
Options A and D are correct. AWS DMS with CDC captures ongoing changes, and AWS Glue Schema Registry handles schema evolution. Option B (Kinesis) is not for database CDC. Option C (Snowball) is batch. Option E (AppFlow) is for SaaS, not on-prem databases.
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 Glue Schema Registry
Why this is correct
Manages schema evolution for streaming data.
Related concept
Standard ACLs match source addresses.
AWS Snowball Edge
Why it's wrong here
Snowball is for large batch transfers.
Amazon AppFlow
Why it's wrong here
AppFlow is for SaaS applications.
Amazon Kinesis Data Streams with Kinesis Agent
Why it's wrong here
Kinesis Agent is for log files, not database CDC.
AWS Database Migration Service (DMS) with CDC
Why this is correct
DMS captures ongoing changes from Oracle.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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 DEA-C01 ACL questions on filtering logic and placement.
Data Ingestion and Transformation — study guide chapter
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FAQ
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Standard ACLs match source addresses..
The correct answer is: AWS Glue Schema Registry — Options A and D are correct. AWS DMS with CDC captures ongoing changes, and AWS Glue Schema Registry handles schema evolution. Option B (Kinesis) is not for database CDC. Option C (Snowball) is batch. Option E (AppFlow) is for SaaS, not on-prem databases.
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 DEA-C01 ACL questions on filtering logic and placement.
Standard ACLs match source addresses.
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Last reviewed: Jun 20, 2026
This DEA-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 DEA-C01 exam.
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